Finding novel genes in bacterial communities isolated from the environment
Author(s) -
Lutz Krause,
Naryttza N. Diaz,
Daniela Bartels,
Robert A. Edwards,
Alfred Pühler,
Forest Rohwer,
Folker Meyer,
Jens Stoye
Publication year - 2006
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btl247
Subject(s) - contig , metagenomics , gene , exploit , frame (networking) , computer science , computational biology , gene prediction , sample (material) , biology , data mining , genetics , genome , telecommunications , chemistry , computer security , chromatography
Novel sequencing techniques can give access to organisms that are difficult to cultivate using conventional methods. When applied to environmental samples, the data generated has some drawbacks, e.g. short length of assembled contigs, in-frame stop codons and frame shifts. Unfortunately, current gene finders cannot circumvent these difficulties. At the same time, the automated prediction of genes is a prerequisite for the increasing amount of genomic sequences to ensure progress in metagenomics.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom