Literature DB >> 18796479

GOSLING: a rule-based protein annotator using BLAST and GO.

Craig E Jones1, Julian Schwerdt, Tessa Arwen Bretag, Ute Baumann, Alfred L Brown.   

Abstract

UNLABELLED: GOSLING is a web-based protein function annotator that uses a decision tree-derived rule set to quickly predict Gene Ontology terms for a protein. A score is assigned to each term prediction that is indicative of the accuracy of the prediction. Due to its speed and accuracy GOSLING is ideally suited for high-throughput annotation tasks. AVAILABILITY: https://www.sapac.edu.au/gosling

Mesh：

Substances：

Year:  2008        PMID： 18796479     DOI： 10.1093/bioinformatics/btn486

Source DB:  PubMed          Journal:  Bioinformatics        ISSN： 1367-4803            Impact factor:   6.937


  2 in total

1.  Homology-based inference sets the bar high for protein function prediction.

Authors:  Tobias Hamp; Rebecca Kassner; Stefan Seemayer; Esmeralda Vicedo; Christian Schaefer; Dominik Achten; Florian Auer; Ariane Boehm; Tatjana Braun; Maximilian Hecht; Mark Heron; Peter Hönigschmid; Thomas A Hopf; Stefanie Kaufmann; Michael Kiening; Denis Krompass; Cedric Landerer; Yannick Mahlich; Manfred Roos; Burkhard Rost
Journal:  BMC Bioinformatics       Date:  2013-02-28       Impact factor: 3.169

2.  Predictability of gene ontology slim-terms from primary structure information in Embryophyta plant proteins.

Authors:  Jorge Alberto Jaramillo-Garzón; Joan Josep Gallardo-Chacón; César Germán Castellanos-Domínguez; Alexandre Perera-Lluna
Journal:  BMC Bioinformatics       Date:  2013-02-26       Impact factor: 3.169
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.