Search Results for: nCounter probe sets

07/07/2025 - Dr. Theodore Alexandrov lead a multidi ciplinary team of cienti t and oftware engineer dedicated to developing cutting-edge technologie for patial and ingle-cell metabolomic (http ://ateam.uc d.edu). They have developed META PACE, Read More...

03/20/2024 - Dear Colleagues,   cBioPortal is an open-access resource for interactive exploration of multidimensional cancer genomics data sets, currently providing access to data from >200,000 tumor samples collected from >400 published cancer Read More...

NanoString Technology The nCounter® Analysis System is an automated, multi-application, digital detection and counting system which directly profiles up to 800 molecules simultaneously from a single sample using a novel barcoding technology. Profile hundreds of mRNAs, 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...

Proteomic Data Common (PDC) represents the NCI’s largest public repository of proteogenomic comprehensive tumor datasets, essentially a Proteogenomic Cancer Atlas. It was developed to advance our understanding of how proteins help shape the risk, Read More...

07/24/2024 - As a cancer researcher, did you know that  data sharing  is now required by many funding agencies and journals? Join NCI CBIIT’s  Dr. Jill Barnholtz-Sloan & Read More...

help() and ? "provide access to the documentation pages for R functions, data sets, and other objects". help.search() "allows for searching the help system for documentation matching a given character string in Read More...

Seurat v5 introduced the following new features: Integrative multi-modal analysis with bridge integration ‘Sketch’-based analysis of large data sets methods for spatial transcriptomics assay layers You can read about major changes between Seurat v5 Read More...

Integration is the process of aligning the same cell types across samples, treatments, data sets, batches, etc. Clustering should represent biological differences and not technical artifacts. Integration is not always necessary. You should run through Read More...

05/10/2024 - Please join us for the May Data Sharing and Reuse Seminar featuring Dr. Ali Loveys and Fiona Meng from FI Consulting. They will be sharing their presentation on Laying the Foundation for AI-Ready Data. Read More...

Lesson 3 covered data import and reshaping. Data unavailable through base R or other R packages, can be downloaded here . The survey / species data sets were obtained from a data carpentry lesson Data Analysis and Visualization Read More...

The provided data set is an example of a real count matrix returned from the NCI CCR Sequencing Facility (CCR-SF). The provided file ( ./data/SF_example_RNASeq_1.txt ) contains RNAseq data for two sets of Read More...

ORA and FCS discard a large amount of information. These methods use gene sets, and even if the gene sets represent specific pathways, structural information such as gene product interactions, positions of genes, and types Read More...

Thus far we have: Downloaded raw RNA-Seq data (.fastq files). Examined raw data quality using fastqc and multiqc . Performed adapter and quality trimming using Trimmomatic . Aligned the raw sequences to a reference genome (human chromosome 22 Read More...

R batch jobs are similar to any other batch job. A batch script ('rjob.sh') is created that sets up the environment and runs the R code. --- R/Bioconductor on Biowulf

help() and ? "provide access to the documentation pages for R functions, data sets, and other objects". help.search() "allows for searching the help system for documentation matching a given character string in Read More...

With specimens that span neurological, neuropsychiatric, and neurodevelopmental diseases and disorders, the NBB serves as a central point of access to the world-class collections of our six biorepositories. In addition, the NBB provides researchers with Read More...

The NCI Cloud Resources are components of the NCI Cancer Research Data Commons (CRDC) that bring data and computational power together to enable cancer research and discovery. These cloud-based platforms eliminate the need for researchers Read More...

CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New Resources on CREx NIH NeuroBioBank (NBB) The NBB provides researchers with access to human post-mortem brain tissue Read More...

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...

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...

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...

The Biomedical Engineering and Physical Science (BEPS) shared resource supports NIH’s intramural basic and clinical scientists on applications of engineering, physics, imaging, measurement, and analysis. BEPS is centrally located on the main NIH campus 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...

The Molecular Pathology Unit is intended to spearhead opportunities for bridging basic and clinical research efforts by more precisely optimizing the development, characterization, and utilization of models of human disease. The initiative approach includes both 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...

The Clinical Image Processing Service (CIPS) offers timely and accurate advanced image processing of diagnostic radiology images for clinical care, research, and training. CIPS’ functions include clinical services and scientific researches. Established Technologies: CIPS can Read More...

Molecular Cytogenetics Core Facility facilitates the assessment of structural and numerical genomic changes in pre-cancer and cancer research models. This core provides comprehensive support for the cytogenetic analysis of cells from human and research animal Read More...

04/17/2025 - Cardinal Bernardin Cancer Center Virtual Grand Rounds Interested in learning about various cancer indicators, approaches for data integration , and how to leverage data to drive scientific discovery? Then join NCI CBIIT’s 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...

