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Confocal
2024 Date: Tuesday, October 15, 2024 Time and Location: 11 am EST, ZOOM (INVITATION BY LMIG LIST SERVER) Speaker: Dr. Diego Presman (U Buenos Aires) Title: “Insights on Glucocorticoid Receptor Activity Through Live Cell Imaging” Summary: Eucaryotic transcription factors ( Read More...
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What is Visium FFPE v2 with CytAssist? Visium FFPE v2 is sequencing-based spatial profiling technology developed by 10x Genomics. This assay can take mouse or human tissue sections on normal glass slides as input and Read More...
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Bioinformatics
What is one way we could use to visualize gene expression? {{Sdet}} Answer{{Esum}} We can use a heatmap which plots gene expression values on a color scale and allows us to discern gene expression Read More...
Bethesda, MD
Core Facility
The core provides access to several different state-of-the-art 3D microscopes as well as computers to visualize and process image data. The facility houses equipment for 2D or 3D imaging of fixed and living specimens. High Read More...
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Bioinformatics
01/24/2024 - Dear colleagues, Please join us on Wed., Jan. 24 when Dr. Avi Ma’ayan from the Icahn School of Medicine at Mount Sinai will demonstrate how to use these tools to access hundreds of thousands Read More...
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Bioinformatics
05/18/2022 - Powerful and Intuitive Gene Expression Visualization Tools to Interpret Biological Signals – Bulk and Single Cell Data The increasing use of genomic technologies, such as RNA-Seq and single cell RNA-Seq, to assess gene expression patterns Read More...
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Bioinformatics
06/20/2014 - NCI CCR http://bioinformatics.nci.nih.gov/training/ and the NIH Library Bioinformatics Support Program http://nihlibrary.nih.gov/Bioinformatics are partnering to sponsor training on the use of NCBI GEO Datasets to analyze Read More...
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Bioinformatics
Normalization of gene expression estimates obtained from the quantification step is important as this will remove technical or non-biological variants in the data such as: Differences in sequencing depth between samples (ie. not all samples Read More...
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Bioinformatics
03/04/2025 - Alignment of RNA sequencing data enables researchers to identify where in the genome each sequence came from. However, it does not inform of how many sequences aligned to each genomic feature such as a Read More...
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Bioinformatics
01/03/2024 - on Wednesday, January 3rd at noon in Building 41, Conference Room C507/C509 and online. In-person attendance is encouraged. Dr. Larson's research is focused on understanding gene expression in eukaryotic Read More...
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Bioinformatics
Differential expression and interpretation of results Brief introduction to gene ontology and pathway analysis
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Bioinformatics
07/15/2021 - Meeting Link: https://cbiit.webex.com/cbiit/j.php?MTID=m933690e1ccdbfd15ae3f75d1cbec3b95 TOPIC: AI in Molecular Data, presented by NVIDIA This talk will describe machine learning and deep Read More...
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Bioinformatics
07/15/2021 - Registration: https://btep.ccr.cancer.gov/classes/ai_three/ Meeting Link: https://cbiit.webex.com/cbiit/j.php?MTID=m933690e1ccdbfd15ae3f75d1cbec3b95 Description: This talk will describe machine learning Read More...
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Bioinformatics
06/15/2020 - This session will focus on NGS data, multi-omics analysis of array, and sequence data. Participants will work with text files in GeneSpring for NGS gene expression workflow and .vcf files for variant analysis.
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Bioinformatics
11/14/2012 - This is a repeat class for those who couldn't make it into the class on October 9th Learn the basics of microarray gene expression analysis using Partek Genomics Suite and Partek Pathway. As Read More...
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Bioinformatics
10/09/2012 - Learn the basics of microarray gene expression analysis using Partek Genomics Suite and Partek Pathway. As we walk though hands-on analysis of a cancer dataset, you will learn the principles of experimental design, batch Read More...
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Bioinformatics
Go back to /data/user/hcc1395_b4b. cd /data/user/hcc1395_b4b Create a directory called hcc1395_featurecounts. mkdir hcc1395_featurecounts Go back into /data/user/hcc1395_b4b/hcc1395_hisat2 for this Read More...
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Bioinformatics
Gene expression table can be generated from the read alignment. Options for generating an expression table. Because there a GTF annotation file is avaialable, this exercise will use the Quantify to annotation model (Partek E/ Read More...
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Bioinformatics
The module featureCounts from the subread package will be used to quantify gene expression. In the featureCounts command below: -p: specifies the presence of paired end data. --countReadPairs: specifies to count both reads in a Read More...
