Search Results for: NOLA2 gene

04/14/2025 - Gene set analysis (GSA) is essential in genomic research, yet traditional methods often lack transparency and produce contextually irrelevant results, making interpretation challenging. While large language models (LLMs) offer a promising solution for result Read More...

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...

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...

In order to create a ggplot2 bar plot we will need to reshape the data. The sample names should be in a single column named Sample and the gene counts in a single column named Read More...

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...

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...

Many of the packages that handle RNASeq count data do not work correctly with decimal numbers. We need to convert these numbers to integers using mutate() . Save your transformed data frame to an object named Read More...

06/24/2025 - Tran late gene li t into biological in ight u ing pathway enrichment tool . Thi training will provide an overview the current tatu of pathway tool , with focu on oftware available to NIH community.  Read More...

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...

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...

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...

03/27/2024 - DAVID (the Database for Annotation, Visualization and Integrated Discovery) provides a comprehensive set of functional annotation tools for investigators to understand the biological meaning behind large lists of genes acquired from high-throughput assays such Read More...

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...

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.

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...

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...

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...

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...

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...

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...

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...

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...

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...

06/04/2025 - Ho t: Dr. Daniel Lar on: dan.lar on@nih.gov ; Laboratory of Receptor Biology and Gene Expre ion, CCR, NCI, NIH

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...

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...

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...

04/10/2025 - The cost of handling rare and/or late-stage diseases far exceeds preventative strategies. Cell and gene therapies can be quite cost-effective when applied at large population scales (e.g. pandemic vaccines and transfusions).   AI Read More...

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...

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...

04/03/2025 - DAVID (the Database for Annotation, Visualization and Integrated Discovery) provides a comprehensive set of functional annotation tools for investigators to understand the biological meaning behind large lists of genes acquired from high-throughput assays such Read More...

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...

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...

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...

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...

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...

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...

This tutorial assumes that all pre-processing steps (read demultiplexing, FASTQ QC, reference based alignment, error correction) have been completed. At this stage of the analysis, a gene-by-cell count matrix has been generated for each sample.

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...

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...

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...

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...

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...

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...

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...

02/21/2024 - https://cap-lab.bio (link is external) https:// (link is external) qiime2.org (link is external) The QIIME platform, including QIIME 1 and QIIME 2 ( https://qiime2.org (link is external) ), has been extensively applied in microbiome Read More...

To reassign an object, simply overwrite the object. #object with gene named 'tp53' gene_name

Bioconductor packages are divided into four types: software annotation data experiment data workflows. Software packages themselves can be subdivided into packages that provide infrastructure (i.e., classes) to store and access data, and packages that Read More...

#Run one step at a time with intermediate objects. #We've done this a few times above #select gene, logFC, FDR dexp_s 1 TSPAN6 -0.390 0.00283 2 DPM1 0.198 0.0770 Or we could nest a function within a function.

::: {.cell} #Run one step at a time with intermediate objects. #We've done this a few times above #select gene, logFC, FDR dexp_s 1 TSPAN6 -0.390 0.00283 2 DPM1 0.198 0.0770 ::: ::: Or we could nest a function within a Read More...

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...

The QIIME2 platform can be used for different types of -omics data. For this course, we will be focusing on targeted amplicon sequencing of the 16S rRNA gene. The 16S rRNA gene (~1500 bp) codes for Read More...

To reassign an object, simply overwrite the object. #object with gene named 'tp53' gene_name

#rename using the syntax new_name = old_name ex1 ## 1 TSPAN6 -0.390 0.00283 ## 2 DPM1 0.198 0.0770 ## 3 SCYL3 0.0292 0.844 ## 4 C1orf112 -0.124 0.682 ## 5 CFH 0.417 0.00376 ## 6 FUCA2 -0.250 0.0186 ## 7 GCLC -0.0581 0.794 ## 8 NFYA -0.509 0.00126 ## 9 STPG1 -0.136 0.478 ## 10 NIPAL3 -0.0500 0.695 ## # ℹ 15,916 more rows Note If you want to retain Read More...

The QIIME platform, including QIIME 1 and QIIME 2, has been extensively applied in microbiome research, repeatedly making analyses that were challenging or impossible into routine tasks. While QIIME began as a marker gene (e.g., 16S, Read More...

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...

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...

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...

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...

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...

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...

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...

[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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

This archive contains past and present issues of the  BTEP BioInformatics Bulletin. The BTEP Bioinformatics Bulletin features select upcoming bioinformatics events offered across NIH and is distributed monthly via email to the Center Read More...

