Skip to content

General Bioinformatics Resources

  • NIH Bioinformatics Calendar, sponsored by the NCI CCR Bioinformatics Training and Education Program (BTEP), contains information on all bioinformatics (and some data science) trainings/ presentations/ classes offered on the NIH campus.

  • BTEP Distinguished Speakers Seminar Series

  • BTEP “Topics in Bioinformatics” Seminar Series includes variant analysis, RNA-Seq, single cell, microbiome analysis, ChIP-Seq and more. See the NIH Bioinformatics Calendar for upcoming events. Check out the BTEP Video archive to view recordings of past sessions.

  • NIH Library Bioinformatics Support Program is open to anyone at NIH and includes 2 Workstations with Bioinformatics Data Analysis Software (Partek Flow and Partek Genomics Suite, Qiagen Ingenuity Pathway Analysis and CLC Genomics Workbench, and much more). See entire list of resources here.

  • Coursera NIH Learning Program - licenses provided by the NLM Office of Data Science Initiatives are available to anyone at NIH; apply here.

  • NIAID Collective Bioinformatics Resource (NCBR)

  • Bioinformatics workflows on Biowulf

    • CCBR Pipeliner – bulk and single cell RNA-Seq and ChIP-Seq analysis workflows on NIH HPC Biowulf from the CCR Collaborative Bioinformatics Resource

    • OpenOmics/genome-seek: Clinical Whole Genome Sequencing Pipeline

  • NIH Cloud Resources

    • STRIDES initiative as part of the NIH Strategic Plan for Data Science

    • Cancer Research Data Commons is a cloud-based infrastructure for analysis of cancer research data that includes databases and large collection of analysis tools and workflows

    • NIDAP (NIH Integrated Data Analysis Portal) bulk and single cell RNA-Seq workflows; login with your NIH credentials here.

Resources for the general public

BTEP Resources

  • BTEP FAQs on Single Cell RNA-Seq and ChIP-Seq are open to the world.
  • The BTEP resources pages, which include links to BTEP course documentation.

Publicly available resources

While by no means comprehensive, we are including several links to publicly available resources useful for learning bioinformatics or relevant skills: