MOCCS 2.0 – Motif Centrality Analysis of ChIP-Seq

MOCCS 2.0

:: DESCRIPTION

MOCCS is a method for for clarifying DNA-binding motif ambiguity.

::DEVELOPER

Haruka Ozaki, Ph.D.

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux / MacOsX
  • R
  • Perl

:: DOWNLOAD

 MOCCS

:: MORE INFORMATION

Citation

MOCCS: Clarifying DNA-binding motif ambiguity using ChIP-Seq data.
Ozaki H, Iwasaki W.
Comput Biol Chem. 2016 Feb 13. pii: S1476-9271(16)30030-5. doi: 10.1016/j.compbiolchem.2016.01.014.

MUSIC – MUltiScale enrIchment Calling for ChIP-Seq Datasets

MUSIC

:: DESCRIPTION

MUSIC is an algorithm for identification of enriched regions at multiple scales in the read depth signals from ChIP-Seq experiments.

::DEVELOPER

Gerstein Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

MUSIC

:: MORE INFORMATION

Citation:

Genome Biol. 2014;15(10):474.
MUSIC: identification of enriched regions in ChIP-Seq experiments using a mappability-corrected multiscale signal processing framework.
Harmanci A1, Rozowsky J, Gerstein M.

ChiLin 2.1 – ChIP-seq Data quality and Analysis Pipeline

ChiLin 2.1

:: DESCRIPTION

ChiLin provides a more flexible handle for understanding the ChIP-seq analysis workflow.

::DEVELOPER

X. Shirley Liu Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Python

:: DOWNLOAD

 ChiLin

:: MORE INFORMATION

Citation

BMC Bioinformatics. 2016 Oct 3;17(1):404.
ChiLin: a comprehensive ChIP-seq and DNase-seq quality control and analysis pipeline.
Qin Q, et al.

scHMM 1.1.0 – Sparsely correlated hidden Markov model for ChIP-seq data Analysis

scHMM 1.1.0

:: DESCRIPTION

scHMM (correlated hidden Markov models) is a package for analyzing sequence read count data in multiple ChIPseq experiments using sparsely correlated hidden Markov models (HMM).

::DEVELOPER

scHMM team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/MacOsX/ WIndows
  • C Compiler

:: DOWNLOAD

 scHMM

:: MORE INFORMATION

Citation:

Bioinformatics. 2013 Mar 1;29(5):533-41. doi: 10.1093/bioinformatics/btt012. Epub 2013 Jan 16.
Sparsely correlated hidden Markov models with application to genome-wide location studies.
Choi H1, Fermin D, Nesvizhskii AI, Ghosh D, Qin ZS.

SeqSite 1.0.0 – ChIP-Seq Binding Site Identification

SeqSite 1.0.0

:: DESCRIPTION

SeqSite was developed for detecting transcription factor binding sites from ChIP-seq data.SeqSite is an efficient and easy-to-use software tool implementing a novel method for identifying and pinpointing transcription factor binding sites. It first detects transcription factor binding regions by clustering tags and statistical hypothesis testing, and locates every binding site in detected binding regions by modeling the tag profiles. It can pinpoint closely spaced adjacent binding sites from ChIP-seq data.

::DEVELOPER

SeqSite team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows
  • C Compiler

:: DOWNLOAD

  SeqSite

:: MORE INFORMATION

Citation

Xi Wang and Xuegong Zhang.
Pinpointing transcription factor binding sites from ChIP-seq data with SeqSite.
BMC Systems Biology, 5(Suppl 2):S3.

peakrots 1.01 – Optimized procedure for ChIP-seq Peak Detection

peakrots 1.01

:: DESCRIPTION

peakrots is a bioinformatics analysis tool for optimized ChIP-seq peak detection.

::DEVELOPER

Laura Elo  , Aleksi Kallio  at CSC — IT Center for Science Ltd

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows /MacOsX
  • R package

:: DOWNLOAD

 peakrots

:: MORE INFORMATION

Citation

Methods Mol Biol. 2013;1038:181-91. doi: 10.1007/978-1-62703-514-9_11.
Optimizing Detection of Transcription Factor-Binding Sites in ChIP-seq Experiments.
Kallio A, Elo LL.

ChIPmeta 091009 – HHMM Analysis of ChIP-seq and ChIP-chip Data

ChIPmeta 091009

:: DESCRIPTION

ChIPmeta is a software for the joint analysis of ChIP-seq and ChIP-chip data. Individual channel-level analysis and joint analysis are performed using hidden Markov models.

::DEVELOPER

Hyungwon Choi

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / MacOsX
  • C Compiler

:: DOWNLOAD

  ChIPmeta

:: MORE INFORMATION

Citation:

H. Choi, A.I. Nesvizhskii, D. Ghosh, and Z.S. Qin (2009),
Hierarchical HMM with Application to Joint Analysis of ChIP-seq and ChIP-chip Data.
Bioinformatics, 25, 1715-21.

ChIPDiff – Genome-wide Comparison of Histone Modification Sites Identified by ChIP-seq

ChIPDiff

:: DESCRIPTION

ChIPDiff provides a solution for the identification of Differential Histone Modification Sites (DHMSs) by comparing two ChIP-seq libraries (L1 and L2). An HMM is employed in ChIPDiff to infer the states of histone modification changes

:: DEVELOPER

Computational & Mathematical Biology Lab @ GIS

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • C Compiler

:: DOWNLOAD

 ChIPDiff

:: MORE INFORMATION

Citation

An HMM approach to genome-wide identification of differential histone modification sites from ChIP-seq data.
Xu H, Wei CL, Lin F, Sung WK.
Bioinformatics. 2008 Oct 15;24(20):2344-9

Qeseq 0.2.2 – multipurpose ChIP-seq Analysis tool

Qeseq 0.2.2

:: DESCRIPTION

Qeseq is an algorithm to detect regions of increased ChIP read density relative to background. Qeseq employs critical novel elements, such as iterative recalibration and neighbor joining of reads to identify enriched regions of any length.

::DEVELOPER

Kluger Lab.

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows/ Linux / MacOsX

:: DOWNLOAD

 Qeseq

:: MORE INFORMATION

Citation

Mariann Micsinai et al.
Picking ChIP-seq peak detectors for analyzing chromatin modification experiments
Nucl. Acids Res. (2012) 40 (9): e70.

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