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Bioinformatics
import pandas import seaborn import matplotlib.pyplot as plt counts1=pandas.read_csv("./hbr_uhr_top_deg_normalized_counts.csv", index_col=[0]) seaborn.clustermap(counts1,z_score=0,cmap="viridis", figsize=(5,5)) plt. Read More...
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Bioinformatics
09/11/2024 - Qlucore Omics Explorer is a point-and-click package available to NCI CCR scientists that enables visualization-based analysis of multi-omics data including RNA-seq, scRNA-seq, proteomics, metabolomics, as well as enabling the use of machine learning classification Read More...
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Bioinformatics
Let's now create a gene expression heatmap for results generated using the classification based approach. We have our results.csv and design.csv file in our salmon directory so we just need to do Read More...
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Bioinformatics
09/22/2021 - Registration is required. During this upcoming webinar, Dr. Yanjun Qi will demonstrate AttentiveChrome, an attention-based deep learning approach that uses a unified architecture to model and interpret interactions and dependencies among the chromatin factors Read More...
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Bioinformatics
02/20/2020 - Learn how to easily analyze your gene expression data yourself - using Qlucore Omics Explorer NCI/CCR:To get access to Qlucore, put a request into NCI at Your Service under Get Help https:// Read More...
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Bioinformatics
07/17/2019 - Learn how to get started on using QIAGEN’s Ingenuity Pathway Analysis (IPA) to quickly identify biological relationships, mechanisms, pathways, functions and diseases most relevant to experimental datasets. IPA is cited in >16,000 Read More...
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Bioinformatics
{{Sdet}}{{Ssum}}Gene expression by microarray{{Esum}} CLC Genomics Workbench What file types can I start my analysis with? Affymetrix Gene Chip (CHP, NetAFFx, CEL) Illumina BeadChip TSV CSV Partek Flow What file types can Read More...
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Bioinformatics
We want to add the columns gene_symbol and Description from one data table to another data table containing our differential expression results. First, let's load our data. gene_info_fp<-file. Read More...
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Bioinformatics
01/27/2021 - Please plan to attend the Earl Stadtman Investigator Program search seminar by: Qian Zhu, Ph.D. Dana Farber Cancer Institute/Boston Children's Hospital Dr. Zhu's research interests include: single-cell genomics; spatial transcriptomics; Read More...
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Bioinformatics
10/02/2012 - Microarray Technology and Preprocessing Quality Control Normalization Using MAS5 and RMA Filtering Batch Effect Correction Basic Statistical Tests for Differentially Expressed Genes T-test ANOVA SAM Calculating False Discovery Rate Principal Components Analysis and Clustering Read More...
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Bioinformatics
02/24/2025 - AI Club is a weekly meeting that explores various topics relating to AI and deep learning in biomedical sciences, typically in a seminar, workshop, or journal club format. AI Club is intended to be Read More...
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Bioinformatics
10/18/2023 - This October session of the BTEP Coding club will feature a tutorial on how to access data from GEO as well as how to submit data to GEO.
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Bioinformatics
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Bioinformatics
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Bioinformatics
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Bioinformatics
05/22/2024 - This seminar provides an overview of differential expression testing with Seurat. Topics to be covered include preparing data for differential gene expression, d ifferential gene analysis between specific groups, d ifferential gene analysis for Read More...
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Protein Expression Laboratory The Protein Expression Laboratory develops, improves, and delivers protein-centric services. Our goal is to help client investigators achieve their research goals with the lowest possible cost in the shortest time. All PEL Read More...
Frederick, Maryland
Core Facility
The Protein Expression Laboratory produces proteins to help CCR investigators achieve their research goals with the lowest possible cost in the shortest time. PEL is operated by Leidos Biomedical Research Inc. on behalf of NCI Read More...
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Bioinformatics
04/01/2025 - Whether you are measuring mRNA expression, protein expression, DNA methylation, expressed miRNAs, protein binding to DNA or RNA, etc., you will likely end up with a list of genes or gene products from which Read More...
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Bioinformatics
07/19/2024 - The molecular mechanisms underlying many types of cancer involve aberrances in trans-acting factors and their binding to cis-regulatory elements to regulate gene expression. Techniques such as ChIP-seq, DNase-seq, and ATAC-seq are commonly used to Read More...
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Bioinformatics
The primary means of running differential expression in Seurat is through the FindMarkers function. The main usage for this function is as follows: FindMarkers(object,ident.1= ..., ident.2=..., test.use="wilcox", min.pct = 0.01, logfc. Read More...
