FastProtein-an automated software for in silico proteomic analysis.

IF 2.4 3区 生物学 Q2 MULTIDISCIPLINARY SCIENCES PeerJ Pub Date : 2024-10-31 eCollection Date: 2024-01-01 DOI:10.7717/peerj.18309
Renato Simões Moreira, Vilmar Benetti Filho, Guilherme Augusto Maia, Tatiany Aparecida Teixeira Soratto, Eric Kazuo Kawagoe, Bruna Caroline Russi, Luiz Cláudio Miletti, Glauber Wagner
{"title":"FastProtein-an automated software for <i>in silico</i> proteomic analysis.","authors":"Renato Simões Moreira, Vilmar Benetti Filho, Guilherme Augusto Maia, Tatiany Aparecida Teixeira Soratto, Eric Kazuo Kawagoe, Bruna Caroline Russi, Luiz Cláudio Miletti, Glauber Wagner","doi":"10.7717/peerj.18309","DOIUrl":null,"url":null,"abstract":"<p><p>Although various tools provide proteomic information, each tool has limitations related to execution platforms, libraries, versions, and data output format. Integrating data generated from different software is a laborious process that can prolong analysis time. Here, we present FastProtein, a protein analysis pipeline that is user-friendly, easily installable, and outputs important information about subcellular location, transmembrane domains, signal peptide, molecular weight, isoelectric point, hydropathy, aromaticity, gene ontology, endoplasmic reticulum retention domains, and N-glycosylation domains. It also helps determine the presence of glycosylphosphatidylinositol and obtain functional information from InterProScan, PANTHER, Pfam, and alignment-based annotation searches. FastProtein provides the scientific community with an easy-to-use computational tool for proteomic data analysis. It is applicable to both small datasets and proteome-wide studies. It can be used through the command line interface mode or a web interface installed on a local server. FastProtein significantly enhances proteomics analysis workflows by producing multiple results in a single-step process, thereby streamlining and accelerating the overall analysis. The software is open-source and freely available. Installation and execution instructions, as well as the source code and test files generated for tool validation, are available at https://github.com/bioinformatics-ufsc/FastProtein.</p>","PeriodicalId":19799,"journal":{"name":"PeerJ","volume":"12 ","pages":"e18309"},"PeriodicalIF":2.4000,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11531748/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PeerJ","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.7717/peerj.18309","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Although various tools provide proteomic information, each tool has limitations related to execution platforms, libraries, versions, and data output format. Integrating data generated from different software is a laborious process that can prolong analysis time. Here, we present FastProtein, a protein analysis pipeline that is user-friendly, easily installable, and outputs important information about subcellular location, transmembrane domains, signal peptide, molecular weight, isoelectric point, hydropathy, aromaticity, gene ontology, endoplasmic reticulum retention domains, and N-glycosylation domains. It also helps determine the presence of glycosylphosphatidylinositol and obtain functional information from InterProScan, PANTHER, Pfam, and alignment-based annotation searches. FastProtein provides the scientific community with an easy-to-use computational tool for proteomic data analysis. It is applicable to both small datasets and proteome-wide studies. It can be used through the command line interface mode or a web interface installed on a local server. FastProtein significantly enhances proteomics analysis workflows by producing multiple results in a single-step process, thereby streamlining and accelerating the overall analysis. The software is open-source and freely available. Installation and execution instructions, as well as the source code and test files generated for tool validation, are available at https://github.com/bioinformatics-ufsc/FastProtein.

Abstract Image

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
FastProtein--一种用于硅学蛋白质组分析的自动化软件。
虽然各种工具都能提供蛋白质组信息,但每种工具都有与执行平台、库、版本和数据输出格式有关的局限性。整合不同软件生成的数据是一个费力的过程,会延长分析时间。在此,我们介绍一种用户友好、易于安装的蛋白质分析管道--FastProtein,它能输出有关亚细胞位置、跨膜结构域、信号肽、分子量、等电点、水电解质、芳香度、基因本体、内质网保留结构域和 N-糖基化结构域的重要信息。它还有助于确定糖基磷脂酰肌醇的存在,并从 InterProScan、PANTHER、Pfam 和基于比对的注释搜索中获取功能信息。FastProtein 为科学界提供了一种易于使用的蛋白质组数据分析计算工具。它既适用于小型数据集,也适用于全蛋白质组研究。它可以通过命令行界面模式或安装在本地服务器上的网络界面使用。FastProtein 能在一个步骤中产生多个结果,从而简化和加速整体分析,极大地增强了蛋白质组学分析工作流程。该软件开源并免费提供。安装和执行说明以及源代码和为工具验证生成的测试文件可在 https://github.com/bioinformatics-ufsc/FastProtein 网站上获取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
PeerJ
PeerJ MULTIDISCIPLINARY SCIENCES-
CiteScore
4.70
自引率
3.70%
发文量
1665
审稿时长
10 weeks
期刊介绍: PeerJ is an open access peer-reviewed scientific journal covering research in the biological and medical sciences. At PeerJ, authors take out a lifetime publication plan (for as little as $99) which allows them to publish articles in the journal for free, forever. PeerJ has 5 Nobel Prize Winners on the Board; they have won several industry and media awards; and they are widely recognized as being one of the most interesting recent developments in academic publishing.
期刊最新文献
Effects of an 8-week unstable core training on trunk muscle strength and sprint performance among kayakers. Clinical efficacy analysis of high-intensity focused ultrasound ablation in treating fibroadenomas of different breast gland types: a retrospective study. Aequatobolbus, a new South American genus of Bolboceratinae (Coleoptera: Scarabaeoidea: Bolboceratidae) from Ecuador. Comparative analysis of cervical spine pain and mobility in car versus motorbike drivers: a cross-sectional study. Association between sperm DNA fragmentation index and spontaneous miscarriage following IVF-ET: a retrospective analysis.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1