DocumentCode :
3177278
Title :
Comparison of Gene Prediction Programs for Metagenomic Data
Author :
Yok, Non ; Rosen, Gail
Author_Institution :
ECE Dept., Drexel Univ., Philadelphia, PA, USA
fYear :
2010
fDate :
May 31 2010-June 3 2010
Firstpage :
291
Lastpage :
292
Abstract :
This manuscript presents the most rigorous benchmarking of gene annotation algorithms for metagenomic datasets to date. We compare three different programs: GeneMark, MetaGeneAnnotator (MGA) and Orphelia. The comparisons are based on their performances over simulated fragments from hundred species of diverse lineages. We defined three different types of fragments: one type from the intra-coding region and the other types are from the gene edges. The general observation was that performances of all these programs improve as we increase the length of the fragment. On the other hand, intra-coding fragments of our data show a low annotation error in all of the programs if compared to the genes edges.
Keywords :
bioinformatics; biological techniques; genetics; molecular configurations; GeneMark; MGA; MetaGeneAnnotator; Orphelia; gene annotation algorithm benchmarking; gene edges; gene intracoding region; gene prediction programs; metagenomic data; Bioinformatics; Biomedical engineering; Frequency; Genomics; Length measurement; Microorganisms; Organisms; Performance evaluation; Predictive models; Software packages; GeneMark; MGA; Metagenomic; Orphelia; error; fragments; sensitivity; specificity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
BioInformatics and BioEngineering (BIBE), 2010 IEEE International Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
978-1-4244-7494-3
Type :
conf
DOI :
10.1109/BIBE.2010.58
Filename :
5521669
Link To Document :
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