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Bioinformatics
Differential expression analysis is the process of identifying genes that have a significant difference in expression between two or more groups. For many sequencing experiments, regardless of methodology, differential analysis lays the foundation of the Read More...
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Confocal
2025 Sebastian R, Sun EG, Fedkenheuer M, Fu H, Jung S, Thakur BL, Redon CE, Pegoraro G, Tran AD, Gross JM, Mosavarpour S, Kusi NA, Ray A, Dhall A, Pongor LS, Casellas R, Aladjem MI. Mechanism Read More...
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Bioinformatics
03/06/2025 - This class introduces participants to the first steps to differential expression analysis in bulk RNA sequencing which involves filtering out noise from (ie. genes without expression across samples) and performing QC on the gene Read More...
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Bioinformatics
01/22/2025 - This three hour online training covers QIAGEN’s CLC Genomics Workbench enables researchers to analyze NGS data without the use of command line and is a powerful tool for determining differential expression. Read More...
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Bioinformatics
03/11/2025 - In this class, participants will get hands-on experience with generating and interpreting differential gene expression analysis results from bulk RNA sequencing. In addition, participants will learn to generate common plots used to visualize bulk Read More...
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Bioinformatics
One particular critique of differential expression in single cell RNASeq analysis is p-value "inflation," where the p-values get so small that there are far too many genes exist with p-values below 0.05, even after Read More...
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Bioinformatics
From the paper where this data was obtained, the following (incomplete) list of gene markers was obtained: Mmp3: preadipocytes Mki67: proliferating cells Fabp4: differentiating beige adipocytes and differentiated beige adipocytes Scd1: differentiated beige adipocytes Ucp1: Read More...
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Employing spatial biology techniques enables acquisition of transcript and protein data from intact tissue sections, and in turn, spatial distribution information and cellular interaction patterns are revealed.
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Bioinformatics
1. Introduction and Learning Objectives This tutorial has been designed to demonstrate common secondary analysis steps in a scRNA-Seq workflow. We will start with a merged Seurat Object with multiple data layers representing multiple samples that Read More...
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Bioinformatics
There are some immediate problems with the data. The column names begin with numbers, which are not syntactic with R. The gene names are hybrids of Ensembl ID and gene symbols and will match neither Read More...
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Confocal
Research Mission The goal of OMAL’s research is to understand molecular mechanisms driving carcinogenesis and the reversal of this process through treatment, by utilization and advancement of optical microscopy techniques. These techniques include multiplex Read More...
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Bioinformatics
05/19/2025 - Immunotherapy has the potential to revolutionize the way we treat cancer, but a key challenge has been finding ways to tailor that therapy to the right patient at the right time. Attend this webinar, Read More...
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Bioinformatics
05/07/2025 - Join Dr. Eytan Ruppin, NCI investigator in the Center for Cancer Research, as he discusses Path2Space, a new and unpublished deep learning approach that predicts spatial gene expression directly from histopathology slides. Spatial Read More...
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Bioinformatics
03/13/2025 - UCSC Xena showcases seminal cancer genomics datasets from The Cancer Genome Atlas (TCGA) and the Pan-Cancer Atlas, as well as the Genomic Data Commons, Pan-cancer Atlas of Whole Genomes, and the International Cancer Genome Read More...
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Bioinformatics
10/30/2024 - In this session of the BTEP Coding Club, Emily Clough, PhD, GEO Curator, will explore updates to analysis tools available within the Gene Expression Omnibus (GEO), a public repository for gene expression and epigenomics Read More...
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Bioinformatics
09/10/2024 - The training will overview the current status of pathway tools, with focus on software available to NIH community. It will discuss the biological interoperation of mutation and expression data in the context Read More...
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Bioinformatics
In addition to the Heatmap and the FeaturePlot shown previously, two other options easily accessible through Seurat are the Dot Plot and Violin Plot. The dot plot can visualize relative expression level and expression fraction. Read More...
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Bioinformatics
Single cell RNASeq is a remarkably powerful tool for analyzing populations of cells that can be recovered from various experiments. Clustering and cell type annotation can be used to distinguish different populations with a level Read More...
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Bioinformatics
04/24/2024 - Please join us on Wednesday, April 24, 2024, when Dr. Abhishek Jha, co-founder and CEO of Elucidata, will present " Data Quality for LLMs: Building a Reliable Data Foundation." The presentation starts at 11:00 a.m. Read More...
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Bioinformatics
03/13/2024 - Dear Colleagues, UCSC Xena is a web-based visual integration and exploration tool for multi-omic data and associated clinical and phenotypic annotations. Xena showcases seminal cancer genomics datasets from Read More...
