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1.
Bioinformatics ; 28(9): 1270-1, 2012 May 01.
Article in English | MEDLINE | ID: mdl-22426345

ABSTRACT

MOTIVATION: This website allows the detection of horizontal transfers based on a combination of parametric methods and proposes an origin by researching neighbors in a bank of genomic signatures. This bank is also used to research an origin to DNA fragments from metagenomics studies. RESULTS: Different services are provided like the possibility of inferring a phylogenetic tree with sequence signatures or comparing two genomes and displaying the rearrangements that happened since their separation. AVAILABILITY AND IMPLEMENTATION: http://gohtam.rpbs.univ-paris-diderot.fr/


Subject(s)
Gene Transfer, Horizontal , Metagenomics/methods , Phylogeny , Bacteria/classification , Bacteria/genetics , Genome , Genome, Bacterial , Sequence Alignment/methods , Sequence Analysis, DNA/methods
2.
PLoS One ; 5(4): e9989, 2010 Apr 01.
Article in English | MEDLINE | ID: mdl-20376325

ABSTRACT

Horizontal gene transfer (HGT) has appeared to be of importance for prokaryotic species evolution. As a consequence numerous parametric methods, using only the information embedded in the genomes, have been designed to detect HGTs. Numerous reports of incongruencies in results of the different methods applied to the same genomes were published. The use of artificial genomes in which all HGT parameters are controlled allows testing different methods in the same conditions. The results of this benchmark concerning 16 representative parametric methods showed a great variety of efficiencies. Some methods work very poorly whatever the type of HGTs and some depend on the conditions or on the metrics used. The best methods in terms of total errors were those using tetranucleotides as criterion for the window methods or those using codon usage for gene based methods and the Kullback-Leibler divergence metric. Window methods are very sensitive but less specific and detect badly lone isolated gene. On the other hand gene based methods are often very specific but lack of sensitivity. We propose using two methods in combination to get the best of each category, a gene based one for specificity and a window based one for sensitivity.


Subject(s)
Gene Transfer, Horizontal , Base Sequence , Codon , Computational Biology/methods , Genomics/methods , Methods , Models, Genetic
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