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EVR: reconstruction of bacterial chromosome 3D structure models using error-vector resultant algorithm
BACKGROUND: More and more 3C/Hi-C experiments on prokaryotes have been published. However, most of the published modeling tools for chromosome 3D structures are targeting at eukaryotes. How to transform prokaryotic experimental chromosome interaction data into spatial structure models is an importan...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6794827/ https://www.ncbi.nlm.nih.gov/pubmed/31615397 http://dx.doi.org/10.1186/s12864-019-6096-0 |
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author | Hua, Kang-Jian Ma, Bin-Guang |
author_facet | Hua, Kang-Jian Ma, Bin-Guang |
author_sort | Hua, Kang-Jian |
collection | PubMed |
description | BACKGROUND: More and more 3C/Hi-C experiments on prokaryotes have been published. However, most of the published modeling tools for chromosome 3D structures are targeting at eukaryotes. How to transform prokaryotic experimental chromosome interaction data into spatial structure models is an important task and in great need. RESULTS: We have developed a new reconstruction program for bacterial chromosome 3D structure models called EVR that exploits a simple Error-Vector Resultant (EVR) algorithm. This software tool is particularly optimized for the closed-loop structural features of prokaryotic chromosomes. The parallel implementation of the program can utilize the computing power of both multi-core CPUs and GPUs. CONCLUSIONS: EVR can be used to reconstruct the bacterial 3D chromosome structure based on the contact frequency matrix derived from 3C/Hi-C experimental data quickly and precisely. |
format | Online Article Text |
id | pubmed-6794827 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-67948272019-10-21 EVR: reconstruction of bacterial chromosome 3D structure models using error-vector resultant algorithm Hua, Kang-Jian Ma, Bin-Guang BMC Genomics Software BACKGROUND: More and more 3C/Hi-C experiments on prokaryotes have been published. However, most of the published modeling tools for chromosome 3D structures are targeting at eukaryotes. How to transform prokaryotic experimental chromosome interaction data into spatial structure models is an important task and in great need. RESULTS: We have developed a new reconstruction program for bacterial chromosome 3D structure models called EVR that exploits a simple Error-Vector Resultant (EVR) algorithm. This software tool is particularly optimized for the closed-loop structural features of prokaryotic chromosomes. The parallel implementation of the program can utilize the computing power of both multi-core CPUs and GPUs. CONCLUSIONS: EVR can be used to reconstruct the bacterial 3D chromosome structure based on the contact frequency matrix derived from 3C/Hi-C experimental data quickly and precisely. BioMed Central 2019-10-15 /pmc/articles/PMC6794827/ /pubmed/31615397 http://dx.doi.org/10.1186/s12864-019-6096-0 Text en © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Hua, Kang-Jian Ma, Bin-Guang EVR: reconstruction of bacterial chromosome 3D structure models using error-vector resultant algorithm |
title | EVR: reconstruction of bacterial chromosome 3D structure models using error-vector resultant algorithm |
title_full | EVR: reconstruction of bacterial chromosome 3D structure models using error-vector resultant algorithm |
title_fullStr | EVR: reconstruction of bacterial chromosome 3D structure models using error-vector resultant algorithm |
title_full_unstemmed | EVR: reconstruction of bacterial chromosome 3D structure models using error-vector resultant algorithm |
title_short | EVR: reconstruction of bacterial chromosome 3D structure models using error-vector resultant algorithm |
title_sort | evr: reconstruction of bacterial chromosome 3d structure models using error-vector resultant algorithm |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6794827/ https://www.ncbi.nlm.nih.gov/pubmed/31615397 http://dx.doi.org/10.1186/s12864-019-6096-0 |
work_keys_str_mv | AT huakangjian evrreconstructionofbacterialchromosome3dstructuremodelsusingerrorvectorresultantalgorithm AT mabinguang evrreconstructionofbacterialchromosome3dstructuremodelsusingerrorvectorresultantalgorithm |