Frederick, MD
Core Facility
The Genomics Technology Laboratory is an integrated, high-throughput molecular biology laboratory focusing on the development of genetics and genomics technologies, data analysis, and information management tools, in support of CCR Investigators. The laboratory develops integrated Read More...
Rockville, MD
Collaborative
We are a bioinformatics team within the Center for Biomedical Informatics and Information Technology’s (CBIIT’s) Cancer Informatics Branch (CIB)—soon to be referred to as the Informatics and Data Science (IDS) Program. Headed Read More...
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The Genomics Laboratory (formerly Laboratory of Molecular Technology) is an integrated, high-throughput molecular biology laboratory focusing on the development of genetics and genomics technologies, together with associated laboratory automation systems, data analysis, and information management Read More...
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What is Xenium? Xenium is a high-resolution, imaging-based in situ spatial profiling technology from 10x Genomics that allows for simultaneous expression analysis of RNA targets (currently in range of 100’s) within the same tissue section. Read More...
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Employing spatial biology techniques enables acquisition of transcript and protein data from intact tissue sections, and in turn, spatial distribution information and cellular interaction patterns are revealed.
Bethesda, Maryland
Collaborative
Radiation Oncology Branch is part of CCR. Bioinformatics core is a collaborative resource to support ROB branch and provide service to ROB investigators from NCI and other Institutes access to new technologies, bioinformatics, statistical analysis Read More...
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Confocal
Techniques The Laboratory of Cancer Biology and Genetics Microscopy Core houses multiple systems that can be used to analyze cell structure, protein expression, and cell dynamics using immunofluorescence. These include inverted epifluorescence microscopes, a confocal Read More...
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Confocal
Our Team Tatiana S. Karpova Ph.D.Core Headkarpovat@nih.govBuilding 41, Room C615240-760-6637 David A. Ball Ph.D.Core Biologistballa@nih.govBuilding 41, Room B114D240-760-6577 Mohamadreza Fazel, Ph.D.Core Biologistmohamadreza. Read More...
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Confocal
2024 Coutinho, L. L., Femino, E. L., Gonzalez, A. L., Moffat, R. L., Heinz, W. F., Cheng, R. Y. S., Lockett, S. J., Rangel, M. C., Ridnour, L. A. & Wink, D. A. NOS2 and Read More...
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Bioinformatics
06/03/2025 - Class Description Introduction to RNA-Seq data analysis Step-by-step live demonstration of RNA-Seq analysis using the Galaxy platform What You’ll Learn: How to independently carry out the basic gene expression Read More...
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Bioinformatics
04/10/2025 - TumorDecon is a computational tool at an early stage of contributing to the intersection of bioinformatics and oncology. The goal of TumorDecon is to estimate the percentages of various immune cells from gene expression Read More...
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Bioinformatics
04/08/2025 - Reactome is a free, open-source, curated and peer-reviewed pathway database that includes bioinformatics tools for the visualization, interpretation and analysis of pathway knowledge. This lesson will showcase the capabilities of Reactome in garnering biological Read More...
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Bioinformatics
02/18/2025 - This class will introduce basic experimental and analytical considerations for bulk RNA sequencing, a technique that is used to profile gene expression at the tissue level. Information taught serves as the foundation for participants Read More...
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Bioinformatics
06/27/2024 - During this presentation, you will learn about the GenePattern ecosystem, an environment for accessible, reproducible research that has been serving the needs of the cancer genomics community since 2004. GenePattern hosts hundreds of genomics analysis Read More...
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Bioinformatics
It is next standard to scale and center the features in the data set prior to dimension reduction or visualization via heatmap. Scaling the data will keep highly expressed genes from dominating our analysis. This Read More...
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Bioinformatics
Now, that we have clusters, we can use differential expression analysis to uncover markers that define our clusters. These markers can be used to assign cell types to our clusters. First, because we are working Read More...
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Bioinformatics
After this class, participants will Become familiar analyzing single cell RNA sequencing data using Partek Flow including Importing of data into a Partek Flow project QA/QC, filtering, and normalizing of single cell RNA data Read More...
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Bioinformatics
02/01/2024 - Please plan to attend this seminar on Zoom tomorrow. The meeting is sponsored by the NIH Virology Interest Group, but Dr. Parker is using some exciting tools to examine gene expression at the subcellular Read More...
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Bioinformatics
First, we will want to fix the three immediate problems discussed above. Once those have been fixed, we are going to create a bar plot, using ggplot2 to plot the total gene counts per sample. Read More...
