From Motifs to Pathways and Master-regulators (RNA-Seq + ChIP-Seq) using Genome Enhancer - PART 1
In this comprehensive video, I delve into the intricate realm of multi-omics data to identify master-regulators using geneXplain's automated pipeline, Genome Enhancer. With its user-friendly point-and-click interface, GenomeEnhancer stands out as the premier tool for uncovering transcription factor binding sites (TFBS), master regulators, potential drug targets, and the corresponding treatments. In this video, I'll navigate the fully automated pipeline that reconstructs the molecular mechanism of the studied pathology, providing comprehensive insights like never before.
This video is in collaboration with geneXplain GmbH ( / @genexplain ) which is one of the worldwide known providers of top bioinformatics, systems biology and cheminformatics databases, software and services.
I hope you find this video helpful! Leave your thoughts in the comment section below!
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▸ PART 2 of this video:
• From Motifs to Pathways and Master-re...
▸ Other videos in this series:
1. • Introduction to Motif Discovery and T...
2. • Motif discovery and enrichment in gen...
▸ Data used for demonstration:
Epigenomics: https://www.ncbi.nlm.nih.gov/geo/quer...
Transcriptomics: https://www.ncbi.nlm.nih.gov/geo/quer...
▸ geneXplain's Genome Enhancer playlist:
• Genome Enhancer
▸ Description of databases:
https://genexplain-platform-documenta...
▸ Contact geneXplain:
https://genexplain.com/contact/
Chapters:
0:00 Intro
1:40 What do I do after identifying transcription factors?
4:09 What are Composite Modules and Master Regulators?
6:49 What is “Upstream Analysis”?
8:25 Case Study used for the demonstration
9:32 Fetching Epigenomics and Transcriptomics data from NCBI GEO
10:17 Step 1: Upload data on geneXplain’s GenomeEnhancer pipeline
14:14 Step 2: Get data into the acceptable format
16:23 Step 3: Set up study design in the pipeline
19:18 Step 4: Set analysis parameters and run GenomeEnhancer
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To get in touch:
Website: https://bioinformagician.org/
Github: https://github.com/kpatel427
Email: [email protected]
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