SeqGL 1.1.4 – Identifies Context-dependent Binding Signals in ChIP-seq and DNase-seq profiles

SeqGL 1.1.4

:: DESCRIPTION

SeqGL is a new group lasso-based algorithm to extract multiple transcription factor (TF) binding signals from ChIP- and DNase-seq profiles.

::DEVELOPER

Leslie Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • R

:: DOWNLOAD

 SeqGL

:: MORE INFORMATION

Citation

SeqGL Identifies Context-Dependent Binding Signals in Genome-Wide Regulatory Element Maps.
Setty M, Leslie CS.
PLoS Comput Biol. 2015 May 27;11(5):e1004271. doi: 10.1371/journal.pcbi.1004271.

BinDNase – Predicting TF-DNA Interaction Sites using DNase-seq data

BinDNase

:: DESCRIPTION

BinDNase is a discriminative approach for transcription factor binding prediction using DNase I hypersensitivity data

::DEVELOPER

Computational systems biology group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows / MacOsX
  • R

:: DOWNLOAD

 BinDNase

:: MORE INFORMATION

Citation

BinDNase: A discriminatory approach for transcription factor binding prediction using DNase I hypersensitivity data.
Kähärä J, Lähdesmäki H.
Bioinformatics. 2015 May 7. pii: btv294.

pyDNase 0.2.4 – a Library for Analyzing DNase-seq data

pyDNase 0.2.4

:: DESCRIPTION

Wellington is a novel method for the accurate identification of digital genomic footprints from DNase-seq data.
pyDNase is an open-source software package which implements the Wellington algorithm to interface with DNase-seq data and expedite analyses.

::DEVELOPER

Dr Sascha Ott

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/MacOsX
  • Python

:: DOWNLOAD

 pyDNase

:: MORE INFORMATION

Citation

Nucleic Acids Res. 2013 Nov;41(21):e201. doi: 10.1093/nar/gkt850. Epub 2013 Sep 25.
Wellington: a novel method for the accurate identification of digital genomic footprints from DNase-seq data.
Piper J1, Elze MC, Cauchy P, Cockerill PN, Bonifer C, Ott S.