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Bioinformatics
There are two additional functions from Tidyr that are very useful for organizing data: unite() and separate() . These are used to split or combine columns. For example, you may have noticed that our feature column Read More...
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Bioinformatics
NCI scientists have many choices available to them for bioinformatic analyses of Next Generation Sequencing (NGS) data. While some require expertise in programming, others provide a more user-friendly, point-and-click interface. These options include programs for Read More...
Bethesda, MD
Core Facility
The CCR Genomics Core is located in Building 41 on the NIH Bethesda campus. The primary goal of the Core is to provide investigators from CCR/NCI and other NIH Institutes access to genomic technologies and Read More...
Bethesda, MD
Trans NIH Facility
The NIH Center for Human Immunology, Inflammation, and Autoimmunity (CHI) is a trans-NIH resource whose mission is to provide a collaborative hub of advanced translational immunology for NIH clinical and pre-clinical studies. This uniquely structured Read More...
Bloomington, IN
Repositories
Trans NIH Facility
The Bloomington Drosophila Stock Center (BDSC) collects, maintains, and distributes genetically defined strains of Drosophila melanogaster for research and education. The BDSC supports a large, worldwide community of scientists using Drosophila as a model organism Read More...
Bethesda, MD
Core Facility
The Genomics and Pharmacology Facility is part of the NCI's Center for Cancer Research (CCR), within the Developmental Therapeutics Branch. Its mission is to manage and assess molecular interaction data obtained through multiple platforms, increase Read More...
Frederick, Maryland
Core Facility
CLIA-Certified Technologies Offered: Fragment Analysis for Micro-satellite Instability Detection, Pharmacoscan Array for Pharmacogenomics, Mutation Detection for PCR and Sanger Sequencing, DNA extraction from whole blood, saliva, FFPE tissues, buccal swabs, nails, hair, PBMCs, buffy coats, Read More...
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The CLIA Molecular Diagnostics Laboratory (CMDL) provides an array of services for groups at the NIH Clinical Center, Fort Detrick, and Hood College, among others. They support cancer- and disease-related research by making Read More...
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CREx News & Updates July 2021 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Collaborative Research Exchange (CREx) News Site Spotlight FACILITY HIGHLIGHTS Learn more about services from the NHLBI Read More...
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[embed]https://youtu.be/yTl1Q0D7aZ0[/embed] 10x Genomics' supports multiple cancer research areas from single nucleotide and structural variant detection to single cell whole transcriptome gene expression analysis of thousands of individual Read More...
Bethesda, MD
Core Facility
Trans NIH Facility
The NHLBI Transgenic Core’s main mission is to keep up with the latest advancements in genome engineering technologies and to provide state-of-the-art services to assist NIH scientists in generating genetically engineered animal models. In Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New NIH Resource Resources Advance your research with the NIH Mouse Imaging Facility (MIF) The NIH Mouse Imaging Read More...
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Mass Spectrometry Section of the Collaborative Protein Technology Resource (Bldg. 37) Core Capabilities: Identification of proteins in complexes, organelles, subcellular fractions, or fluids. Global relative protein quantitation. Quantitation by isotopic labeling of cells in culture (SILAC) Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New CREx User Survey The CREx Team is carrying out a CREx User Survey. If you haven’t Read More...
Rockville, MD
Repositories
Trans NIH Facility
Thousands of molecular targets have been measured in the NCI panel of 60 human tumor cell lines. Measurements include protein levels, RNA measurements, mutation status, and enzyme activity levels. You can choose to search for a Read More...
Bethesda, MD
Core Facility
The Flow Cytometry Core (LGI) offers established technologies to support studies using flow cytometry and cell sorting. Established Technologies Applications that run on FACS Caliburs include: Immunophenotyping (up to 4-color), Intracellular markers, including cytokines and Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New CREx User Survey The CREx Team is carrying out a CREx User Survey. We would greatly appreciate Read More...
Web Page
CREx News & Updates October 2021 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Collaborative Research Exchange (CREx) News Site Spotlight FACILITY HIGLIGHTS Learn more about services from the CPTR Read More...
Web Page
CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New NIH Resource Resources Derive Greater Insights and Accelerate your Research Using Bioinformatic Tools! CREx is an NIH Read More...
Bethesda, MD
Collaborative
Repositories
The National Cancer Institute (NCI) is developing a national repository of Patient-Derived Models (PDMs) comprised of patient-derived xenografts (PDXs), patient-derived organoids (PDOrg), and in vitro patient-derived tumor cell cultures (PDCs) and cancer-associated fibroblasts (CAFs). These Read More...
