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 by providing instruction and training in bioinformatics methods, tools, databases, and emerging technologies and by making the NCI community aware of related trainings and events across the NIH campus. We also regularly bring in guests to discuss research of interest to the NCI community. See our Distinguished Speaker Series and other seminar series.
BTEP keeps an archive of recordings and documentations for previous classes and seminars. The recordings can be found at https://bioinformatics.ccr.cancer.gov/btep/btep-video-archive-of-past-classes/. Documentations can be found at https://bioinformatics.ccr.cancer.gov/btep/class-documents/.
Our training offerings evolve with the field so that you have the information and training you need to conduct your research.
Training topics include but are not limited to the following:
- Bioinformatics for Beginners (Unix, bulk RNA-Seq)
- Cancer Biology Resources (Cancer Research Data Commons, Cancer Genomics Cloud, cBioPortal, CiVIC)
- Data Organization, Management, and Sharing
- Emerging Technologies
- Machine Learning/ AI
- NIH Computational Resources
- Introduction to Unix on Biowulf
- Capabilities of the NIDAP platform for Transcriptomic Analysis
Slides: https://bioinformatics.ccr.cancer.gov/btep/wp-content/uploads/sites/2/NIDAP_Overview_20231214.pdf
Recording: https://cbiit.webex.com/cbiit/ldr.php?RCID=14ad1204eaf2612ee650e4d6fdf8bc53
- Toward Reproducibility with R on Biowulf
- Office of Science and Technology Resources provided Software (NCI/CCR)
- Analyzing your data WITHOUT coding experience: CCR Bioinformatics Licensed Software
Slides: https://bioinformatics.ccr.cancer.gov/docs/analyzing-data-without-coding-event/
Recording:
- Analyzing your data WITHOUT coding experience: CCR Bioinformatics Licensed Software
- Programming
- Statistics
- Topics in Bioinformatics (microbiome, ATAC-Seq, ChIP-Seq, single cell genomics, Variant Calling, etc.)
- BTEP Getting Started with scRNA-Seq Seminar Series
- Introduction to Pathway Analysis using the Reactome Pathway Knowledgebase
- Streamlining microbial shotgun analysis with JAMS
- Variant Analysis: Experimental Design, Best Practices, and Workflows
- Microbiome Analysis with QIIME 2
- Toward Fully Reproducible Microbiome Multi-omics Bioinformatics with QIIME 2
Check out the NCI Bioinformatics Calendar for upcoming trainings and see our Video Archive for recordings of past events.
General questions or comments about the BTEP program or classes should be addressed to: NCIBTEP@nih.gov.
Meet the BTEP Team
The BTEP Team is composed of 6 members.
Accomplished Bioinformaticist and Computer Specialist with more than 30 years experience supporting and collaborating with NIH scientists. Highly qualified in the analysis of Next Generation Sequence data, development of novel analytical software including web-based applications, and the management of High Performance computer architectures. Extensive experience in educating and training small (10s) to large (100s) groups of researchers in the appropriate application of computational tools and techniques. Has developed and delivered many seminars, classes and workshops. Numerous collaborative
I have a broad research background in bioinformatics and genomics. My specific research training has involved computational approaches to understand gene regulation, chromatin structure, protein-DNA interactions, epigenetics, and genome evolution. Currently, I am a Staff Scientist at the Center for Cancer Research Genomics Core at the National Cancer Institute. In this role, I am responsible for the implementation and maintenance of the data delivery and archiving pipelines for the Core’s Next Generation Sequencing (NGS) instruments, and providing bioinformatics support to CCR researchers, ranging from experimental design consultations to downstream analyses of NGS data.
Bioinformatician with strong background in biological data analysis, software engineering and molecular biology techniques at the wet bench. Since 2005, my work has focused on software and workflow development using high-performance computing clusters, computer architecture and advanced programming techniques for data analysis, data management, quality control and visualization of biological data.
I am an experienced molecular biology and bioinformatics researcher and educator who has worked with students at all levels of experience, from first-year college to advanced trainees and senior investigators. Here at NCI, I help to train scientists on bioinformatics tools for the analysis of next-generation sequencing (NGS) data in cancer. This includes RNA-Seq technologies, single cell, variant analysis, gene ontology and pathways.
I am a formally trained biological and molecular anthropologist, with past research interests in diverse topics related to microbial ecology, degraded DNA, taphonomy, and skeletal biology. Throughout my research career in academia, I developed a passion for data science, bioinformatics, and teaching. Here at NCI, I train researchers to analyze their own high throughput data using a variety of bioinformatics tools, skills, platforms, and languages.
I am one of the trainers with BTEP and enjoy helping others acquire bioinformatics and data science skills. I can answer your questions related to R, Python, Unix, or commercial bioinformatics software.
How can I receive help from BTEP?
The BTEP Team is here to help answer your bioinformatics related questions and provide support and training as needed. Email us anytime at ncibtep@nih.gov to ask a question or request training.