2004
DOI: 10.1186/1471-2105-5-163
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TETRA: a web-service and a stand-alone program for the analysis and comparison of tetranucleotide usage patterns in DNA sequences

Abstract: Background: In the emerging field of environmental genomics, direct cloning and sequencing of genomic fragments from complex microbial communities has proven to be a valuable source of new enzymes, expanding the knowledge of basic biological processes. The central problem of this so called metagenome-approach is that the cloned fragments often lack suitable phylogenetic marker genes, rendering the identification of clones that are likely to originate from the same genome difficult or impossible. In such cases,… Show more

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Cited by 310 publications
(139 citation statements)
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“…Genome-wide fluctuations in tetranucleotide composition (SI Fig. 5) were calculated and plotted with the program TETRA (16).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Genome-wide fluctuations in tetranucleotide composition (SI Fig. 5) were calculated and plotted with the program TETRA (16).…”
Section: Methodsmentioning
confidence: 99%
“…Both a smooth tetranucleotide signature (SI Fig. 5) (16) and the absence of transposons in the vicinity make it highly unlikely that the PS operon has been obtained by a recent lateral gene transfer. The operon consists of the typical subclusters crtEF-bchCXYZ-puf and bchFNBHLM ( Fig.…”
Section: Structure and Phylogenetic Analysis Of The Photosynthesis (Ps)mentioning
confidence: 99%
“…Scaffolds and contigs were initially assigned to fer1(env) based solely on assembly and subsequent analyses including % GϩC, read depth, and profiling of nucleotide frequencies using TETRA (42). Subsequently, community genome contigs and scaffolds assigned to fer1(env) were verified by comparison with the F. acidarmanus fer1 genome by using BLAST (43) and MUMmer 3.0 software package's NUCmer (44).…”
Section: Population Structure In the Context Of Environmental And Geomentioning
confidence: 99%
“…The Galaxy framework supports basic metagenomic analyses (Kosakovsky Pond et al 2009). An alternative to using a homology-based approach is to employ a machine-learning method that uses simple signatures of the reads, as implemented in TETRA (Teeling et al 2004), PhyloPythia (McHardy et al 2007, and GSOM/S-GSOM (Chan et al 2008). More recent tools include Phymm (Brady and Salzberg 2009) and NBC (Rosen et al 2010).…”
mentioning
confidence: 99%