MaGnET 2.0 – Malaria Genome Exploration Tool

MaGnET 2.0

:: DESCRIPTION

MaGnET is a software tool enabling intuitive ‘exploration-style’ visualization of functional genomics data relating to the malaria parasite, Plasmodium falciparum.

::DEVELOPER

MaGnET team

:: SCREENSHOTS

MaGnET

:: REQUIREMENTS

  • Windows/Linux/MacOsX
  • Java

:: DOWNLOAD

 MaGnET

:: MORE INFORMATION

Citation:

Bioinformatics. 2013 Sep 15;29(18):2350-2. doi: 10.1093/bioinformatics/btt384. Epub 2013 Jul 27.
MaGnET: Malaria Genome Exploration Tool.
Sharman JL1, Gerloff DL.

iSMP-Grey – Predicting Secretory Proteins of Malaria Parasite Using grey- PsePSSM and SVM

iSMP-Grey

:: DESCRIPTION

The web-server iSMP-Grey was establish for identifying uncharacterized proteins as secretory proteins of malaria parasite or not according to their evolutionary information in form of position specific scoring matrix (PSSM).

::DEVELOPER

JCI BioInfo Lab

:: SCREENSHOTS

n/a

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

PLoS One. 2012;7(11):e49040. doi: 10.1371/journal.pone.0049040. Epub 2012 Nov 26.
Predicting secretory proteins of malaria parasite by incorporating sequence evolution information into pseudo amino acid composition via grey system model.
Lin WZ1, Fang JA, Xiao X, Chou KC.

ogaraK – Population Genetics Simulator for Malaria and Sex theory

ogaraK

:: DESCRIPTION

OgaraK, is a population genetics simulator for modelling the spread of drug resistant malaria. OgaraK is designed to make malaria simulation computationaly tractable as it models infections, not individual parasites.

::DEVELOPER

ogaraK team

:: SCREENSHOTS

ogaraK

:: REQUIREMENTS

  • Windows /  MacOsX / Linux
  • Java

:: DOWNLOAD

 OgaraK

:: MORE INFORMATION

Citation

Bioinformatics. 2011 May 1;27(9):1335-6. doi: 10.1093/bioinformatics/btr139. Epub 2011 Mar 16.
ogaraK: a population genetics simulator for malaria.
Antao T1, Hastings IM.

SAMP – Structural Annotation of Malaria Proteins

SAMP

:: DESCRIPTION

SAMP is a database containing predictions for Plasmodium proteomes. Protein sequences from P.falciparum, P.yoelii and P.vivax have been subjected to protein sequence analysis and searches against various databases. Protein sequences are identified by PLASMODB IDs. Links are provided to PlasmoDB in the annotations.

::DEVELOPER

the Bioinformatics and Computational Biology Unit at the University of Pretoria

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Joubert Y and Joubert F (2008)
A structural annotation resource for the selection of putative target proteins in the malaria parasite.
Malaria Journal 7, 90.