cPlot: Contig-Plotting Visualization for the Analysis of Short-Read Nucleotide Sequence Alignments.
contig plotting
read alignment
sequence alignment
Journal
International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791
Informations de publication
Date de publication:
29 Sep 2022
29 Sep 2022
Historique:
received:
19
08
2022
revised:
13
09
2022
accepted:
21
09
2022
entrez:
14
10
2022
pubmed:
15
10
2022
medline:
18
10
2022
Statut:
epublish
Résumé
Advances in the next-generation sequencing technology have led to a dramatic decrease in read-generation cost and an increase in read output. Reconstruction of short DNA sequence reads generated by next-generation sequencing requires a read alignment method that reconstructs a reference genome. In addition, it is essential to analyze the results of read alignments for a biologically meaningful inference. However, read alignment from vast amounts of genomic data from various organisms is challenging in that it involves repeated automatic and manual analysis steps. We, here, devised cPlot software for read alignment of nucleotide sequences, with automated read alignment and position analysis, which allows visual assessment of the analysis results by the user. cPlot compares sequence similarity of reads by performing multiple read alignments, with FASTA format files as the input. This application provides a web-based interface for the user for facile implementation, without the need for a dedicated computing environment. cPlot identifies the location and order of the sequencing reads by comparing the sequence to a genetically close reference sequence in a way that is effective for visualizing the assembly of short reads generated by NGS and rapid gene map construction.
Identifiants
pubmed: 36232783
pii: ijms231911484
doi: 10.3390/ijms231911484
pmc: PMC9570162
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : National Research Foundation of Korea
ID : NRF-2022R1F1A1074228
Organisme : National Research Foundation of Korea
ID : NRF-2022R1F1A1061476
Références
Nat Biotechnol. 2015 Jun;33(6):623-30
pubmed: 26006009
Genome Biol. 2004;5(2):R12
pubmed: 14759262
Bioinformatics. 2009 Aug 1;25(15):1966-7
pubmed: 19497933
Bioinformatics. 2013 Jul 01;29(13):i361-70
pubmed: 23813006
Bioinformatics. 2011 Oct 15;27(20):2790-6
pubmed: 21856737
Bioinformatics. 2016 Nov 15;32(22):3492-3494
pubmed: 27423894
PLoS One. 2015 Jun 05;10(6):e0129284
pubmed: 26047475
BMC Genomics. 2019 Apr 4;20(Suppl 2):190
pubmed: 30967123
PeerJ. 2018 Jun 4;6:e4958
pubmed: 29888139
Bioinformatics. 2010 Feb 15;26(4):570-1
pubmed: 20015948
Genome Res. 2008 Nov;18(11):1851-8
pubmed: 18714091
PLoS Comput Biol. 2018 Jan 26;14(1):e1005944
pubmed: 29373581
Genome Res. 2011 Jun;21(6):936-9
pubmed: 20980556
J Mol Biol. 1990 Oct 5;215(3):403-10
pubmed: 2231712
Bioinformation. 2007 Apr 10;1(10):420-2
pubmed: 17597932
BMC Med Genomics. 2016 Aug 12;9 Suppl 1:36
pubmed: 27535823