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fLPS 2.0:生物序列中组成性偏向区域的快速注释

fLPS 2.0: rapid annotation of compositionally-biased regions in biological sequences.

作者信息

Harrison Paul M

机构信息

Department of Biology, McGill University, Montreal, QC, Canada.

出版信息

PeerJ. 2021 Oct 28;9:e12363. doi: 10.7717/peerj.12363. eCollection 2021.

Abstract

Compositionally-biased (CB) regions in biological sequences are enriched for a subset of sequence residue types. These can be shorter regions with a concentrated bias ( those termed 'low-complexity'), or longer regions that have a compositional skew. These regions comprise a prominent class of the uncharacterized 'dark matter' of the protein universe. Here, I report the latest version of the fLPS package for the annotation of CB regions, which includes added consideration of DNA sequences, to label the eight possible biased regions of DNA. In this version, the user is now able to restrict analysis to a specified subset of residue types, and also to filter for previously annotated domains to enable detection of discontinuous CB regions. A 'thorough' option has been added which enables the labelling of subtler biases, typically made from a skew for several residue types. In the output, protein CB regions are now labelled with bias classes reflecting the physico-chemical character of the biasing residues. The fLPS 2.0 package is available from: https://github.com/pmharrison/flps2 or in a Supplemental File of this paper.

摘要

生物序列中的组成性偏向(CB)区域富含特定子集的序列残基类型。这些区域可以是具有集中偏向的较短区域(即所谓的“低复杂性”区域),或者是具有组成偏斜的较长区域。这些区域构成了蛋白质宇宙中未被表征的“暗物质”的一个突出类别。在此,我报告了用于CB区域注释的fLPS软件包的最新版本,其中增加了对DNA序列的考虑,以标记DNA的八个可能的偏向区域。在这个版本中,用户现在能够将分析限制在特定的残基类型子集上,并且还可以筛选先前注释的结构域,以检测不连续的CB区域。增加了一个“彻底”选项,可用于标记更细微的偏向,通常由几种残基类型的偏斜形成。在输出结果中,蛋白质CB区域现在用反映偏向残基物理化学特征的偏向类别进行标记。fLPS 2.0软件包可从以下网址获取:https://github.com/pmharrison/flps2 或本文的补充文件中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/269d/8557692/7118fb9bccac/peerj-09-12363-g001.jpg

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