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Abalign: a comprehensive multiple sequence alignment platform for B-cell receptor immune repertoires
The utilization of high-throughput sequencing (HTS) for B-cell receptor (BCR) immune repertoire analysis has become widespread in the fields of adaptive immunity and antibody drug development. However, the sheer volume of sequences generated by these experiments presents a challenge in data processi...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320167/ https://www.ncbi.nlm.nih.gov/pubmed/37207341 http://dx.doi.org/10.1093/nar/gkad400 |
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author | Zong, Fanjie Long, Chenyu Hu, Wanxin Chen, Shuang Dai, Wentao Xiao, Zhi-Xiong Cao, Yang |
author_facet | Zong, Fanjie Long, Chenyu Hu, Wanxin Chen, Shuang Dai, Wentao Xiao, Zhi-Xiong Cao, Yang |
author_sort | Zong, Fanjie |
collection | PubMed |
description | The utilization of high-throughput sequencing (HTS) for B-cell receptor (BCR) immune repertoire analysis has become widespread in the fields of adaptive immunity and antibody drug development. However, the sheer volume of sequences generated by these experiments presents a challenge in data processing. Specifically, multiple sequence alignment (MSA), a critical aspect of BCR analysis, remains inadequate for handling massive BCR sequencing data and lacks the ability to provide immunoglobulin-specific information. To address this gap, we introduce Abalign, a standalone program specifically designed for ultrafast MSA of BCR/antibody sequences. Benchmark tests demonstrate that Abalign achieves comparable or even better accuracy than state-of-the-art MSA tools, and shows remarkable advantages in terms of speed and memory consumption, reducing the time required for high-throughput analysis from weeks to hours. In addition to its alignment capabilities, Abalign offers a broad range of BCR analysis features, including extracting BCRs, constructing lineage trees, assigning VJ genes, analyzing clonotypes, profiling mutations, and comparing BCR immune repertoires. With its user-friendly graphic interface, Abalign can be easily run on personal computers instead of computing clusters. Overall, Abalign is an easy-to-use and effective tool that enables researchers to analyze massive BCR/antibody sequences, leading to new discoveries in the field of immunoinformatics. The software is freely available at http://cao.labshare.cn/abalign/. |
format | Online Article Text |
id | pubmed-10320167 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-103201672023-07-06 Abalign: a comprehensive multiple sequence alignment platform for B-cell receptor immune repertoires Zong, Fanjie Long, Chenyu Hu, Wanxin Chen, Shuang Dai, Wentao Xiao, Zhi-Xiong Cao, Yang Nucleic Acids Res Web Server Issue The utilization of high-throughput sequencing (HTS) for B-cell receptor (BCR) immune repertoire analysis has become widespread in the fields of adaptive immunity and antibody drug development. However, the sheer volume of sequences generated by these experiments presents a challenge in data processing. Specifically, multiple sequence alignment (MSA), a critical aspect of BCR analysis, remains inadequate for handling massive BCR sequencing data and lacks the ability to provide immunoglobulin-specific information. To address this gap, we introduce Abalign, a standalone program specifically designed for ultrafast MSA of BCR/antibody sequences. Benchmark tests demonstrate that Abalign achieves comparable or even better accuracy than state-of-the-art MSA tools, and shows remarkable advantages in terms of speed and memory consumption, reducing the time required for high-throughput analysis from weeks to hours. In addition to its alignment capabilities, Abalign offers a broad range of BCR analysis features, including extracting BCRs, constructing lineage trees, assigning VJ genes, analyzing clonotypes, profiling mutations, and comparing BCR immune repertoires. With its user-friendly graphic interface, Abalign can be easily run on personal computers instead of computing clusters. Overall, Abalign is an easy-to-use and effective tool that enables researchers to analyze massive BCR/antibody sequences, leading to new discoveries in the field of immunoinformatics. The software is freely available at http://cao.labshare.cn/abalign/. Oxford University Press 2023-05-19 /pmc/articles/PMC10320167/ /pubmed/37207341 http://dx.doi.org/10.1093/nar/gkad400 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Web Server Issue Zong, Fanjie Long, Chenyu Hu, Wanxin Chen, Shuang Dai, Wentao Xiao, Zhi-Xiong Cao, Yang Abalign: a comprehensive multiple sequence alignment platform for B-cell receptor immune repertoires |
title | Abalign: a comprehensive multiple sequence alignment platform for B-cell receptor immune repertoires |
title_full | Abalign: a comprehensive multiple sequence alignment platform for B-cell receptor immune repertoires |
title_fullStr | Abalign: a comprehensive multiple sequence alignment platform for B-cell receptor immune repertoires |
title_full_unstemmed | Abalign: a comprehensive multiple sequence alignment platform for B-cell receptor immune repertoires |
title_short | Abalign: a comprehensive multiple sequence alignment platform for B-cell receptor immune repertoires |
title_sort | abalign: a comprehensive multiple sequence alignment platform for b-cell receptor immune repertoires |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320167/ https://www.ncbi.nlm.nih.gov/pubmed/37207341 http://dx.doi.org/10.1093/nar/gkad400 |
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