10/24/2024 - NIH Text Mining and Natural Language Processing SIG is pleased to welcome you to this special event featuring two extraordinary speakers focused on the applications of Deep Learning in Computational Biology.  & Read More...

Please see https://bioinformatics.ccr.cancer.gov/btep/self-learning/ to sign up for a license. Contact ncibtep@nih.gov with any questions about obtaining a license. Did you know that CCR researchers have access to Read More...

06/11/2024 - Large language models (LLMs) are artificial intelligence (AI) algorithms that employ deep learning and extensive data sets to create new content. LLMs offer many possible applications in the biomedical field, such as the development 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...

When using SingleR, the 3 primary parameters are the experimental dataset, the reference dataset, and the labels being used. Continuing with the main labels of the MouseRNASeq dataset on the full dataset looks like this: annot = Read More...

Clustering is used to group cells by similar transcriptomic profiles. Seurat uses a graph based clustering method. You can read more about it here . The first step is to compute the nearest neighbors of each Read More...

05/15/2024 - To register to attend, you must log in to your SITC Cancer Immunotherapy CONNECT account. Don’t have an account?  Create a free one . Join Dr. Karchin of the Johns 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...

03/27/2024 - This half-day, virtual workshop features representatives from NCI cancer data cloud resources, including the  NCI Cancer Research Data Commons  (CRDC),  Institute for Systems Biology Cancer Gateway in the Read More...

The Bioinformatics Training and Education Program (BTEP) was established by the Office of Science and Technology Resources (OSTR) for the purpose of providing training enabling scientists to understand and analyze their own experimental data, at Read More...

R packages are loadable extensions that contain code, data, documentation, and tests in a standardized shareable format that can easily be installed by R users. CRAN = the primary repository for R packages. To install a Read More...

"Keep raw data separate from analyzed data" -- datacarpentry.org For large genomic data sets, you may want to include a project folder with two main subdirectories (i.e., raw_data and data_ Read More...

There are data sets available in R to practice with or showcase different packages. For today's lesson and the remainder of this course, we will use data from the Bioconductor package airway to showcase Read More...

Tidy data implies that we have one observation per row and one variable per column. This generally means data is in a long format. However, whether data is tidy or not will depend on what Read More...

Tidy data implies that we have one observation per row and one variable per column. This generally means data is in a long format. However, whether data is tidy or not will depend on what Read More...

Get the data Lesson 1 No data available. Lesson 2 No data available. Lesson 3 Lesson 3 covered data import and reshaping. Data unavailable through base R or other R packages, can be downloaded here . The survey / species data Read More...

Let's use our practice data set again, and see if we can predict group membership (old vs young) by microbial composition. We will use the sample-classifier pipeline. This pipeline splits our data into training Read More...

We can use the airway package to see how this container works, including how to access and subset the data. What is the airway package? There are data sets available in R to practice with Read More...

Bray-Curtis dissimilarity quantitative Takes into consideration abundance and presence absence Jaccard - qualitative - presence / absence - percentage of taxa not found in both samples Weighted UniFrac quantitative similar to Bray-Curtis but takes into consideration Read More...

12/06/2023 - NIDAP, the NIH Integrated Data Analysis Platform, is a cloud-based and collaborative data aggregation and analysis platform. The NIDAP platform hosts user-friendly bioinformatics workflows (Bulk RNA-Seq, scRNA-Seq, Digital Spatial Profiling) and other component analysis Read More...

09/21/2023 - Picture this… You have large amounts of siloed medical imaging data, but you don’t have the time or budget to manually prepare the images and datasets for annotation and analysis. Don’t you Read More...

NIDAP , the  N IH  I ntegrated  D ata  A nalysis  P latform, is an innovative, cloud-based, and collaborative data aggregation and analysis platform. The platform Read More...

For this class, we are going to work with data from and associated with two commercially available sets of RNA samples, Universal Human Reference (UHR) and Human Brain Reference (HBR). UHR - bulk RNA from 10 Read More...

Many of the tools used to understand functional enrichment will use sets of GO terms, examining GO enrichment. What do we mean by GO? The Gene Ontology (GO) provides a framework and set of concepts Read More...

DAVID compares the overlap of user provided gene list to an annotation to the overlap of a background gene list to the same annotation. Thus, DAVID is really using the Fisher exact test to determine Read More...

DAVID compares the overlap of user provided gene list to an annotation to the overlap of a background gene list to the same annotation. Thus, DAVID is using the Fisher exact test to determine if Read More...

-c -f 4 is counting alignments with the property/condition (-c) that the reads are unmapped (unaligned). Now we can reverse the flag (from -f to -F) and view the number of alignments. samtools view -c Read More...

