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Calling narrow and broad peaks from ChIP-Seq data


Chromatin immunoprecipitation (ChIP) followed by high throughput sequencing (ChIP-Seq) is one of the widely used approaches for elucidating interactions between DNA and proteins. It is an essential tool for researchers to understand the role of transcription factors or histone modifications in gene regulation. While for most TFs, enriched regions typically form sharp peaks covering short regions of DNA, the pattern of reads for many types of histone modifications span regions of upto several hundred kilobases. In this webinar, we will demonstrate and assess the algorithms in StrandNGS for both narrow and broad peak calling. Specifically, results from using 'MACS' algorithm for detecting the FOXA1 transcription factor binding sites and from 'Find Enriched Regions' approach for detecting histone H3K36 modification regions will be discussed.

Webinar Details

Sessions San Francisco Time
Tokyo Time
Berlin Time
Mumbai Time
Session 1 26 Aug
01:30 AM
26 Aug
05:30 PM
26 Aug
10:30 AM
26 Aug
02:00 PM
Session 2 26 Aug
09:00 AM
27 Aug
01:00 AM
26 Aug
06:00 PM
26 Aug
09:30 PM

About Speaker:

Ms Anita Sathyanarayanan, is an Associate Application Scientist - Strand NGS Team, Strand Life Sciences. Anita holds a Master's degree in Bioinformatics from ETH Zurich. At Strand, Anita is involved in projects on next generation sequencing data analysis. Her research interests include algorithms in biological systems and evolutionary theories.

Latest Updates:

We are excited to share the release of Strand NGS v2.5.1. This version comes with useful features including enhanced support for selecting candidate haplotypes in local realignment; exact breakpoint information and improved performance for SV detection from split reads; options to export targeted CNV output and SV results in VCF format. All these new features are available once you update the product by clicking on Update Product from the Help menu. For more information, please see the release notes.

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Thank You

The Strand NGS Team