The HTPSELEX database contains sets of invitro selected transcription factor binding site sequences obtained with SELEX and high-throughput SELEX method. The database hosts 12 individual Selex libraries for the transcription factors CTF/NF1 and LEF/TCF families totaling more than 40,000 sites. In addition we also have manually curated SELEX datasets from the literature for 25 different transcription factors. ... [More details].


Access to HTPSELEX Database

in HTPSELEX DB by SELEX cycle number or documentation text

Documents

References
PMID:16381982
HTPSELEX--a database of high-throughput SELEX libraries for transcription factor binding sites.
Jagannathan V, Roulet E, Delorenzi M, Bucher P.
Nucleic Acids Res. 2006 Jan 1;34(Database issue):D90-4.
PMID:12101405
High-throughput SELEX SAGE method for quantitative modeling of transcription-factor binding sites.
Roulet E, Busso S, Camargo AA, Simpson AJ, Mermod N, Bucher P.
Nat Biotechnol. 2002 Aug;20(8):831-5.

Acknowledgements

We thank Victor Jongeneel for support and suggestions, Roman Chrast and Stylianos Antonarakis for help with the SAGE procedure, Khalil Kadaoui for assistance.The financial support of the Ludwig Institute for Cancer Research, the Etat de Vaud, and the Swiss National Science Foundation (grants 31-63933.00 and 31-59370.99) are gratefully acknowledged.

Access to other databases and tools on the SIB-Lausanne server Access to external databases and tools
  • CleanEx A database which provides access to public gene expression data via unique approved gene symbols.
  • EPD Eukarytic Promoter database
  • SSA The Signal Search Analysis Server
  • myHITS A database and web tools devoted to protein domains
  • JASPARThe high-quality transcription factor binding profile database
  • SELEX_DB a database on selected randomized DNA/RNA sequences
  • TRANSFAC The Transcription Factor Database
  • Promolign Promolign provides graphical presentation for SNPs and transcription factor binding sites in the promoter region of genes
    in the context of human-mouse orthologous sequence alignment.

Last update 03 Oct. 2010