-c -f 4 is counting alignments with the property/condition (-c) that the reads are unmapped (unaligned). Now we can reverse the flag (from -f to -F) and view the number of alignments. samtools view -c Read More...

Provides a gene-centric view which lists the genes and their associated annotation terms... -- DAVID help documents See https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4717906/ for difference between pathway and network analysis DAVID Read More...

Gene ontology and pathway analysis Objectives Determine potential next steps following differential expression analysis. Tour geneontology.org and understand the three main ontologies. Learn about different methods and tools related to functional enrichment and pathway Read More...

Database for Annotation, Visualization and Integrated Discovery (DAVID) - an overview Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 17 review In the previous class, we got an overview of Read More...

Retrieve R "helper" scripts developed for Biostars environment. curl -O http://data.biostarhandbook.com/rnaseq/code/deseq1.r curl -O http://data.biostarhandbook.com/rnaseq/code/deseq2.r curl -O http://data.biostarhandbook. Read More...

Retrieve R "helper" scripts developed for Biostars environment. curl -O http://data.biostarhandbook.com/rnaseq/code/deseq1.r curl -O http://data.biostarhandbook.com/rnaseq/code/deseq2.r curl -O http://data.biostarhandbook. Read More...

08/15/2023 - Picture this… You have large amounts of siloed medical imaging data, but you don’t have the time or budget to manually prepare the images and datasets for annotation and analysis. Don’t you Read More...

07/20/2023 - Picture this… You have large amounts of siloed medical imaging data, but you don’t have the time or budget to manually prepare the images and datasets for annotation and analysis. Don’t you Read More...

06/21/2023 - Picture this… You have large amounts of siloed medical imaging data, but you don’t have the time or budget to manually prepare the images and datasets for annotation and analysis. Don’t you Read More...

High resolution single cell profiling assays have provided an unprecedented view of many biological systems and processes, but the spatial context in which this biology is occurring is often crucial. Spatial profiling, including spatial transcriptomic Read More...

05/12/2023 - Are you familiar with the bioinformatics tools and databases Enrichr, Harmonizome, BioJupies, and ARCHS4, developed by the Ma’ayan Lab? In this webinar, Dr. Avi Ma’ayan describes two new Read More...

05/09/2023 - If you’re attending the  2023 Organization for the Study of Sex Differences (OSSD) annual meeting  from May 7-11, you’ll have the opportunity to hear about& Read More...

In this lesson we will use two different sets of data. First, we will use data available with your base R installation, the iris data set, which is stored in object iris . These data include Read More...

Until this point we have been plotting raw data with geom_point() , but now we will be introducing geoms that transform and plot new values from your data. Many graphs, like scatterplots, plot the raw Read More...

In this section we will learn how to construct bar plots using data obtained from a study that examined the effect that dietary supplements at various doses have on guinea pig tooth length. This data Read More...

Back Services: Biophysics Facility offers MDS as an open-access instrument. First-time users must complete a short training session before gaining access to the instrument reservation calendar. Training includes the KD determination of a standard molecular Read More...

Back Services: Biophysics Facility offers MST as an open-access instrument.  First-time users must complete a short training session before gaining access to the instrument reservation calendar.  Training includes the KD determination of a Read More...

Home About the Biophysics Core Biophysics Core Services [tabby title="Instrumentation"] NHLBI Biophysics Core The Biophysics Core Facility: Overview Core Facilities provide scientific resources, cutting-edge technologies and novel approaches to support DIR scientists. Availability of Read More...

The Chemistry and Synthesis Center (CSC) of the National Heart, Lung, and Blood Institute (NHLBI) provides IRP scientists with targeted imaging probes and chemical tools that help accelerate cell-based assays, in vivo imaging studies, and 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...

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...

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...

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...

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...

“Tidy datasets are all alike, but every messy dataset is messy in its own way.” –– Hadley Wickham. Messy data sets tend to share five common problems: Column headers are values, not variable names. Multiple variables Read More...

Welcome! Welcome to the R Introductory Series! Who: Novices and beginners\ What: A course series introducing R and RStudio. This course will introduce the foundational skills necessary to begin to analyze and visualize data in Read More...

Learning Objectives Learn about data structures including factors, lists, data frames, and matrices. Load, explore, and access data in a tabular format (data frames) Learn to write out (export) data from the R environment Data 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...

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...

The object class used by the DESeq2 package to store the read counts and the intermediate estimated quantities during statistical analysis is the DESeqDataSet. --- Analyzing RNA-seq data with DESeq2 Constructing this object from a Read More...

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...

