XMAn v2—a database of Homo sapiens mutated peptides

Author:

Flores Marcela Aguilera1,Lazar Iulia M2

Affiliation:

1. Genomics, Bioinformatics and Computational Biology, USA

2. Department of Biological Sciences, Virginia Tech, Blacksburg, VA 24061, USA

Abstract

Abstract Summary The ‘Unknown Mutation Analysis (XMAn)’ database is a compilation of Homo sapiens mutated peptides in FASTA format, that was constructed for facilitating the identification of protein sequence alterations by tandem mass spectrometry detection. The database comprises 2 539 031 non-redundant mutated entries from 17 599 proteins, of which 2 377 103 are missense and 161 928 are nonsense mutations. It can be used in conjunction with search engines that seek the identification of peptide amino acid sequences by matching experimental tandem mass spectrometry data to theoretical sequences from a database. Availability and implementation XMAn v2 can be accessed from github.com/lazarlab/XMAnv2. Supplementary information Supplementary data are available at Bioinformatics online.

Funder

National Institute of General Medical Sciences

NIH

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference14 articles.

1. The COSMIC (Catalogue of Somatic Mutations in Cancer) database and website;Bamford;Br. J. Cancer,2004

2. dbSAP: single amino-acid polymorphism database for protein variation detection;Cao;Nucleic Acids Res,2017

3. Scalable open science approach for mutation calling of tumor exomes using multiple genomic pipelines;Ellrott;Cell Syst,2018

4. COSMIC: high-resolution cancer genetics using the Catalogue of Somatic Mutations in Cancer;Forbes;Nucleic Acids Res,2017

5. HuVarBase: a human variant database with comprehensive information at gene and protein levels;Ganesan;PLoS One,2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3