MPBind 2.1 – Predict SELEX-derived Binding Aptamers

MPBind 2.1

:: DESCRIPTION

MPBind is a meta-motif based statistical framework and pipeline to predict SELEX derived binding aptamers. Briefly, MPBind calculates four kinds of p-values (1-sided) for each motif, representing different features.

::DEVELOPER

MPBind team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Python

:: DOWNLOAD

 MPBind

:: MORE INFORMATION

Citation

Bioinformatics. 2014 May 28. pii: btu348. [Epub ahead of print]
MPBind: A Meta-Motif Based Statistical Framework and Pipeline to Predict Binding Potential of SELEX-derived Aptamers.
Jiang P1, Hou Z1, Propson NE1, Soh HT2, Thomson JA3, Stewart R4.

BEESEM – Binding Energy Estimation on SELEX with Expectation Maximization

BEESEM

:: DESCRIPTION

The BEESEM program is designed for transcription factor binding motif discovery using HT-SELEX data.

::DEVELOPER

Stormo Lab in Department of Genetics, Washington University

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Python

:: DOWNLOAD

BEESEM

:: MORE INFORMATION

Citation

Bioinformatics. 2017 Aug 1;33(15):2288-2295. doi: 10.1093/bioinformatics/btx191.
BEESEM: estimation of binding energy models using HT-SELEX data.
Ruan S, Swamidass SJ, Stormo GD