Lesson 6 . Learning Objectives Introduce several beta diversity metrics Discover different ordination methods Learn about statistical methods that are applicable Beta diversity Beta diversity is between sample diversity. This is useful for answering the question, how Read More...

Lesson 7: Course Wrap-Up Learning Objectives Introduce the QIIME2 microbiome workflow for Biowulf Review key concepts Showcase additional plugins QIIME 2 on Biowulf As mentioned previously, QIIME 2 is installed on Biowulf. To see available versions use module Read More...

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...

Retrieve R "helper" scripts developed for Biostars environment. curl -O http://data.biostarhandbook.com/rnaseq/code/deseq1.r curl -O http://data.biostarhandbook.com/rnaseq/code/deseq2.r curl -O http://data.biostarhandbook. Read More...

Fisher Exact Test DAVID performs over representation analysis (ORA) at its core, which aims to find enriched molecular functions, pathways, or other annotations represented by the input gene list. In other words, many genes in Read More...

Fisher Exact Test DAVID performs over representation analysis (ORA) at its core, which aims to find enriched molecular functions, pathways, or other annotations represented by the input gene list. In other words, many genes in Read More...

The SRA (Sequence Read Archive) at NCBI is a large, public database of DNA sequencing data. The repository holds "short reads" generated by high-throughput next-generation sequencing, usually less than 1,000 bp. We will download Read More...

Let's use the tool Trimmomatic to clean up the adapters and the poor quality reads for SRR1553606. For help with Trimmomatic type trimmomatic --help at the command line. Before getting started with using trimmomatic, Read More...

This page uses content directly from the Biostars Handbook by Istvan Albert (https://www.biostarhandbook.com). Always remember to load the bioinformatics environment. conda activate bioinfo SAM files SAM format is TAB-delimited, line-oriented, human-readable text Read More...

This page uses content directly from the Biostars Handbook by Istvan Albert (https://www.biostarhandbook.com). Always remember to load the bioinformatics environment. conda activate bioinfo SAM files SAM format is TAB-delimited, line-oriented, human-readable text Read More...

The bulk RNA-Seq test data we've been working with is in FASTQ format. We'd like to do a BLAST search on a couple of these sequences. Data must be in FASTA format to Read More...

This page uses content directly from the Biostar Handbook by Istvan Albert. Always remember to activate the bioinfo environment when working on Biostar class materials. conda activate bioinfo The bulk RNA-Seq test data we've Read More...

Database for Annotation, Visualization and Integrated Discovery (DAVID) - an overview Lesson 17 review In the previous class, we got an overview of functional and pathway analysis, which help to put RNA sequencing results into biological Read More...

Below, you will find questions and answers brought up in the course polls for the BTEP Bioinformatics for Beginners course series that took place from September 13th, 2022 to December 13th, 2022. Question 1 : Normalization - when to Read More...

BTEP Bioinformatics for Beginners (September 13th, 2022 - December 13th, 2022) Questions and Answers Below, you will find questions and answers brought up in the course polls for the BTEP Bioinformatics for Beginners course series that took Read More...

This page contains content taken directly from the Biostar Handbook (Istvan Albert). Always remember to activate the class bioinformatics environment. conda activate bioinfo For this data analysis, we will be using: Two commercially available RNA Read More...

This page contains content taken directly from the Biostar Handbook (Istvan Albert). Always remember to activate the class bioinformatics environment. conda activate bioinfo For this data analysis, we will be using: Two commercially available RNA Read More...

This page uses content directly from the Biostar Handbook by Istvan Albert. Review: * downloading data from SRA * decompressing tar files * e-utilities * fastq-dump Learn: * sra-stat * XML format * automating SRA downloads * working with comma-separated values (csv) format * Read More...

Lesson 7: Downloading the RNA-Seq Data and Dataset Overview Lesson Review pwd (print working directory) ls (list) touch (creates an empty file) nano (basic editor for creating small text files) using the rm command to remove Read More...

This page uses content directly from the Biostar Handbook by Istvan Albert. Obtain RNA-seq test data. The test data consists of two commercially available RNA samples: Universal Human Reference (UHR) and Human Brain Reference (HBR) . Read More...

Lesson 11: Merging FASTQ quality reports and data cleanup Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 10 Review In the previous lesson, we learned about the structure of the FASTQ Read More...

Lesson 4: Submitting R Scripts via command line Learning Objectives Learn how to use R with less interaction Learn how to deploy sbatch R jobs, and learn about alternatives such as swarm . Learn about R job Read More...

Lesson 1: Introduction to Biowulf, Unix, and R Learning Objectives Learn about why you may want to use R on Biowulf. Refresh Unix and R skills. This lesson will not be hands on. Why use R Read More...