introduction to chip-seq using high-performance computing ... · describe best practices for...
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Introduction to ChIP-seq using High-Performance Computing (HPC)
Harvard Chan Bioinformatics Core in collaboration with
HMS Research Computing
https://tinyurl.com/hbc-chipseq-schedule
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Mary Piper
John Hutchinson Brad Chapman
Peter KraftRory Kirchner
Meeta Mistry Radhika Khetani
Shannan Ho Sui
Victor Barrera
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Consulting
• RNA-seq, small RNA-seq and ChIP-seq analysis
• Genome-wide methylation
• WGS, resequencing, exome-seq and CNV studies
• Quality assurance and analysis of gene expression arrays
• Functional enrichment analysis
• Grant support
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NIEHS / CFAR Bioinformatics
Core
Center for Stem Cell
Bioinformatics
Harvard Catalyst
Bioinformatics Consulting
HMS Tools &
Technology
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Training
• Short workshops on introductory, intermediate and
advanced topics related to NGS data analysis
• Monthly, 2-3 hour, hands-on and free workshops
on “Current Topics in Bioinformatics”
• In-depth courses (8- or 12-day formats)
http://bioinformatics.sph.harvard.edu/training/
https://hbctraining.github.io/main/
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NIEHS / CFAR Bioinformatics
Core
Center for Stem Cell
Bioinformatics
Harvard Catalyst
Bioinformatics Consulting
HMS Tools &
Technology
![Page 7: Introduction to ChIP-seq using High-Performance Computing ... · Describe best practices for designing an ChIP-seq experiment Describe steps in a typical ChIP-seq analysis workflow](https://reader034.vdocuments.site/reader034/viewer/2022050509/5f99ccdf612ee60b413e906e/html5/thumbnails/7.jpg)
Workshop scope
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Setting up to perform Bioinformatics analysis
http://anoved.net/tag/lego/page/3/
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Standards✓ Introduction to the UNIX shell
• Dealing with large data files
• Using bioinformatics tools
• Accessing and using compute clusters
✓ R• Parsing and working with smaller results text files
• Statistical analysis, e.g. differential expression analysis
• Generating figures from complex data
Base components
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Bioinformatics data analysis
http://anoved.net/tag/lego/page/3/
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Learning objectives
Learning Objectives
✓ Describe best practices for designing an ChIP-seq experiment
✓ Describe steps in a typical ChIP-seq analysis workflow
✓ Use HMS-RC’s O2 compute cluster to efficiently run the ChIP-seq workflow from sequence reads to peak calls, including QC and visualization.
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Logistics
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https://tinyurl.com/hbc-chipseq-schedule
Course schedule
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Course materials online
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The 2 Window problem…
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Odds and Ends
✤ Name tags: Tent Cards ✤ Post-its ✤ Wi-Fi: HMS Public ✤ Lunch locations ✤ Bathrooms ✤ Water Fountain ✤ Phones on vibrate/silent!
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• Shannan Ho Sui (HBC)• Andy Bergman (HMS-RC) • Kathleen Keating (HMS-RC) • Data Carpentry
Thanks!
These materials have been developed by members of the teaching team at the Harvard Chan Bioinformatics Core (HBC). These are open access materials distributed under the terms of the Creative Commons Attribution license (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Contact us!
HBC training team: [email protected]
HBC consulting: [email protected]
O2 (HMS-RC): [email protected]
HBC: @bioinfocore HMS-RC: @hms_rc