TRAL 2.0：使用圆形轮廓隐马尔可夫模型和进化比对器进行串联重复序列检测
TRAL 2.0: Tandem Repeat Detection With Circular Profile Hidden Markov Models and Evolutionary Aligner.
作者信息
Delucchi Matteo, Näf Paulina, Bliven Spencer, Anisimova Maria
机构信息
Institute of Applied Simulations, School of Life Sciences und Facility Management, Zurich University of Applied Sciences, Wädenswil, Switzerland.
SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
出版信息
Front Bioinform. 2021 Jun 25;1:691865. doi: 10.3389/fbinf.2021.691865. eCollection 2021.
The Tandem Repeat Annotation Library (TRAL) focuses on analyzing tandem repeat units in genomic sequences. TRAL can integrate and harmonize tandem repeat annotations from a large number of external tools, and provides a statistical model for evaluating and filtering the detected repeats. TRAL version 2.0 includes new features such as a module for identifying repeats from circular profile hidden Markov models, a new repeat alignment method based on the progressive Poisson Indel Process, an improved installation procedure and a docker container. TRAL is an open-source Python 3 library and is available, together with documentation and tutorials vital-it.ch/software/tral.
串联重复注释库（TRAL）专注于分析基因组序列中的串联重复单元。TRAL可以整合并协调来自大量外部工具的串联重复注释，并提供一个统计模型来评估和筛选检测到的重复序列。TRAL 2.0版本包括新功能，如用于从圆形轮廓隐马尔可夫模型识别重复序列的模块、基于渐进泊松插入缺失过程的新重复序列比对方法、改进的安装程序和一个Docker容器。TRAL是一个开源的Python 3库，可通过vital-it.ch/software/tral获取，同时还有文档和教程。
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