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cPlot: Contig-Plotting Visualization for the Analysis of Short-Read Nucleotide Sequence Alignments
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 a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9570162/ https://www.ncbi.nlm.nih.gov/pubmed/36232783 http://dx.doi.org/10.3390/ijms231911484 |
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author | Ji, Mingeun Kan, Yejin Kim, Dongyeon Jung, Jaehee Yi, Gangman |
author_facet | Ji, Mingeun Kan, Yejin Kim, Dongyeon Jung, Jaehee Yi, Gangman |
author_sort | Ji, Mingeun |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9570162 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95701622022-10-17 cPlot: Contig-Plotting Visualization for the Analysis of Short-Read Nucleotide Sequence Alignments Ji, Mingeun Kan, Yejin Kim, Dongyeon Jung, Jaehee Yi, Gangman Int J Mol Sci Article 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. MDPI 2022-09-29 /pmc/articles/PMC9570162/ /pubmed/36232783 http://dx.doi.org/10.3390/ijms231911484 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ji, Mingeun Kan, Yejin Kim, Dongyeon Jung, Jaehee Yi, Gangman cPlot: Contig-Plotting Visualization for the Analysis of Short-Read Nucleotide Sequence Alignments |
title | cPlot: Contig-Plotting Visualization for the Analysis of Short-Read Nucleotide Sequence Alignments |
title_full | cPlot: Contig-Plotting Visualization for the Analysis of Short-Read Nucleotide Sequence Alignments |
title_fullStr | cPlot: Contig-Plotting Visualization for the Analysis of Short-Read Nucleotide Sequence Alignments |
title_full_unstemmed | cPlot: Contig-Plotting Visualization for the Analysis of Short-Read Nucleotide Sequence Alignments |
title_short | cPlot: Contig-Plotting Visualization for the Analysis of Short-Read Nucleotide Sequence Alignments |
title_sort | cplot: contig-plotting visualization for the analysis of short-read nucleotide sequence alignments |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9570162/ https://www.ncbi.nlm.nih.gov/pubmed/36232783 http://dx.doi.org/10.3390/ijms231911484 |
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