Search Results for: bioinformatics

This lesson concludes the Bioinformatics for Beginners course series. Please email us any time at ncibtep@nih.gov for help with your bioinformatics questions or concerns.

No summary available.

08/07/2025 - This class benefits new staff or bioinformatics newcomers and will introduce educational resources, software (i.e. Unix, Biowulf, R, Python, commercial software, and cloud), and support communities for bioinformatics at NIH. Attendance is restricted Read More...

05/01/2025 - Integrating Mouse Models and Bioinformatics to Decode Cancer Progression

03/20/2025 - This class will serve as a review for essential Unix commands needed for bioinformatics. It is suitable for those who took BTEP's recent Bioinformatics for Beginners course series ( https://bioinformatics.ccr.cancer.gov/ Read More...

12/17/2024 - In this one-hour session we will describe resources available to NIH researchers for performing bioinformatics data analysis. These include trainings by specific groups or institutes (NCI, NIH Library, ODSS), licenses available for online learning ( Read More...

12/12/2024 - Knowledge of Unix command line is advantageous for scientists who are new to bioinformatics, as many tools are designed to run on Unix-like systems. High performance computing systems (e.g., NIH Biowulf) also require 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...

07/24/2024 - Knowledge of Unix command line is advantageous for scientists who are new to bioinformatics, as many tools are designed to run on Unix-like systems. High performance computing systems (e.g., NIH Biowulf) also require Read More...

The NIH Library provides expert guidance on bioinformatics, biostatistics, data visualization, and data curation throughout the research process. Explore a variety of classes, on-demand trainings, resources, and services related to data science and bioinformatics available Read More...

02/22/2024 - Join us for an introduction to bioinformatics resources for NCI CCR researchers.  Featuring:  NIH Bioinformatics Calendar Programming Classes (R, Unix, Python) Class documentation Website resources working on high performance compute cluster (Biowulf/Helix) Next-Gen Read More...

11/30/2023 - Greetings, NCI intramural researchers,   Earlier this year we reached out to gather your input on the formation of a bioinformatics community within the NCI Intramural Research Program.  Why create such Read More...

09/19/2023 - The NIH is home to a number of groups aimed at supporting bioinformatics, genomics, computational biology and various related topics. Many of these groups meet regularly to host talks or provide training opportunities, while Read More...

09/18/2023 - The NIH is home to a number of groups aimed at supporting bioinformatics, genomics, computational biology and various related topics. Many of these groups meet regularly to host talks or provide training opportunities, while Read More...

Why learn Bioinformatics? And Beginner Unix. Who should take this course: Learners who want to work with Next Gen Sequence data Pre-requisites: None, this class if for beginner level bioinformatics learners Learning Objectives: In the Read More...

This course was designed to teach the basic skills needed for bioinformatics, including working on the Unix command line. This course primarily focuses on RNA-Seq analysis. All steps of the RNA-Seq workflow, from raw data Read More...

This course follows along closely with the Biostar Handbook content, and course registration comes with a Biostar Handbook license. You will receive an email from hello@biostarhandbook.com with information detailing how to set up Read More...

Accessing the Biostar Handbook This course follows along closely with the Biostar Handbook content, and course registration comes with a Biostar Handbook license. You will receive an email from hello@biostarhandbook.com with information detailing Read More...

RNA-seq Bioinformatics Course from the Griffith lab.

2020 Bioinformatics for Beginners Course using the Biostars Handbook

L1 Why bioinformatics? L2 Intro to statistics?

L1 Why bioinformatics? L2 Intro to statistics?

To access IPA, see the BTEP Bioinformatics Resources for CCR scientists website.

If you are using a Windows operating system, Windows 10 or greater, you can use the Windows Subsystem for Linux (WSL) for your computational needs. The Windows Subsystem for Linux (WSL) is a feature of the Read More...

on the front page is the NIH Bioinformatics Calendar (search by topic, or organizer, info on current, future and past events) Licenses are available to online learning platforms (Dataquest and Coursera), where you can learn Read More...

Most alignment algorithms rely on the construction of auxiliary data structures, called indices, which are made for the sequence reads, the reference genome sequence, or both. Mapping algorithms can largely be grouped into two categories 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...

12/11/2024 - This session of the BTEP Coding Club introduces NIH CloudLab, a free 90-day sandbox environment partnered with AWS, Google Cloud, and Azure, and demonstrates how to run Nextflow pipelines, a powerful workflow management system Read More...

