| Literature DB >> 26442194 |
Jelena Guzina1, Marko Djordjevic1.
Abstract
Current approach to understanding bacteriophage transcription strategies during infection includes a combination of experimental and bioinformatics approaches, which is often time and resource consuming. Given the exponentially growing number of sequenced bacteriophage genomes, it becomes sensible asking to what extent one can understand bacteriophage transcription by using bioinformatics methods alone. We here argue that a suitable choice of computational methods may provide a highly efficient first-line approach for underst-anding bacteriophage transcription.Entities:
Keywords: bacteriophage transcription; bioinformatics analysis; computational genomics; genome analysis; promoter predictions; transcription start-site prediction
Year: 2015 PMID: 26442194 PMCID: PMC4588165 DOI: 10.1080/21597081.2015.1062588
Source DB: PubMed Journal: Bacteriophage ISSN: 2159-7073