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From Proteinfunction
Contents |
GOblet
- http://goblet.molgen.mpg.de/cgi-bin/goblet/webapp-goblet.cgi?menu=Intro
- It uses a variety of different protein databases(human, murines, invertebrates, plants, sp-trembl) and their respective GO mappings
GoFigure
- http://udgenome.ags.udel.edu/gofigure/
- It accepts an input DNA or protein sequence, and uses BLAST to identify homologous sequences in GO annotated DBs. Minimum covering graph construction technique is used.
GOPET
- http://genius.embnet.dkfz-heidelberg.de/menu/biounit/open-husar
- Marchine learning for a set of proteins from different organisms is used to predict protein function. It gives predicted function with formalised confidence values.
GOtcha
- http://www.compbio.dundee.ac.uk/gotcha/gotcha.php
InterProScan
- http://www.ebi.ac.uk/InterProScan/
- An integration platform for the signature-recognition methods in InterPro.
JAFA
- http://jafa.burnham.org/
- JAFA (Joined Assembly of Function Annotations) is a protein function annotation meta-server.
- It queries five function prediction server : GOFigure, GOtcha, GOblet, InterProScan and PhydBac2.
PFP
- PFP is an automated protein function prediction server developed by Kihara Lab at Purdue University.
Phydbac2
- Phydbac(phylogenomic display of bacterial genes) implemented a method of phylogenomic profiling using a distance measure based on normalized BLAST scores.
ProFunc
- ProFunc predicts protein function from 3D structure.
ProKnow
- http://www.doe-mbi.ucla.edu/Services/ProKnow/
- Predict protein function using various features from structure or sequence of protein
ProteomeAnalyst
- http://www.cs.ualberta.ca/~bioinfo/PA/
- Predict the properties of protein including GO terms using marchine learned classifiers
ProtoNet
- http://www.protonet.cs.huji.ac.il/
- ProtoNet predict protein functions based on their location within ProtoNet clustering of proteins.
SIFTER
- http://sifter.berkeley.edu/
- Using bayesian phylogenetic relationship