04/16/2025 - Updated Location: ATRF, Frederick MD, Main Auditorium What to bring:  Laptop capable of connecting to internet via NIH wifi For questions or to register, please contact Amy Stonelake ( amy.stonelake@nih.gov ) Read More...

04/15/2025 - What to bring:  Laptop capable of connecting to internet via NIH  wifi Are you looking to expand the reach of your sequencing to enable what long read technologies can provide?& Read More...

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...

General questions or comments about the BTEP program or classes should be addressed to: NCIBTEP@nih.gov Desiree Tillo, Ph.D . Staff Scientist desiree.tillo@nih.gov I have a broad research background in bioinformatics Read More...

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...

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...

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...

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...

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...

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...

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...

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...

11/07/2024 - Dr. Blackshaw's work investigates the molecular mechanisms controlling neurogenesis and cell fate specification in the vertebrate forebrain, with a particular focus on the retina. He currently focuses on the use of comparative S Read More...

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...

09/30/2024 - In this webinar, you'll gain insights into the Electronic Medical Record Search Engine (EMERSE). EMERSE is a simple, powerful tool to help researchers like you identify key data within free text clinical notes Read More...

08/14/2024 - In this introduction session, Dr. Yana Stackpole will discuss biologist-friendly ways to import and analyze RNAseq data in Qlucore, followed by integrated GSEA for biological interpretation.   She will pick a public cancer-related Read More...

06/14/2024 - Data Sharing and Reuse Seminar Series Please join us for the June Data Sharing and Reuse Seminar where Micahel Schatz, Ph.D. will be presenting "BioDIGS: BioDiversity and Informatics for Genomics Scholars. This Read More...

06/06/2024 - The Brooks Lab developed a computational tool called FLAIR (Full-Length Alternative Isoform Analysis of RNA) to produce confident transcript isoforms from long-read RNA-seq data with the aim of alternative isoform detection and quantification. With Read More...

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...

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...

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...

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...

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...

The Seurat v5 object doesn’t require all assays have the same cells. In this case, Cells() can be used to return the cell names of the default assay while colnames() can be used to Read More...

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...

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...

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...

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...

05/23/2024 - An exciting opportunity at the intersection of the biomedical sciences and machine learning stems from the growing availability of large-scale multi-modal data (imaging-based and sequencing-based, observational and perturbational, at the single-cell level, tissue-level, and Read More...

What is BTEP? BTEP is the NCI CCR Bioinformatics Training and Education Program. The BTEP mission is to enable scientists to understand and analyze their own experimental data. At BTEP, we do this Read More...

05/02/2024 - The explosion of biomedical big data and information in the past decade or so has created new opportunities for discoveries to improve the treatment and prevention of human diseases. As such, the field of Read More...

04/22/2024 - Intended Audience This webinar targets researchers interested in exploring genomic mutation analysis capabilities within the recently introduced NCI Genomic Data Commons (GDC) 2.0 platform. It aims to accommodate individuals interested in analyzing genes and mutations Read More...

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...

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...

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...

Vectors are probably the most used commonly used object type in R. A vector is a collection of values that are all of the same type (numbers, characters, etc.). The columns that make up a Read More...

select() requires the data frame followed by the columns that we want to select or deselect as arguments. #select the gene / transcript, logFC, and FDR corrected p-value #first argument is the df followed by columns Read More...

Let's learn how to further work with vectors, including creating, sub-setting, modifying, and saving. #Some possible RNASeq data cell_line

Objectives To explore Bioconductor, a repository for R packages related to biological data analysis. To learn about options for report generation with R: RMarkdown and Quarto. Introducing Bioconductor Bioconductor is both an open source project Read More...

Objectives To understand some of the most basic features of the R language including: Creating R objects and understanding object types Using mathematical operations Using comparison operators Creating, subsetting, and modifying vectors By the end Read More...

A way to add variables to a plot beyond mapping them to an aesthetic is to use facets or subplots. There are two primary functions to add facets, facet_wrap() and facet_grid() . If faceting Read More...

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...

Data visualization with ggplot2 Objectives To learn how to create publishable figures using the ggplot2 package in R. By the end of this lesson, learners should be able to create simple, pretty, and effective figures. Read More...

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...

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...

01/26/2024 - The RDI SIG is a trans-institute group whose investigators apply informatics approach to curate, harmonize, standardize, and analyze biomedical data obtained from a variety of resources (i.e., gene sequences, bioassays, electronic health records Read More...