09/23/2024 - Come to the Fair!  In the morning session, several different groups will speak about their training and education programs. The afternoon session will be devoted to learning about research using AI across Read More...

Dataquest licenses are no longer available. If you currently have a Dataquest license, you can continue using it until Sept 15, 2025. The Coursera platform contains thousands of courses developed by experts all over the world and Read More...

Congratulations, your experiments have been completed and you have a large amount of data. Now, it’s time to analyze these data. But where do you begin? How can you gain the most meaning from Read More...

Clinicians and bench scientists (a.k.a., wet lab researchers) are at the forefront of scientific achievement. However, most, if not all contemporary projects involve robust scientific analysis, where the tools of exploration aren’t Read More...

07/23/2024 - In this presentation, we will demonstrate how to use enterprise data science platform to configure, run, share, and scale downstream bioinformatics and image analysis pipelines using cloud and HPC resources. This session is geared Read More...

02/27/2024 - This session will cover what are containers, and why and how to use them in your Bioinformatics workflows. We will review best practices, basic commands, and useful resources. This session is geared towards beginners.& 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...

https://www.bioinformatics.babraham.ac.uk/projects/fastqc/good_sequence_short_fastqc.html GOOD BAD

There are no prerequisites to take this course. This course is open to NCI-CCR researchers interested in learning bioinformatics skills, especially those relevant to analyzing bulk RNA sequencing data.

Notes: PANTHER DAVID Qiagen IPA - more detailed R Bioconductor clusterProfiler GSVA goseq GOexpress (for GO annotation) pathview EGSEA seqGSEA CRAN GANPA GOxploreR geneset GSEA, GSVA, ORA https://www.rna-seqblog.com/blitzgsea-efficient-computation-of-gene-set-enrichment-analysis-in-python/ https://github.com/ Read More...

Instructors: Co-Instructors: To participate in these courses, you need a computer, reliable internet connection and a web browser. All classes and help sessions will be held online. This class will be taught with the GOLD Read More...

Unix is an operating system We use a unix shell (typically bash) to run many bioinformatics programs We need to learn unix to use non-GUI based tools and Biowulf

Ultimately we want you to be able to get started analyzing data on your own without having to use the GOLD teaching environment. Most bioinformatics software will work with unix based systems (MacOS or Linux). Read More...

If you are using a Windows operating system, Windows 10 or greater, you can use the Windows Subsystem for Linux (WSL) for your computational needs. The Windows Subsystem for Linux (WSL) is a feature of the Read More...

As a reminder, when you registered for the course, you also gained a 6 month subscription to the Biostar Handbook Collection . This is a fantastic resource covering a range of bioinformatics topics, not just RNA-Seq. At Read More...

BTEP seeks to inform and empower researchers, so that you can ultimately tackle some data analyses on your own. We offer a number of resources to accomplish this goal. Take a look at our resources Read More...

Course One – Why learn Bioinformatics? And Beginner Unix. Course Two- Working with NGS data, bulk RNA-Seq example Course Three – Visualizing RNA-Seq data, pathway analysis, and intro to Biowulf and Globus

Does not use a Graphical User Interface (GUI) better known as a "point and click" environment. The user has to learn a series of commands for interacting with a Unix system BUT...a Read More...

Does not use a Graphical User Interface (GUI) better known as a "point and click" environment. The user has to learn a series of commands for interacting with a Unix system BUT...a Read More...

Lessons 3 and 5 will focus on Biowulf and will require VPN access and the ability to connect remotely via a terminal on your local computer. In addition, we want you to be able to get started Read More...

Introduction to R January 23rd (M,W 1-2 pm) Unix and Biowulf January 24th (T,Th 1-2pm) Introduction to Bioinformatics Resources January 12th (Th 1-2 pm)

BioJupies - Many analysis functions - generates Jupyter Notebook of results
 (https://amp.pharm.mssm.edu/biojupies/) IDEP92 - an integrated web application for differential expression and pathway analysis of RNA- Seq data 
 *(http://bioinformatics. Read More...

Module 3: Pathway Analysis Lesson #: Intro to Gene ontology and pathway analysis Discuss what this is Where can we find descriptors geneontology.org organism specific databases What is KEGG? Lesson #: More on ORA, GSEA, GSVA pros Read More...

A scripting language that can be used for manipulating data and generating reports. Awk is a utility that enables a programmer to write tiny but effective programs in the form of statements that define text Read More...

