Literature DB >> 11927773

Ab initio gene identification: prokaryote genome annotation with GeneScan and GLIMMER.

Gautam Aggarwal1, Ramakrishna Ramaswamy.   

Abstract

We compare the annotation of three complete genomes using the ab initio methods of gene identification GeneScan and GLIMMER. The annotation given in GenBank, the standard against which these are compared, has been made using GeneMark. We find a number of novel genes which are predicted by both methods used here, as well as a number of genes that are predicted by GeneMark, but are not identified by either of the nonconsensus methods that we have used. The three organisms studied here are all prokaryotic species with fairly compact genomes. The Fourier measure forms the basis for an efficient non-consensus method for gene prediction, and the algorithm GeneScan exploits this measure. We have bench-marked this program as well as GLIMMER using 3 complete prokaryotic genomes. An effort has also been made to study the limitations of these techniques for complete genome analysis. GeneScan and GLIMMER are of comparable accuracy insofar as gene-identification is concerned, with sensitivities and specificities typically greater than 0.9. The number of false predictions (both positive and negative) is higher for GeneScan as compared to GLIMMER, but in a significant number of cases, similar results are provided by the two techniques. This suggests that there could be some as-yet unidentified additional genes in these three genomes, and also that some of the putative identifications made hitherto might require re-evaluation. All these cases are discussed in detail.

Mesh:

Substances:

Year:  2002        PMID: 11927773     DOI: 10.1007/BF02703679

Source DB:  PubMed          Journal:  J Biosci        ISSN: 0250-5991            Impact factor:   1.826


  17 in total

1.  The DNA sequence of human chromosome 22.

Authors:  I Dunham; N Shimizu; B A Roe; S Chissoe; A R Hunt; J E Collins; R Bruskiewich; D M Beare; M Clamp; L J Smink; R Ainscough; J P Almeida; A Babbage; C Bagguley; J Bailey; K Barlow; K N Bates; O Beasley; C P Bird; S Blakey; A M Bridgeman; D Buck; J Burgess; W D Burrill; K P O'Brien
Journal:  Nature       Date:  1999-12-02       Impact factor: 49.962

2.  Finding genes in Plasmodium falciparum.

Authors:  M Pertea; S L Salzberg; M J Gardner
Journal:  Nature       Date:  2000-03-02       Impact factor: 49.962

3.  Improved microbial gene identification with GLIMMER.

Authors:  A L Delcher; D Harmon; S Kasif; O White; S L Salzberg
Journal:  Nucleic Acids Res       Date:  1999-12-01       Impact factor: 16.971

4.  The gene identification problem: an overview for developers.

Authors:  J W Fickett
Journal:  Comput Chem       Date:  1996-03

5.  Discovering and understanding genes in human DNA sequence using GRAIL.

Authors:  E C Uberbacher; Y Xu; R J Mural
Journal:  Methods Enzymol       Date:  1996       Impact factor: 1.600

6.  Prediction of probable genes by Fourier analysis of genomic sequences.

Authors:  S Tiwari; S Ramachandran; A Bhattacharya; S Bhattacharya; R Ramaswamy
Journal:  Comput Appl Biosci       Date:  1997-06

7.  Automated gene identification in large-scale genomic sequences.

Authors:  Y Xu; E C Uberbacher
Journal:  J Comput Biol       Date:  1997       Impact factor: 1.479

Review 8.  Computational methods for the identification of genes in vertebrate genomic sequences.

Authors:  J M Claverie
Journal:  Hum Mol Genet       Date:  1997       Impact factor: 6.150

9.  Gene identification in bacterial and organellar genomes using GeneScan.

Authors:  R Ramakrishna; R Srinivasan
Journal:  Comput Chem       Date:  1999-03-30

10.  Prediction of complete gene structures in human genomic DNA.

Authors:  C Burge; S Karlin
Journal:  J Mol Biol       Date:  1997-04-25       Impact factor: 5.469

View more
  29 in total

1.  Draft genome sequence of Streptomyces acidiscabies 84-104, an emergent plant pathogen.

Authors:  José C Huguet-Tapia; Rosemary Loria
Journal:  J Bacteriol       Date:  2012-04       Impact factor: 3.490

2.  The complete genome sequence of Mycobacterium avium subspecies paratuberculosis.

Authors:  Lingling Li; John P Bannantine; Qing Zhang; Alongkorn Amonsin; Barbara J May; David Alt; Nilanjana Banerji; Sagarika Kanjilal; Vivek Kapur
Journal:  Proc Natl Acad Sci U S A       Date:  2005-08-22       Impact factor: 11.205

3.  OMIGA: Optimized Maker-Based Insect Genome Annotation.

Authors:  Jinding Liu; Huamei Xiao; Shuiqing Huang; Fei Li
Journal:  Mol Genet Genomics       Date:  2014-03-09       Impact factor: 3.291

4.  Sequence finishing and gene mapping for Candida albicans chromosome 7 and syntenic analysis against the Saccharomyces cerevisiae genome.

Authors:  Hiroji Chibana; Nao Oka; Hironobu Nakayama; Toshihiro Aoyama; B B Magee; P T Magee; Yuzuru Mikami
Journal:  Genetics       Date:  2005-06-03       Impact factor: 4.562

5.  Chromosome-Scale, Haplotype-Resolved Genome Assembly of Non-Sex-Reversal Females of Swamp Eel Using High-Fidelity Long Reads and Hi-C Data.

Authors:  Hai-Feng Tian; Qiaomu Hu; Hong-Yi Lu; Zhong Li
Journal:  Front Genet       Date:  2022-05-18       Impact factor: 4.772

6.  Comparative analysis of the Borrelia garinii genome.

Authors:  G Glöckner; R Lehmann; A Romualdi; S Pradella; U Schulte-Spechtel; M Schilhabel; B Wilske; J Sühnel; M Platzer
Journal:  Nucleic Acids Res       Date:  2004-11-16       Impact factor: 16.971

7.  Genomic factors related to tissue tropism in Chlamydia pneumoniae infection.

Authors:  Thomas Weinmaier; Jonathan Hoser; Sebastian Eck; Inga Kaufhold; Kensuke Shima; Tim M Strom; Thomas Rattei; Jan Rupp
Journal:  BMC Genomics       Date:  2015-04-07       Impact factor: 3.969

8.  Complete Genome Sequence of Mannheimia haemolytica Strain 42548 from a Case of Bovine Respiratory Disease.

Authors:  Christopher Eidam; Anja Poehlein; Geovana Brenner Michael; Kristina Kadlec; Heiko Liesegang; Elzbieta Brzuszkiewicz; Rolf Daniel; Michael T Sweeney; Robert W Murray; Jeffrey L Watts; Stefan Schwarz
Journal:  Genome Announc       Date:  2013-05-30

9.  Strategies for reliable exploitation of evolutionary concepts in high throughput biology.

Authors:  Anthony Levasseur; Pierre Pontarotti; Olivier Poch; Julie D Thompson
Journal:  Evol Bioinform Online       Date:  2008-05-08       Impact factor: 1.625

10.  Importing statistical measures into Artemis enhances gene identification in the Leishmania genome project.

Authors:  Gautam Aggarwal; E A Worthey; Paul D McDonagh; Peter J Myler
Journal:  BMC Bioinformatics       Date:  2003-06-07       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.