Literature DB >> 23958725

PRAP: an ab initio software package for automated genome-wide analysis of DNA repeats for prokaryotes.

Gwo-Liang Chen1, Yun-Juan Chang, Chun-Hway Hsueh.   

Abstract

MOTIVATION: Prokaryotic genome annotation has been focused mainly on identifying all genes and their protein functions. However, <30% of the prokaryotic genomes submitted to GenBank contain partial repeat features of specific types and none of the genomes contain complete repeat annotations. Deciphering all repeats in DNA sequences is an important and open task in genome annotation and bioinformatics. Hence, there is an immediate need of a tool capable of identifying full spectrum repeats in the whole genome.
RESULTS: We report the PRAP (Prokaryotic Repeats Annotation Program software package to automate the analysis of repeats in both finished and draft genomes. It is aimed at identifying full spectrum repeats at the scale of the prokaryotic genome. Compared with the major existing repeat finding tools, PRAP exhibits competitive or better results. The results are consistent with manually curated and experimental data. Repeats can be identified and grouped into families to define their relevant types. The final output is parsed into the European Molecular Biology Laboratory (EMBL)/GenBank feature table format for reading and displaying in Artemis, where it can be combined or compared with other genome data. It is currently the most complete repeat finder for prokaryotes and is a valuable tool for genome annotation. AVAILABILITY: https://sites.google.com/site/prapsoftware/ CONTACT: hsuehc@ntu.edu.tw. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

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Year:  2013        PMID: 23958725     DOI: 10.1093/bioinformatics/btt482

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  3 in total

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Authors:  Viktor A Shamanskiy; Valeria N Timonina; Konstantin Yu Popadin; Konstantin V Gunbin
Journal:  BMC Genomics       Date:  2019-05-08       Impact factor: 3.969

2.  A sensitive repeat identification framework based on short and long reads.

Authors:  Xingyu Liao; Min Li; Kang Hu; Fang-Xiang Wu; Xin Gao; Jianxin Wang
Journal:  Nucleic Acids Res       Date:  2021-09-27       Impact factor: 16.971

3.  Fast and global detection of periodic sequence repeats in large genomic resources.

Authors:  Hideto Mori; Daniel Evans-Yamamoto; Soh Ishiguro; Masaru Tomita; Nozomu Yachie
Journal:  Nucleic Acids Res       Date:  2019-01-25       Impact factor: 16.971

  3 in total

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