Bioinformatics for Beginners: RNA-Seq Course Description: This course was designed to teach the basic skills needed for bioinformatics, including working on the Unix command line. This course primarily focuses on RNA-Seq analysis. All steps of Read More...

Analyzing next generation sequencing data requires a large number of computational steps. As you work, you should ALWAYS keep a record of what you are doing. Just as you keep a laboratory notebook, you should Read More...

Biowulf is the high performance computing cluster at NIH. When you apply for a Biowulf account you will be issued two primary storage spaces: 1) /home/$User and 2) /data/$USER , with 16 GB and 100 GB of default Read More...

Syllabus for “Bioinformatics for Beginners" Instructors: Co-Instructors: To participate in these courses, you need a computer, reliable internet connection and a web browser. All classes and help sessions will be held online. This class Read More...

To use various tools for functional analysis, you will need a list of annotated genes. Gene annotations come in a variety of flavors and not all flavors are compatible with every tool. For example, Gene Read More...

A typical RNASEQ experiment involves several steps, only one of which falls within the realm of bioinformatics. Namely the Data Analysis step. Experimental Design What question am I asking How should I do it (does Read More...

Functional enrichment and comparison with R . ClusterProfiler, pathview, and good introductory information Article on the impact of the evolving GO Ten Years of Pathway Analysis: Current Approaches and Outstanding Challenges, PLOS Computation Biology, 2012 Pathway enrichment Read More...

GO terms provide information about a gene product GO terms as a vocabulary are species agnostic, but there are species constraints ontology and annotations are updated regularly computer readable - suitable for bioinformatics GO integrates Read More...

The Biostar handbook has included bioinformatics software in a conda environment named bioinfo . If you followed Biostar Handbook instructions and created a bioinfo environment on your local computer, you will need to activate the environment Read More...

Biowulf is the NIH high performance computing cluster. It is a linux computing cluster with greater than 105,000 processors. The NIH HPC systems also house "hundreds of scientific programs, packages and databases" ( https://hpc. Read More...

Biowulf is the NIH high performance computing cluster. It is a linux computing cluster with greater than 105,000 processors. The NIH HPC systems also house "hundreds of scientific programs, packages and databases" ( https://hpc. Read More...

RSeQC package provides a number of useful modules that can comprehensively evaluate high throughput sequence data especially RNA-seq data. “Basic modules” quickly inspect sequence quality, nucleotide composition bias, PCR bias and GC bias, while “RNA-seq Read More...

This page uses information directly from the Biostar Handbook by Istvan Albert (PSU). Activate the bioinformatics environment and install some software as directed. conda activate bioinfo conda update -y blast conda install -y cd-hit pip Read More...

Lesson 1: Introduction to Unix and the Shell Lesson Objectives Review the course syllabus and general structure of lessons to come. Introduce Unix and describe how it differs from other operating systems. Introduce and get set Read More...

Introduction to Qiagen Ingenuity Pathway Analysis Lesson objective In this lesson, we will continue to le arn about pathway analysis using the Qiagen Ingenuity Pathway Analysis(IPA) package. This class will be taught by Qiagen Read More...

Course Wrap-up This lesson concludes the Bioinformatics for Beginners course series. Please email us any time at ncibtep@nih.gov for help with your bioinformatics questions or concerns. Lesson Objectives Short course overview. Review BTEP Read More...

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...

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...

The Biostar Handbook works with programs installed within a conda environment named bioinfo . Conda is commonly used for bioinformatics package installations. Conda is often used for scientific software installation because... Installing software is hard. Installing Read More...

This page uses content directly from the Biostar Handbook by Istvan Albert. Learn: FASTQC for assaying quality of sequence reads MultiQC for combining multiple FASTQC reports into one report Trimmomatic for removing sequence data based Read More...

This page uses content directly from the Biostar Handbook by Istvan Albert. Learn: FASTQC for assaying quality of sequence reads MultiQC for combining multiple FASTQC reports into one report Trimmomatic for removing sequence data based Read More...

Alignment RNASeq Mapping Challenges The majority of mRNA derived from eukaryotes is the result of splicing together discontinuous exons, and this creates specific challenges for the alignment of RNASEQ data. Mapping Challenges Reads not perfect Read More...

The Biostar Handbook works with programs installed within a conda environment named bioinfo . Conda is commonly used for bioinformatics package installations. Conda is often used for scientific software installation because... Installing software is hard. Installing Read More...

