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PMID: 11927773 Published · ppublish English Comparative Study Evaluation Study Journal Article Research Support, Non-U.S. Gov't

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

Journal of biosciences ·Vol. 27 ·No. 1 Suppl 1 ·2002-02-00 ·Pages 7-14

Aggarwal G, Ramaswamy R

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 Terms
Algorithms Campylobacter jejuni/genetics Computational Biology DNA, Bacterial/genetics Databases, Nucleic Acid Fourier Analysis Genes, Bacterial Genome, Bacterial Haemophilus influenzae/genetics Helicobacter pylori/genetics Mathematics Sensitivity and Specificity Sequence Analysis, DNA/instrumentation,methods
Chemicals
DNA, Bacterial
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Aggarwal Gautam
School of Physical Sciences, Jawaharlal Nehru University, New Delhi 110 067, India.
Ramaswamy Ramakrishna
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Article Info
Journal
Journal of biosciences
Abbr.
J Biosci
ISSN
0250-5991
Published
2002-02-00
Pages
7-14
Language
English
Region
India
NLM ID
8100809
Subset
IM
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