Cargando…

ReGSP: a visualized application for homology-based gene searching and plotting using multiple reference sequences

The massively parallel nature of next-generation sequencing technologies has contributed to the generation of massive sequence data in the last two decades. Deciphering the meaning of each generated sequence requires multiple analysis tools, at all stages of analysis, from the reads stage all the wa...

Descripción completa

Detalles Bibliográficos
Autores principales: Ejigu, Girum Fitihamlak, Yi, Gangman, Kim, Jong Im, Jung, Jaehee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8710255/
https://www.ncbi.nlm.nih.gov/pubmed/35036172
http://dx.doi.org/10.7717/peerj.12707
_version_ 1784623120071524352
author Ejigu, Girum Fitihamlak
Yi, Gangman
Kim, Jong Im
Jung, Jaehee
author_facet Ejigu, Girum Fitihamlak
Yi, Gangman
Kim, Jong Im
Jung, Jaehee
author_sort Ejigu, Girum Fitihamlak
collection PubMed
description The massively parallel nature of next-generation sequencing technologies has contributed to the generation of massive sequence data in the last two decades. Deciphering the meaning of each generated sequence requires multiple analysis tools, at all stages of analysis, from the reads stage all the way up to the whole-genome level. Homology-based approaches based on related reference sequences are usually the preferred option for gene and transcript prediction in newly sequenced genomes, resulting in the popularity of a variety of BLAST and BLAST-based tools. For organelle genomes, a single-reference–based gene finding tool that uses grouping parameters for BLAST results has been implemented in the Genome Search Plotter (GSP). However, this tool does not accept multiple and user-customized reference sequences required for a broad homology search. Here, we present multiple Reference–based Gene Search and Plot (ReGSP), a simple and convenient web tool that accepts multiple reference sequences for homology-based gene search. The tool incorporates cPlot, a novel dot plot tool, for illustrating nucleotide sequence similarity between the query and the reference sequences. ReGSP has an easy-to-use web interface and is freely accessible at https://ds.mju.ac.kr/regsp.
format Online
Article
Text
id pubmed-8710255
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher PeerJ Inc.
record_format MEDLINE/PubMed
spelling pubmed-87102552022-01-14 ReGSP: a visualized application for homology-based gene searching and plotting using multiple reference sequences Ejigu, Girum Fitihamlak Yi, Gangman Kim, Jong Im Jung, Jaehee PeerJ Bioinformatics The massively parallel nature of next-generation sequencing technologies has contributed to the generation of massive sequence data in the last two decades. Deciphering the meaning of each generated sequence requires multiple analysis tools, at all stages of analysis, from the reads stage all the way up to the whole-genome level. Homology-based approaches based on related reference sequences are usually the preferred option for gene and transcript prediction in newly sequenced genomes, resulting in the popularity of a variety of BLAST and BLAST-based tools. For organelle genomes, a single-reference–based gene finding tool that uses grouping parameters for BLAST results has been implemented in the Genome Search Plotter (GSP). However, this tool does not accept multiple and user-customized reference sequences required for a broad homology search. Here, we present multiple Reference–based Gene Search and Plot (ReGSP), a simple and convenient web tool that accepts multiple reference sequences for homology-based gene search. The tool incorporates cPlot, a novel dot plot tool, for illustrating nucleotide sequence similarity between the query and the reference sequences. ReGSP has an easy-to-use web interface and is freely accessible at https://ds.mju.ac.kr/regsp. PeerJ Inc. 2021-12-23 /pmc/articles/PMC8710255/ /pubmed/35036172 http://dx.doi.org/10.7717/peerj.12707 Text en ©2021 Ejigu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Ejigu, Girum Fitihamlak
Yi, Gangman
Kim, Jong Im
Jung, Jaehee
ReGSP: a visualized application for homology-based gene searching and plotting using multiple reference sequences
title ReGSP: a visualized application for homology-based gene searching and plotting using multiple reference sequences
title_full ReGSP: a visualized application for homology-based gene searching and plotting using multiple reference sequences
title_fullStr ReGSP: a visualized application for homology-based gene searching and plotting using multiple reference sequences
title_full_unstemmed ReGSP: a visualized application for homology-based gene searching and plotting using multiple reference sequences
title_short ReGSP: a visualized application for homology-based gene searching and plotting using multiple reference sequences
title_sort regsp: a visualized application for homology-based gene searching and plotting using multiple reference sequences
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8710255/
https://www.ncbi.nlm.nih.gov/pubmed/35036172
http://dx.doi.org/10.7717/peerj.12707
work_keys_str_mv AT ejigugirumfitihamlak regspavisualizedapplicationforhomologybasedgenesearchingandplottingusingmultiplereferencesequences
AT yigangman regspavisualizedapplicationforhomologybasedgenesearchingandplottingusingmultiplereferencesequences
AT kimjongim regspavisualizedapplicationforhomologybasedgenesearchingandplottingusingmultiplereferencesequences
AT jungjaehee regspavisualizedapplicationforhomologybasedgenesearchingandplottingusingmultiplereferencesequences