BIDCHIPS – Bias-Decomposition of ChIP-seq Signals

BIDCHIPS

:: DESCRIPTION

BIDCHIPS is a software for quantifying and Removing Biases in ChIP-Seq Signals

::DEVELOPER

Perkins Lab at the OHRI

:: SCREENSHOTS

N/A

::REQUIREMENTS

  • Linux / MacOsX /Windows
  •  MatLab / R

:: DOWNLOAD

  BIDCHIPS

:: MORE INFORMATION

Citation

BIDCHIPS: bias decomposition and removal from ChIP-seq data clarifies true binding signal and its functional correlates.
Ramachandran P, Palidwor GA, Perkins TJ.
Epigenetics Chromatin. 2015 Sep 17;8:33. doi: 10.1186/s13072-015-0028-2.

ADDA version 4 – Automatic Domain Decomposition Algorithm

ADDA version 4

:: DESCRIPTION

ADDA is an automatic algorithm for domain decomposition and clustering of all protein domain families. the authors use alignments derived from an all-on-all sequence comparison to define domains within protein sequences based on a global maximum likelihood model.

::DEVELOPER

The Institute of Biotechnology (BI) at the University of Helsinki

:: SCREENSHOTS

N/A

::REQUIREMENTS

  • Linux
  • MySQL

:: DOWNLOAD

 ADDA

:: MORE INFORMATION

Citation

Heger A, Holm L (2003)
Exhaustive enumeration of protein families.
J Mol Biol 328(3):749-67.

Igloo-Plot / Web-igloo – Interactively Visualizing multivariate data without Feature Decomposition

Igloo-Plot / Web-igloo

:: DESCRIPTION

Igloo-Plot is a tool for efficient visualization of multidimensional datasets.

Web-Igloo visualizes multivariate data in a 2D chart of multiple quantitative variables represented as anchors on a semicircle.

::DEVELOPER

Web-igloo team

:: SCREENSHOTS

:: REQUIREMENTS

  • WIndows / Linux

:: DOWNLOAD

Igloo-Plot

:: MORE INFORMATION

Citation

Kuntal BK, Ghosh TS, Mande SS.
Igloo-Plot: a tool for visualization of multidimensional datasets.
Genomics. 2014 Jan;103(1):11-20. doi: 10.1016/j.ygeno.2014.01.004. Epub 2014 Jan 17. PMID: 24444495.

Kuntal BK, Mande SS.
Web-igloo: a web based platform for multivariate data visualization.
Bioinformatics. 2017 Feb 15;33(4):615-617. doi: 10.1093/bioinformatics/btw669. PMID: 27797774.

Autoosc 0.1 – Automated Analysis of Biological Oscillator Models using Mode Decomposition

Autoosc 0.1

:: DESCRIPTION

Autoosc is a Mathematica package for analyzing time-series of oscillatory signals, particularly those originating from biological/chemical systems.

::DEVELOPER

Service de Biomodélisation, Bioinformatique et Bioprocédés (3BIO)

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows/ MacOsX
  • Mathematica

:: DOWNLOAD

  Autoosc

:: MORE INFORMATION

Citation

Automated analysis of biological oscillator models using mode decomposition.
Konopka T.
Bioinformatics. 2011 Apr 1;27(7):961-7. doi: 10.1093/bioinformatics/btr069

Catfish v0.2.1 – Minimum Path Flow Decomposition Problem

Catfish v0.2.1

:: DESCRIPTION

Catfish implements an efficient heuristic to decompose a given flow into a set of minimum number of paths.

::DEVELOPER

Kingsford Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / MacOs

:: DOWNLOAD

Catfish

:: MORE INFORMATION

Citation

Theory and A Heuristic for the Minimum Path Flow Decomposition Problem.
Shao M, Kingsford C.
IEEE/ACM Trans Comput Biol Bioinform. 2019 Mar-Apr;16(2):658-670. doi: 10.1109/TCBB.2017.2779509

Spresso 1.0.3 – Pre-screening Method Based on Compound Decomposition

Spresso 1.0.3

:: DESCRIPTION

Spresso (Speedy PRE-Screening method with Segmented cOmpounds) is a novel structure-based virtual screening method based on compound decomposition.

::DEVELOPER

Akiyama Laboratory, Tokyo Institute of Technology

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux /
  • Python
:: DOWNLOAD

Spresso

:: MORE INFORMATION

Citation

Bioinformatics. 2017 Dec 1;33(23):3836-3843. doi: 10.1093/bioinformatics/btx178.
Spresso: an ultrafast compound pre-screening method based on compound decomposition.
Yanagisawa K, Komine S, Suzuki SD, Ohue M, Ishida T, Akiyama Y.

SVDMAN 0.9b – Singular Value Decomposition Microarray ANalysis

SVDMAN 0.9b

:: DESCRIPTION

SVDMAN is a program for singular value decomposition analysis of global gene expression data. It is designed to operate both as a stand-alone command line executable and as a component of larger systems for gene expression analysis.

::DEVELOPER

Michael Wall

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows/Linux
  • C Compiler

:: DOWNLOAD

 SVDMAN

:: MORE INFORMATION

Citation

ME Wall, PA Dyck, TS Brettin.
SVDMAN — Singular value decomposition analysis of microarray data. 2001.
Bioinformatics 17:566-568.