SAGPAR – StructurAl Grammar-based automated PAthway Reconstruction

SAGPAR

:: DESCRIPTION

SAGPAR is a fast and robust algorithm that generates any metabolic pathway using some given structural representations of metabolites.

::DEVELOPER

Dr. Rajat Kumar De

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux

:: DOWNLOAD

 SAGPAR

:: MORE INFORMATION

Citation:

Interdiscip Sci. 2012 Jun;4(2):116-27. doi: 10.1007/s12539-012-0119-8. Epub 2012 Jul 29.
SAGPAR: structural grammar-based automated pathway reconstruction.
Tagore S1, De RK.

ggbio 1.40.0 – Extending the Grammar of Graphics for Genomic Data

ggbio 1.40.0

:: DESCRIPTION

The ggbio package extends and specializes the grammar of graphics for biological data. The graphics are designed to answer common scientific questions, in particular those often asked of high throughput genomics data.

:: DEVELOPER

ggbio team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Mac OsX/Windows
  • R package
  • BioConductor

:: DOWNLOAD

 ggbio

:: MORE INFORMATION

Citation

Genome Biol. 2012 Aug 31;13(8):R77.
ggbio: an R package for extending the grammar of graphics for genomic data.
Yin T, Cook D, Lawrence M.

CONUS 1.0 – Exploration of Lightweight Stochastic Context Free Grammars

CONUS 1.0

:: DESCRIPTION

CONUS is an implementation of simple stochastic context-free grammars for RNA secondary structure analysis.CONUS developed for exploring the consequences of different single sequence SCFG designs in predicting RNA secondary structure.

::DEVELOPER

Eddy lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

CONUS

:: MORE INFORMATION

Citation

Dowell, RD and Eddy, SR.
Evaluation of Several Lightweight Stochastic Context Free Grammars for RNA Secondary Structure Prediction.
BMC Bioinformatics 5:71 (2004).

WordSpy 1.5 – Identify Transcription Factor Binding Motifs by building a dictionary and learning a grammar

WordSpy 1.5

:: DESCRIPTION

WordSpy is a novel, steganalysis-based approach for genome-wide motif finding. The software views regulatory regions as a stegoscript with cis-elements embedded in ‘background’ sequences. WordSpy can discover a complete set of cis-elements and facilitate the systematic study of regulatory networks.

::DEVELOPER

Computational Intelligence Center(CIC)

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / MacOsX / Windows
  • Perl 

:: DOWNLOAD

  WordSpy

:: MORE INFORMATION

Citation:

Guandong Wang and Weixiong Zhang
A steganalysis-based approach for genome-wide identification of regulatory DNA sequence elements
Genome Biology 2006, 7:R49