Literature DB >> 11738707

Phat--a gene finding program for Plasmodium falciparum.

S E Cawley1, A I Wirth, T P Speed.   

Abstract

We describe and assess the performance of the gene finding program pretty handy annotation tool (Phat) on sequence from the malaria parasite Plasmodium falciparum. Phat is based on a generalized hidden Markov model (GHMM) similar to the models used in GENSCAN, Genie and HMMgene. In a test set of 44 confirmed gene structures Phat achieves nucleotide-level sensitivity and specificity of greater than 95%, performing as well as the other P. falciparum gene finding programs Hexamer and GlimmerM. Phat is particularly useful for P. falciparum and other eukaryotes for which there are few gene finding programs available as it is distributed with code for retraining it on new organisms. Moreover, the full source code is freely available under the GNU General Public License, allowing for users to further develop and customize it.

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Year:  2001        PMID: 11738707     DOI: 10.1016/s0166-6851(01)00363-2

Source DB:  PubMed          Journal:  Mol Biochem Parasitol        ISSN: 0166-6851            Impact factor:   1.759


  9 in total

1.  Gene prediction and verification in a compact genome with numerous small introns.

Authors:  Aaron E Tenney; Randall H Brown; Charles Vaske; Jennifer K Lodge; Tamara L Doering; Michael R Brent
Journal:  Genome Res       Date:  2004-10-12       Impact factor: 9.043

2.  A novel strategy for the identification of antigens that are recognised by bovine MHC class I restricted cytotoxic T cells in a protozoan infection using reverse vaccinology.

Authors:  Simon P Graham; Yoshikazu Honda; Roger Pellé; Duncan M Mwangi; E Jane Glew; Etienne P de Villiers; Trushar Shah; Richard Bishop; Pierre van der Bruggen; Vishvanath Nene; Evans L N Taracha
Journal:  Immunome Res       Date:  2007-02-09

3.  Efficient decoding algorithms for generalized hidden Markov model gene finders.

Authors:  William H Majoros; Mihaela Pertea; Arthur L Delcher; Steven L Salzberg
Journal:  BMC Bioinformatics       Date:  2005-01-24       Impact factor: 3.169

4.  An empirical analysis of training protocols for probabilistic gene finders.

Authors:  William H Majoros; Steven L Salzberg
Journal:  BMC Bioinformatics       Date:  2004-12-21       Impact factor: 3.169

5.  ToPS: a framework to manipulate probabilistic models of sequence data.

Authors:  André Yoshiaki Kashiwabara; Igor Bonadio; Vitor Onuchic; Felipe Amado; Rafael Mathias; Alan Mitchell Durham
Journal:  PLoS Comput Biol       Date:  2013-10-03       Impact factor: 4.475

6.  Comparative genomic analysis and phylogenetic position of Theileria equi.

Authors:  Lowell S Kappmeyer; Mathangi Thiagarajan; David R Herndon; Joshua D Ramsay; Elisabet Caler; Appolinaire Djikeng; Joseph J Gillespie; Audrey Ot Lau; Eric H Roalson; Joana C Silva; Marta G Silva; Carlos E Suarez; Massaro W Ueti; Vishvanath M Nene; Robert H Mealey; Donald P Knowles; Kelly A Brayton
Journal:  BMC Genomics       Date:  2012-11-09       Impact factor: 3.969

7.  Developmentally regulated expression, alternative splicing and distinct sub-groupings in members of the Schistosoma mansoni venom allergen-like (SmVAL) gene family.

Authors:  Iain W Chalmers; Andrew J McArdle; Richard Mr Coulson; Marissa A Wagner; Ralf Schmid; Hirohisa Hirai; Karl F Hoffmann
Journal:  BMC Genomics       Date:  2008-02-23       Impact factor: 3.969

8.  Genome sequence of Babesia bovis and comparative analysis of apicomplexan hemoprotozoa.

Authors:  Kelly A Brayton; Audrey O T Lau; David R Herndon; Linda Hannick; Lowell S Kappmeyer; Shawn J Berens; Shelby L Bidwell; Wendy C Brown; Jonathan Crabtree; Doug Fadrosh; Tamara Feldblum; Heather A Forberger; Brian J Haas; Jeanne M Howell; Hoda Khouri; Hean Koo; David J Mann; Junzo Norimine; Ian T Paulsen; Diana Radune; Qinghu Ren; Roger K Smith; Carlos E Suarez; Owen White; Jennifer R Wortman; Donald P Knowles; Terry F McElwain; Vishvanath M Nene
Journal:  PLoS Pathog       Date:  2007-10-19       Impact factor: 6.823

9.  Gene finding in novel genomes.

Authors:  Ian Korf
Journal:  BMC Bioinformatics       Date:  2004-05-14       Impact factor: 3.169

  9 in total

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