We previously stored FASTQC results for the HBR and UHR raw sequencing data in the ~/biostar_class/hbr_uhr/QC directory (recall that ~ denotes home directory). So before getting started, change into this folder. cd ~/ Read More...

Module 1 Week 1 Introductions and File systems L1 Why bioinformatics? L2 Intro to statistics? Lesson 1 Intro to Course, learning objectives Intro to Unix operating system What is a shell (how to proceed Windows vs Mac) What Read More...

Module 1 Week 1 Introductions and File systems L1 Why bioinformatics? L2 Intro to statistics? Lesson 1 Intro to Course, learning objectives Intro to Unix operating system What is a shell (how to proceed Windows vs Mac) What Read More...

This page uses content directly from the Biostars Handbook by Istvan Albert. Always remember to activate the bioinformatics environment. conda activate bioinfo How to align more than two sequences? Let's download the Ebola genomes. Read More...

Lesson 1: Introduction to Unix and the Shell Lesson Objectives Course overview. Introduce Unix and describe how it differs from other operating systems. Introduce and get set up on DNAnexus and the GOLD system. Discuss ways Read More...

This page contains content taken directly from the Biostars Handbook by Istvan Albert. Remember to activate the bioinformatics environment. conda activate bioinfo Install the statistical packages we will need for the analysis, curl http://data. 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...

Data Analysis Here are a pair of examples of RNASEQ complete workflows RNASEQ Pipeline from NCI CCBR https://github.com/CCBR/Pipeliner/blob/master/RNASeqDocumentation.pdf RNASEQ Nextflow Pipeline from nf-core https://nf-co.re/rnaseq Read More...

This page contains content directly from the Biostar Handbook by Istvan Albert. Always remember to activate your bioinformatics environment. conda activate bioinfo What is a sequence pattern? A sequence pattern is a sequence of bases Read More...

Resources Tertiary Analysis - Biological Meaning Pathway Analysis IPA (Qiagen - CCR License) Future talk Functional Analysis Gene Set Enrichment Analysis (GSEA) https://www.gsea-msigdb.org/gsea/index.jsp DAVID https://david.ncifcrf.gov/ Enrichr Read More...

This page contains content directly from The Biostar Handbook . Always remember to start the bioinformatics environment. conda activate bioinfo Pseudoalignment-based methods identify locations in the genome using patterns rather than via alignment type algorithms. It Read More...

This page contains content directly from The Biostar Handbook . Always remember to start the bioinformatics environment. conda activate bioinfo Pseudoalignment-based methods identify locations in the genome using patterns rather than via alignment type algorithms. It Read More...

“Gene set enrichment analysis” refers to the process of discovering the common characteristics potentially present in a list of genes. When these characteristics are GO terms, the process is called “functional enrichment.” Warning Overall GO Read More...

This page uses material directly from the Biostar Handbook by Istvan Albert. Always remember to activate the bioinformatics environment. conda activate bioinfo To align sequences to a genome, we need (1) genome sequence and the (2) sequence 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...

Bioinformatics for beginners Module 2: Introduction to RNA sequencing In this module, we will use the Human Brain Reference and Universal Human Reference RNA sequencing datasets to learn about RNA sequencing. Each lesson will be followed Read More...

The test data consists of two commercially available RNA samples: Universal Human Reference (UHR) and Human Brain Reference (HBR) . The UHR is total RNA isolated from a diverse set of 10 cancer cell lines. The HBR Read More...

This page uses content directly from the Biostar Handbook by Istvan Albert. Always remember to start the bioinformatics environment when working on Biostar class material. conda activate bioinfo Let's start by creating a directory Read More...

This page contains content taken directly from the Biostar Handbook by Istvan Albert. Activate the bioinformatics environment. conda activate bioinfo First let's make a place to store today's work. In your biostar_class 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...

In lesson 9, we learned that reference genomes came in the form of FASTA files, which essentially store nucleotide sequences. In this lesson, we will learn about the FASTQ file, which is the file format that Read More...

This page uses content directly from the Biostar Handbook by Istvan Albert. Remember to activate the bioinformatics environment. conda activate bioinfo The jellyfish program is dependent on a program called "gcc" which is 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...

Our Mission The Office of Science and Technology Resources (OSTR) catalyzes the advancement of cancer research through making innovative technologies and scientific resources accessible to scientists at the Center for Cancer Research (CCR). OSTR develops Read More...

