GOGO – Measure Semantic Similarity between Gene Ontology terms

GOGO

:: DESCRIPTION

GOGO is an improved algorithm to measure the semantic similarity of gene ontology terms

::DEVELOPER

Z. WANG LAB

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Perl

:: DOWNLOAD

GOGO

:: MORE INFORMATION

Citation

Zhao C, Wang Z.
GOGO: An improved algorithm to measure the semantic similarity between gene ontology terms.
Sci Rep. 2018 Oct 10;8(1):15107. doi: 10.1038/s41598-018-33219-y. PMID: 30305653; PMCID: PMC6180005.

CateGOrizer 3.218 – Gene Ontology (GO) Terms Classifications Tool

CateGOrizer 3.218

:: DESCRIPTION

CateGOrizer, previously known as “GO Terms Classifications Counter”, is a free web tool for users to batch analyze GO term data sets in terms of GO classes they represent.

::DEVELOPER

NAGRP Bioinformatics Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

Zhi-Liang Hu, Jie Bao and James M. Reecy (2008)
CateGOrizer: A Web-Based Program to Batch Analyze Gene Ontology Classification Categories“.
Online J Bioinform. 9 (2):108-112.

Csbl.go 1.4.1 – Gene Ontology based Clustering using semantic Similarity

Csbl.go 1.4.1

:: DESCRIPTION

Csbl.go is an R package for computing semantic similarity between genes using Gene Ontology annotation and for clustering genes based on the similarity measures. The package also includes GO enrichment analysis functionality.

::DEVELOPER

Hautaniemi Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows/Linux/MacOsX
  • R Package

:: DOWNLOAD

 Csbl.go

:: MORE INFORMATION

Citation

Fast Gene Ontology based clustering for microarray experiments
Kristian Ovaska, Marko Laakso and Sampsa Hautaniemi
BioData Mining 2008, 1:11

Argot2 – Functional Annotation of Proteins using the Semantic Similarity in the Gene Ontology

Argot2

:: DESCRIPTION

Argot2 (Annotation Retrieval of Genel Ontology Terms) is able to quickly process thousands of sequences for functional inference. The tool exploits a combined approach based on the clustering process of GO terms dependent on their semantic similarities and a weighting scheme which assesses retrieved hits sharing a certain degree of biological features with the sequence to annotate.

::DEVELOPER

Argot2 team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

BMC Bioinformatics. 2012 Mar 28;13 Suppl 4:S14. doi: 10.1186/1471-2105-13-S4-S14.
Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms.
Falda M1, Toppo S, Pescarolo A, Lavezzo E, Di Camillo B, Facchinetti A, Cilia E, Velasco R, Fontana P.

GOssTo 1.01 – the Gene Ontology Semantic Similarity Tool

GOssTo 1.01

:: DESCRIPTION

GOssTo is a Java based semantic similarity calculator. Bundled in the software are the well-known Resnik, Lin, Jian, simUI, simGRASM similarity measures. It features powerful extension capabilities allowing the user to add as many similarity measures as needed.

::DEVELOPER

Paccanaro Lab

:: SCREENSHOTS

N/A

::REQUIREMENTS

  • Linux/ Windows/ MacOsX
  • Java

:: DOWNLOAD

  GOssTo

:: MORE INFORMATION

Citation

Bioinformatics. 2014 Mar 22. [Epub ahead of print]
GOssTo: a user-friendly stand-alone and web tool for calculating semantic similarities on the Gene Ontology.
Caniza H1, Romero AE, Heron S, Yang H, Devoto A, Frasca M, Mesiti M, Valentini G, Paccanaro A.

GOtcha 200812 – Prediction of Gene Function by Application of Gene Ontology

GOtcha 200812

:: DESCRIPTION

GOtcha uses sequence similarity searches to associate GO terms with your sequence. These are ranked by probability and displayed graphically on a subtree of Gene Ontology.

::DEVELOPER

The Barton Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 GOtcha

:: MORE INFORMATION

Citation

Martin,DMA, Berriman, M and Barton, GJ (2004),
GOtcha: a new method for prediction of protein function assessed by the annotation of seven genomes,
BMC Bioinformatics, 5:178 (18 November 2004)

GOrilla – Gene Ontology enRIchment anaLysis and visuaLizAtion tool

GOrilla

:: DESCRIPTION

GOrilla is a web-based application that identifies enriched GO terms in ranked lists of genes, without requiring the user to provide explicit target and background sets. This is particularly useful in many typical cases where genomic data may be naturally represented as a ranked list of genes (e.g. by level of expression or of differential expression).

::DEVELOPER

Yakhini Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Eran Eden, Roy Navon, Israel Steinfeld, Doron Lipson and Zohar Yakhini.
GOrilla: A Tool For Discovery And Visualization of Enriched GO Terms in Ranked Gene Lists“,
BMC Bioinformatics 2009, 10:48.

GOMEP – Gene Ontology-based Missing Enzyme Predictor

GOMEP

:: DESCRIPTION

GOMEP Predicts Missing Enzymes using functional coherence scores of Gene Ontology (GO) terms

::DEVELOPER

Kihara Bioinformatics Laboratory

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • R

:: DOWNLOAD

GOMEP

:: MORE INFORMATION

Citation

Sci Rep. 2016 Aug 24;6:31725. doi: 10.1038/srep31725.
Missing gene identification using functional coherence scores.
Chitale M, Khan IK, Kihara D

NaviGO – An analytic tool for Gene Ontology Visualization and Similarity

NaviGO

:: DESCRIPTION

NaviGO is a web-based tool for interactive visualization, retrieval, and computation of functional similarity and associations of GO terms and genes.

::DEVELOPER

Kihara Bioinformatics Laboratory

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

NaviGO: interactive tool for visualization and functional similarity and coherence analysis with gene ontology.
Wei Q, Khan IK, Ding Z, Yerneni S, Kihara D.
BMC Bioinformatics. 2017 Mar 20;18(1):177. doi: 10.1186/s12859-017-1600-5.

PhyloPFP – Gene Ontology Prediction Using Phylogenomics

PhyloPFP

:: DESCRIPTION

PhyloPFP is a phylogenomics based protein function prediction server

::DEVELOPER

Kihara Bioinformatics Laboratory

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Bioinformatics. 2019 Mar 1;35(5):753-759. doi: 10.1093/bioinformatics/bty704.
Phylo-PFP: improved automated protein function prediction using phylogenetic distance of distantly related sequences.
Jain A, Kihara D.