Tag: families

rarefy 1.0 – Selecting Informative Individuals and Families in a Sample

rarefy 1.0

:: DESCRIPTION

Rarefy is a C++ tool to facilitate sequencing study design using family samples by selecting informative families and individuals from a sample. It takes account pedigree structure and calculates an informative score for each individual to evaluate the potential of carrying trait-influencing rare variants. Rarefy has been used for selecting individuals in Minnesota Twins substance abuse whole-genome sequencing project and SardiNia deep sequencing project.

::DEVELOPER

Abecasis Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows/Linux/MacOsX
  • C++ Compiler

:: DOWNLOAD

 Rarefy

:: MORE INFORMATION

GPCRpred – Prediction of Families & Superfamilies of G-protein Coupled receptors

GPCRpred

:: DESCRIPTION

 GPCRpred is a server forpredicting G-protein-coupled receptors and for classifying them in families and sub-families. This server can play vital role in drug design, as GPCR are commonly used as drug targets

::DEVELOPER

GPCRpred Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

Bhasin,M. and Raghava, G.P.S. (2004)
GPCRpred: An SVM Based Method for Prediction of families and subfamilies of G-protein coupled receptors.
Nucleic Acids Reasearch.Vol. 32. W383-W389

TSEMA – Prediction of Protein Pairings between interacting families

TSEMA

:: DESCRIPTION

 TSEMA is the server for efficient mapping assessment. This system calculates an initial mapping between two families of proteins based on a Monte Carlo approach and allows the user to interactively modify it based on performance figures and/or specific biological knowledge. All the explored mappings are graphically shown over a representation of the phylogenetic trees.

::DEVELOPER

Jose Maria González-Izarzugaza (jmgonzalez(AT)cnio(DOT)es) , CNIO – Spanish National Cancer Research Centre

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

“TSEMA: interactive prediction of protein pairings between interacting families”
Izarzugaza JM, Juan D, Pons C, Ranea JA, Valencia A, Pazos F
Nucleic Acids Res. 2006 Jul 1;34 (Web Server Issue); W315-9