The Advanced Biomedical Computational Sciences (ABCS) group provides technology development, scientific consultation, collaboration and training, research, software development, and high-performance computing support. ABCS encompasses specialized groups focusing on machine learning applied to the interpretation of 2 Read More...

The centrally funded Statistics team within the Advanced Biomedical Computational Science group at the Frederick National Lab provides statistical consultation and data analysis support for NCI laboratories. We have broad-range expertise in biomedically relevant areas Read More...

Cores & Facilities From centralized laboratories to collaborative resources and technologies available to CCR Investigators. NCI Cores Centralized laboratories providing broad access to cutting-edge technologies and specialized expertise. Browse NCI Cores Collaborative Resources are technologies and Read More...

OSTR provides CCR investigators with access to a variety of software licenses for genomic, proteomic, pathway analysis and data visualization tools. These software are funded by OSTR and made available at no cost to CCR 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...

CCR Office of Science and Technology Resources (OSTR) The Center for Cancer Research (CCR) Office of Science and Technology Resources (OSTR) explores and evaluates the latest technologic advancements and then makes them available to all 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...

No summary available.

No summary available.

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...

Our operational objectives are to provide state-of-the-art OMICS technologies in support of the Genetics Branch (GB) investigators and collaborators. Research Services Wet Lab Single cell isolation from fresh, frozen, and FFPE tissue, DNA/RNA extractions 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...

The Cancer and Inflammation Program – Microbiome and Genetics Core (CIP-MGC) grew out of the former CIP Genetics Core to meet the increasing need for sequencing and analysis of commensal microbiota within CIP and NCI. The Read More...

The Office of Collaborative Biostatistics, Office of the Clinical Director, is the statistical and data management component of CCR. The Section provides statistical leadership and data management consultation for CCR’s major clinical activities and 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 Science and Technology Research Infrastructure for Discovery, Experimentation, and Sustainability (STRIDES) Initiative The STRIDES Initiative aims to help NIH and its institutes, centers, and offices (ICOs) accelerate biomedical research by reducing barriers in utilizing 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...

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...

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 rapid advancement of single-cell technology has provided new powerful tools to answer many biological questions, such as identifying new or rare cell populations and characterizing the complexities of tumor heterogeneity. Realizing the great potential Read More...

CREx News & Updates April 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Click below to learn how easy it is to navigate the CREx platform. These short videos will Read More...

CREx News & Updates September 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 CCR Read More...

CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New NIH Resource Spotlight The NIH Lab Managers Working Group have developed a new NIH-wide database of cold Read More...

The NIH Library is a biomedical research library, whose collection and services are available at no cost to NIH staff: Electronic Resources: Over 20,000 electronic journals, 190,000 eBooks, and 50 databases. , Training classes covering topics such as bioinformatics, 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...

September 8, 2022 crex.nih.gov CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Science & Technology Seminars and Training Events Upcoming Seminars and Educational Opportunities The following Read More...

October 6, 2022 crex.nih.gov CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Science & Technology Seminars and Training Events Upcoming Seminars and Educational Opportunities The following Read More...

CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Research Festival The NIH Research Festival highlights the groundbreaking science and the vibrant NIH community driving our Read More...

The Staff Scientists/Clinicians (SSSC) Technical Enrichment Program (STEP) was established to provide SSSC’s an opportunity to compete for funding to gain comprehensive training in state-of-the-art techniques available through CCR Cores and Facilities. The Read More...

The Pan-Microbial Serology Facility (PMSF) is part of the Center for Cancer Research (CCR) at the National Cancer Institute (NCI). The PMSF focuses on determining individualized pan-microbial immune profiles associated with human diseases including immunological Read More...

CREx News & Updates June 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Click below to learn how easy it is to navigate the CREx platform. These short videos will Read More...

CREx News & Updates March 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Site Spotlight NIA Nonhuman Primate Core The NIA Nonhuman Primate Core supports multi-disciplinary translational aging projects for Read More...

CREx News & Updates August 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Site Spotlight NCATS Functional Genomics Laboratory (FGL) FGL is designed to help NIH Investigators use the latest Read More...

CREx News & Updates July 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Click below to learn how easy it is to navigate the CREx platform. These short videos will Read More...

CREx News & Updates May 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Click below to learn how easy it is to navigate the CREx platform. These short videos will 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...

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...

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...

No summary available.

No summary available.