Version 13 (modified by alberto.labarga, 10 years ago)


Satellite meeting for Transcription regulation


Biologists need to get more detailed information about what is happening a gene level when they look at microarray data:

  • Enrichment analysis of TFBS ()
  • Transcription factor binding site SNPs ()
  • Histone binding
  • Network analysis (which genes are interesting??)
  • Expression levels
  • siRNA, miRNA that control function
  • Methylation
  • Copy number variation
  • Protein structure of TFs


  • Riu Yamashita
  • Young Joo Kim
  • Alberto Labarga
  • Yulia Kovarskaya

...and please join us and add your name!!


  • 2009/3/17 11:00-12:00
  • 2009/3/18 10:00-11:00


  • Chura hall (3F)


Transcriptional regulation Genomic variation(SNP, CNV….) using NGS Data, sequence Variation detection, Annotation

Purpose: Make a unified solution tool that biologists want in their functional, molecular studies. -Identify feasible techniques and economic solutions for them.

The questions that should be addressed.

1. Transcription binding sites, modulations

2. Histon binding sites

3. Histon modification

4. SNPs, SNP chips

5. Expression (mRNA or cDNA chips)

6. miRNA or RNAi

7. methylation (epigenetics)

8. CNV (copy number variation)

9. Protein structure

10. Protein chips

11. Tissue arrays

12. Cell-level functional studies

13. Pathway analysis

14. Next generation sequencing

15. OMIM or disease DB

16. Comparative genomics

17. Technologies unknown yet

How: Define each question in terms of biologists’ interests. Describe the limits of each question. Find the best or second best tools for each question. How to combine the questions for the sake of biologists (input and output data)

Find out the best example of these kind of approaches (ex. SRS of Lions, )

  • check  FESD II schema
  • check Yamashita-san code for TFBS analysis

Some decisions

  • Implement a DAS layer for FESD II and the TFBS prediction systems
  • Implement a web application that computes the enrichment of the TFBS for a list of genes or proteins, and present the results using DASTY


What we want to achieve is quite similar to this:

The DAS workshop 2009 is just over, and there was some cool stuff there we could use