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CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New Resources on CREx NCI CLIA Molecular Diagnostics Laboratory (CMDL) The NCI CMDL is available to assist all Read More...
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Confocal
HALO HALO is a powerful 2D image analysis tool with AI capabilities to perform annotations and analysis on bright-field and immunofluorescent images for digital pathology and numerous other applications. It offers a set of algorithms Read More...
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Confocal
General Usage Policies Principal investigators should read this document and sign it. PI’s/postdocs should attach a short-written summary of the project to the signed doc. If the project changes, Read More...
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Bioinformatics
Most BTEP courses include detailed course materials including lesson content, additional resources, and lesson associated data. These course materials are listed here so that learners can easily return to and review concepts taught in class Read More...
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Bioinformatics
03/18/2025 - This class is not hands-on and will demonstrate to participants the use of IGV for visualizing alignment results from Next Generation Sequencing using RNA as an example. After this class, participants will be able Read More...
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Bioinformatics
BTEP strives to maintain links to resources that should be of interest to CCR Bioinformatics Community. Some of the resources to will be accessible through more than one of these lists, but since the lists Read More...
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Bioinformatics
What is bioinformatics? Bioinformatics integrates biology, statistics, and computer science to develop and apply theory, methods, and tools for the collection, storage, and analysis of biological and related data. Bioinformatics plays a critical role in Read More...
Web Page
Bioinformatics
11/19/2024 - Partek Flow enables scientists to construct analysis workflows for multi-omics sequencing data including DNA, bulk and single cell RNA, spatial transcriptomics, ATAC and ChIP. It is a point-and-click software hosted on Biowulf, the NIH Read More...
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Bioinformatics
10/16/2024 - Dear Colleagues, Thanks to advances in single-cell genomics, researchers can construct large-scale organ atlases, giving you more accurate ways to study genetic mutations and alterations related to drug responses and disease. These Read More...
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Bioinformatics
06/12/2024 - Join us for an engaging training session where we will examine the similarities and differences between machine learning and statistical differential gene expression (DGE) analysis using Qlucore Omics Explorer. Qlucore Omics Explorer is a Read More...
Web Page
Bioinformatics
Transformed data will be available in the SCT assay, which is set as the default after running sctransform. During normalization, we can also remove confounding sources of variation, for example, mitochondrial mapping percentage The glmGamPoi Read More...
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Bioinformatics
Following Cell Ranger and/or other pre-processing tools, you will have a gene-by-cell counts table for each sample. The three most popular frameworks for analyzing these count matrices include: R ( Seurat ). Seurat, brought to you Read More...
Web Page
Bioinformatics
The role of cell clustering is to identify cells with similar transcriptomic profiles by computing Euclidean distances across genes . However, scRNA-Seq experiments include highly dimensional data, with each cell associated with the expression of thousands Read More...
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Bioinformatics
Many experiments look to compare to distinct populations, and scRNASeq is no exception. The two populations being compared can vary wildly from experiment to experiment; some look to draw comparisons based on the experimental condition, Read More...
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Bioinformatics
Some tools have been described in the previous session (see here ). Today, we will be focusing on the SingleR tool, which also requires the celldex package . In short, SingleR operates by comparing your current dataset Read More...
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Bioinformatics
The FindAllMarkers function is particularly useful in identifying the differentially expressed genes that distinguish several groups, such as seen here in the clusters. What makes this unique is that none of the identities are initially Read More...
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Bioinformatics
04/19/2024 - Dear Colleagues, This webinar will introduce TumorDecon, a computational tool that's at an early stage of contributing to the intersection of bioinformatics and oncology. TumorDecon aims to Read More...
Web Page
Bioinformatics
Course Overview Partek Flow is a start-to-finish solution for analyzing high dimensional multi-omics sequencing data. It is a point-and-click software and is suitable for those who wish to avoid the steep learning curve associated with Read More...
Web Page
Bioinformatics
To subset by column, we use the function select() . We can include and exclude columns, reorder columns, and rename columns using select() . Select a few columns from our differential expression results ( dexp ). We can select Read More...
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Bioinformatics
Let's grab some data. library ( tidyverse ) acount_smeta % dplyr :: rename ( "Feature" = "...1" ) acount #differential expression results dexp % filter ( ! Feature %in% dexp $ feature ) ## # A tibble: 48,176 × 9 ## Feature SRR1039508 SRR1039509 SRR1039512 SRR1039513 SRR1039516 SRR1039517 ## ## 1 Read More...
