生物信息学作为理解噬菌体转录的一线方法。

Bacteriophage Pub Date : 2015-06-24 eCollection Date: 2015-07-01 DOI:10.1080/21597081.2015.1062588
Jelena Guzina, Marko Djordjevic
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引用次数: 4

摘要

目前了解感染过程中噬菌体转录策略的方法包括实验和生物信息学方法的结合,这通常是耗时和资源消耗。鉴于噬菌体基因组测序的数量呈指数级增长,询问仅使用生物信息学方法就能在多大程度上理解噬菌体转录就变得明智了。我们在此认为,选择合适的计算方法可能为理解噬菌体转录提供高效的一线方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bioinformatics as a first-line approach for understanding bacteriophage transcription.

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.

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