Literature DB >> 25951428

IPeak: An open source tool to combine results from multiple MS/MS search engines.

Bo Wen1,2, Chaoqin Du1, Guilin Li1, Fawaz Ghali3, Andrew R Jones3, Lukas Käll4,5, Shaohang Xu1, Ruo Zhou1, Zhe Ren1, Qiang Feng1,6, Xun Xu1, Jun Wang1,6,7,8,9.   

Abstract

Liquid chromatography coupled tandem mass spectrometry (LC-MS/MS) is an important technique for detecting peptides in proteomics studies. Here, we present an open source software tool, termed IPeak, a peptide identification pipeline that is designed to combine the Percolator post-processing algorithm and multi-search strategy to enhance the sensitivity of peptide identifications without compromising accuracy. IPeak provides a graphical user interface (GUI) as well as a command-line interface, which is implemented in JAVA and can work on all three major operating system platforms: Windows, Linux/Unix and OS X. IPeak has been designed to work with the mzIdentML standard from the Proteomics Standards Initiative (PSI) as an input and output, and also been fully integrated into the associated mzidLibrary project, providing access to the overall pipeline, as well as modules for calling Percolator on individual search engine result files. The integration thus enables IPeak (and Percolator) to be used in conjunction with any software packages implementing the mzIdentML data standard. IPeak is freely available and can be downloaded under an Apache 2.0 license at https://code.google.com/p/mzidentml-lib/.
© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Keywords:  Bioinformatics; Mass spectrometry; Peptide identification; Shotgun proteomics

Mesh:

Substances:

Year:  2015        PMID: 25951428     DOI: 10.1002/pmic.201400208

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  9 in total

1.  Proteogenomic Analysis of Human Colon Cancer Reveals New Therapeutic Opportunities.

Authors:  Suhas Vasaikar; Chen Huang; Xiaojing Wang; Vladislav A Petyuk; Sara R Savage; Bo Wen; Yongchao Dou; Yun Zhang; Zhiao Shi; Osama A Arshad; Marina A Gritsenko; Lisa J Zimmerman; Jason E McDermott; Therese R Clauss; Ronald J Moore; Rui Zhao; Matthew E Monroe; Yi-Ting Wang; Matthew C Chambers; Robbert J C Slebos; Ken S Lau; Qianxing Mo; Li Ding; Matthew Ellis; Mathangi Thiagarajan; Christopher R Kinsinger; Henry Rodriguez; Richard D Smith; Karin D Rodland; Daniel C Liebler; Tao Liu; Bing Zhang
Journal:  Cell       Date:  2019-04-25       Impact factor: 41.582

2.  Speeding Up Percolator.

Authors:  John T Halloran; Hantian Zhang; Kaan Kara; Cédric Renggli; Matthew The; Ce Zhang; David M Rocke; Lukas Käll; William Stafford Noble
Journal:  J Proteome Res       Date:  2019-08-23       Impact factor: 4.466

3.  Integrated Proteomic and Transcriptomic Analysis Reveals Long Noncoding RNA HOX Transcript Antisense Intergenic RNA (HOTAIR) Promotes Hepatocellular Carcinoma Cell Proliferation by Regulating Opioid Growth Factor Receptor (OGFr).

Authors:  Ying Wu; Qian Xiong; Siting Li; Xue Yang; Feng Ge
Journal:  Mol Cell Proteomics       Date:  2017-10-27       Impact factor: 5.911

4.  PGA: an R/Bioconductor package for identification of novel peptides using a customized database derived from RNA-Seq.

Authors:  Bo Wen; Shaohang Xu; Ruo Zhou; Bing Zhang; Xiaojing Wang; Xin Liu; Xun Xu; Siqi Liu
Journal:  BMC Bioinformatics       Date:  2016-06-17       Impact factor: 3.169

5.  Improvement of peptide identification with considering the abundance of mRNA and peptide.

Authors:  Chunwei Ma; Shaohang Xu; Geng Liu; Xin Liu; Xun Xu; Bo Wen; Siqi Liu
Journal:  BMC Bioinformatics       Date:  2017-02-16       Impact factor: 3.169

6.  Effects of DISC1 on Alzheimer's disease cell models assessed by iTRAQ proteomics analysis.

Authors:  Jiajie Lu; Rihong Huang; Yuecheng Peng; Haojian Wang; Zejia Feng; Yongyang Fan; Zhaorong Zeng; Yezhong Wang; Jiana Wei; Zhaotao Wang
Journal:  Biosci Rep       Date:  2022-01-28       Impact factor: 3.840

7.  Proteomic Analysis of the Alterations in Follicular Fluid Proteins During Oocyte Maturation in Humans.

Authors:  Chong Wang; Xiaoyang Fei; Hongyan Zhang; Wenjing Zhou; Zhaojun Cheng; Ying Feng
Journal:  Front Endocrinol (Lausanne)       Date:  2022-02-03       Impact factor: 5.555

8.  Metaexoproteomics Reveals Microbial Behavior in the Ocean's Interior.

Authors:  Zhang-Xian Xie; Yan-Bin He; Shu-Feng Zhang; Lin Lin; Ming-Hua Wang; Da-Zhi Wang
Journal:  Front Microbiol       Date:  2022-02-16       Impact factor: 5.640

9.  Improvements to the Rice Genome Annotation Through Large-Scale Analysis of RNA-Seq and Proteomics Data Sets.

Authors:  Zhe Ren; Da Qi; Nina Pugh; Kai Li; Bo Wen; Ruo Zhou; Shaohang Xu; Siqi Liu; Andrew R Jones
Journal:  Mol Cell Proteomics       Date:  2018-10-06       Impact factor: 5.911

  9 in total

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