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Bioinformatics
Help Session Lesson 6 Let's grab some data. library ( tidyverse ) acount_smeta % dplyr :: rename ( "Feature" = "...1" ) acount #differential expression results dexp % filter ( ! Feature %in% dexp $ feature ) ## # A tibble: 48,176 × 9 ## Feature SRR1039508 SRR1039509 SRR1039512 Read More...
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Bioinformatics
Objectives Review important data wrangling functions Put our wrangling skills to use on a realistic RNA-Seq data set Data Wrangling Review Important functions by topic Importing / Exporting Data Importing and exporting data into the R Read More...
Rockville, MD
Trans NIH Facility
NISC’s role within NHGRI, and more broadly across NIH, aims to advance genome sequencing and its many applications, with a goal not simply to produce sequence data, but to produce the infrastructure required to Read More...
Bethesda, MD
Trans NIH Facility
The NIH Biowulf Cluster provides researchers with a world-class system to assist in solving complex biomedical problems as diverse as gene variation in worldwide human populations, deep learning to model protein structures, and PET brain Read More...
Bethesda, MD
Core Facility
Trans NIH Facility
The Center of Cellular Engineering (CCE) is a comprehensive facility that develops and manufactures a wide range of cell and gene therapies for early phase clinical trials. The CCE is currently manufacturing chimeric antigen receptor ( Read More...
Frederick, MD
Core Facility
The introduction of DNA sequencing instruments capable of producing millions of DNA sequence reads in a single run has profoundly altered the landscape of genetics and cancer biology. Complex questions can now be answered at Read More...
Web Page
CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More. New Resources on CREx NIMH Human Brain Collection Core (HBCC) The HBCC obtains human brain tissue, hair, and blood Read More...
Rockville, MD
Core Facility
Trans NIH Facility
The Functional Genomics Laboratory (formerly, the RNAi Screening Facility) of the National Center for Advancing Translational Sciences (NCATS) assist investigators with all stages of project planning and execution, beginning with assay development through genome-wide siRNA Read More...
Web Page
CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New CREx Program Manager The CREx Team is happy to announce Deepika Velampati as the new CREx Program Read More...
Web Page
Total end-to-end system for single-cell research [embed]https://youtu.be/vMzhSzg1rUw[/embed] The BD Rhapsody Single-Cell Analysis system empowers and streamlines your research with a complete system of tools, including reagents and analysis software, Read More...
Frederick, MD
Core Facility
NCI LASP Genome Modification Core (GMC) is a CCR-dedicated facility that provides advice, training, and reagents to NCI scientists seeking to utilize CRISPR and other nucleases to generate genome modifications in primary cells, cell lines, Read More...
Frederick, MD
Collaborative
The Biopharmaceutical Development Program (BDP) provides resources for the development of investigational biological agents. The BDP supports feasibility through development and Phase I/II cGMP manufacturing plus regulatory documentation.The BDP was established in 1993. We Read More...
Frederick, MD
Collaborative
The primary objective of the Protein Technology Core (PTC) is to establish an experimental screening pipeline for single-domain antibodies termed nanobodies. Nanobodies are antibody fragments consisting of a single monomeric variable antibody domain. The PTC, Read More...
Bethesda, MD
Trans NIH Facility
The Pathology Service, Division of Veterinary Resources (DVR), Office of Research Services (ORS), provides diagnostic gross and histopathologic evaluation of any species of laboratory animals used in the NIH Intramural Research Program due to morbidity, Read More...
Web Page
Supplemental Technology Award Review System (STARS) Overview STARS Request Form STARS System The Supplemental Technology Award Review System (STARS) is a web-based interface for submission and review of S&S supplement requests by CCR Read More...
Bethesda, MD
Collaborative
The Spatial Imaging Technology Resource (formerly the Nanoscale Protein Analysis Section of the Collaborative Protein Technology Resource or CPTR) provides expertise and service in state-of-the-art protein analysis technologies to advance CCR research in basic discovery Read More...
Frederick, MD
Core Facility
Protein Characterization Laboratory (PCL) offers various technologies to CCR investigators to characterize proteins and metabolites. The laboratory develops and applies state-of-the-art analytical technologies, primarily mass spectrometry, liquid chromatography, and Surface Plasmon Resonance (SPR), to advance Read More...
Bethesda, MD
Repositories
Trans NIH Facility
The NCI Genomic Data Commons (GDC) was established by the NCI Center for Cancer Genomics (CCG) to support the receipt, harmonization, distribution, and analysis of genomic and clinical data from cancer research programs. The GDC Read More...
Bethesda, MD
Trans NIH Facility
The facilities at AIM are available for use by the entire NIH intramural research community. While we welcome users with any size imaging project, AIM specializes in large, yearlong (or longer), collaborative research efforts with Read More...
Frederick, MD
Core Facility
Repositories
The Mouse Modeling Core assists NIH investigators by generating and preserving genetically-engineered mouse strains. Services include scientific consultation, gene-targeting in mouse embryonic stem cells, micro-injection of nucleic acids, proteins, or ES cells into mouse embryos, Read More...
Web Page
The OSTR offers cutting-edge technology platforms to the CCR scientific community through centralized facilities. The videos accessed through this page are designed to introduce the various scientific methodologies OSTR makes available through the cores on Read More...
Web Page
Back Services: We offer a limited sample processing service using standard SEC-MALS and FFF protocols. This service is intended for the occasional users of this system. Researchers who expect to use this instrument Read More...
Web Page
Back Services: We offer a limited sample processing service using standard SEC-MALS and FFF protocols. This service is intended for the occasional users of this system. Researchers who expect to use this instrument Read More...
Web Page
Confocal
2024 L. Balagopalan, T. Moreno, H. Qin, B. C. Angeles, T. Kondo, J. Yi, K. M. McIntire, N. Alvinez, S. Pallikkuth, M. E. Lee, H. Yamane, A. D. Tran, P. Youkharibache, R. E. Cachau, N. Taylor, Read More...
Web Page
Confocal
Stephen Lockett, Ph.D. Director, OMAL locketts@nih.gov 301-846-5515 Valentin Magidson, Ph.D. Scientist magidsonv@mail.nih.gov 301-846-6092 Will Heinz, Ph.D. Scientist heinzwf@nih.gov 301-846-1239 David Read More...
Web Page
Confocal
General Microscopy Resources Confocal Listserv Email discussion list focused on confocal microscopy, but also including topics on fluorescence microscopy and digital imaging. MicroscopyU Online learning platform by Nikon. An online source for Microscopy education. Leica Read More...
Web Page
Bioinformatics
Listed below are the video recordings of past BTEP events (classes, seminars, workshops). Videos are hosted on various servers and may play slightly differently. Some videos may be downloaded for local viewing. Recorded Videos of Read More...
Web Page
Bioinformatics
Learning Objectives This tutorial was designed to demonstrate common secondary analysis steps in a scRNA-Seq workflow. We will start with a merged Seurat Object with multiple data layers representing multiple samples. Throughout this tutorial we Read More...
Web Page
Bioinformatics
This lesson provides an introduction to R in the context of single cell RNA-Seq analysis with Seurat. Learning Objectives Learn about options for analyzing your scRNA-Seq data. Learn about resources for learning R programming. Learn Read More...
Web Page
Bioinformatics
The Advanced Biomedical Computational Science (ABCS) group focuses on applications of bioinformatics, computational and data science, and artificial intelligence to support NCI researchers. ABCS provides: • Subject matter expertise in genomics, proteomics, and imaging. • Machine learning/ Read More...
Web Page
Bioinformatics
In this lesson, attendees will learn how to transform, summarize, and reshape data using functions from the tidyverse. Learning Objectives Continue to wrangle data using tidyverse functionality. To this end, you should understand: how to Read More...
Web Page
Bioinformatics
In this lesson, attendees will learn how to transform, summarize, and reshape data using functions from the tidyverse. Learning Objectives Continue to wrangle data using tidyverse functionality. To this end, you should understand: how to Read More...
Web Page
Bioinformatics
This lesson will introduce data wrangling with R. Attendees will learn to filter data using base R and tidyverse (dplyr) functionality. Learning Objectives Understand the concept of tidy data. Become familiar with the tidyverse packages. Read More...
Web Page
Bioinformatics
As you can see from the image, there are several accessor functions to access the data from the object: assays() - access matrix-like experimental data (e.g., count data). Rows are genomic features (e.g., Read More...
Web Page
Bioinformatics
Introduction to dplyr and the %>% Objectives Today we will begin to wrangle data using the tidyverse package, dplyr . To this end, you will learn: how to filter data frames using dplyr how to employ Read More...
Web Page
Bioinformatics
Data import and reshape Objectives 1. Learn to import multiple data types 2. Data reshape with tidyr : pivot_longer() , pivot_wider() , separate() , and unite() Installing and loading packages So far we have only worked with objects that Read More...
Web Page
Bioinformatics
Objectives To explore Bioconductor, a repository for R packages related to biological data analysis. To better understand S4 objects as they relate to the Bioconductor core infrastructure. To learn more about a popular Bioconductor S4 Read More...