Literature DB >> 23614390

Peppy: proteogenomic search software.

Brian A Risk1, Wendy J Spitzer, Morgan C Giddings.   

Abstract

Proteogenomic searching is a useful method for identifying novel proteins, annotating genes and detecting peptides unique to an individual genome. The approach, however, can be laborious, as it often requires search segmentation and the use of several unintegrated tools. Furthermore, many proteogenomic efforts have been limited to small genomes, as large genomes can prove impractical due to the required amount of computer memory and computation time. We present Peppy, a software tool designed to perform every necessary task of proteogenomic searches quickly, accurately and automatically. The software generates a peptide database from a genome, tracks peptide loci, matches peptides to MS/MS spectra and assigns confidence values to those matches. Peppy automatically performs a decoy database generation, search and analysis to return identifications at the desired false discovery rate threshold. Written in Java for cross-platform execution, the software is fully multithreaded for enhanced speed. The program can run on regular desktop computers, opening the doors of proteogenomic searching to a wider audience of proteomics and genomics researchers. Peppy is available at http://geneffects.com/peppy .

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Year:  2013        PMID: 23614390      PMCID: PMC4117251          DOI: 10.1021/pr400208w

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  36 in total

1.  SCOPE: a probabilistic model for scoring tandem mass spectra against a peptide database.

Authors:  V Bafna; N Edwards
Journal:  Bioinformatics       Date:  2001       Impact factor: 6.937

2.  Mass spectrum sequential subtraction speeds up searching large peptide MS/MS spectra datasets against large nucleotide databases for proteogenomics.

Authors:  Mohamed Helmy; Naoyuki Sugiyama; Masaru Tomita; Yasushi Ishihama
Journal:  Genes Cells       Date:  2012-06-12       Impact factor: 1.891

3.  MASPIC: intensity-based tandem mass spectrometry scoring scheme that improves peptide identification at high confidence.

Authors:  Chandrasegaran Narasimhan; David L Tabb; Nathan C Verberkmoes; Melissa R Thompson; Robert L Hettich; Edward C Uberbacher
Journal:  Anal Chem       Date:  2005-12-01       Impact factor: 6.986

4.  MyriMatch: highly accurate tandem mass spectral peptide identification by multivariate hypergeometric analysis.

Authors:  David L Tabb; Christopher G Fernando; Matthew C Chambers
Journal:  J Proteome Res       Date:  2007-02       Impact factor: 4.466

Review 5.  Proteogenomics.

Authors:  Santosh Renuse; Raghothama Chaerkady; Akhilesh Pandey
Journal:  Proteomics       Date:  2011-01-18       Impact factor: 3.984

Review 6.  Proteomic applications for the early detection of cancer.

Authors:  Julia D Wulfkuhle; Lance A Liotta; Emanuel F Petricoin
Journal:  Nat Rev Cancer       Date:  2003-04       Impact factor: 60.716

7.  Discovery and revision of Arabidopsis genes by proteogenomics.

Authors:  Natalie E Castellana; Samuel H Payne; Zhouxin Shen; Mario Stanke; Vineet Bafna; Steven P Briggs
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-19       Impact factor: 11.205

8.  A proteogenomic update to Yersinia: enhancing genome annotation.

Authors:  Samuel H Payne; Shih-Ting Huang; Rembert Pieper
Journal:  BMC Genomics       Date:  2010-08-05       Impact factor: 3.969

9.  Composition-based statistics and translated nucleotide searches: improving the TBLASTN module of BLAST.

Authors:  E Michael Gertz; Yi-Kuo Yu; Richa Agarwala; Alejandro A Schäffer; Stephen F Altschul
Journal:  BMC Biol       Date:  2006-12-07       Impact factor: 7.431

10.  Whole human genome proteogenomic mapping for ENCODE cell line data: identifying protein-coding regions.

Authors:  Jainab Khatun; Yanbao Yu; John A Wrobel; Brian A Risk; Harsha P Gunawardena; Ashley Secrest; Wendy J Spitzer; Ling Xie; Li Wang; Xian Chen; Morgan C Giddings
Journal:  BMC Genomics       Date:  2013-02-28       Impact factor: 3.969

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  26 in total

1.  GAPP: A Proteogenomic Software for Genome Annotation and Global Profiling of Post-translational Modifications in Prokaryotes.

Authors:  Jia Zhang; Ming-Kun Yang; Honghui Zeng; Feng Ge
Journal:  Mol Cell Proteomics       Date:  2016-09-14       Impact factor: 5.911

2.  JUMPg: An Integrative Proteogenomics Pipeline Identifying Unannotated Proteins in Human Brain and Cancer Cells.

Authors:  Yuxin Li; Xusheng Wang; Ji-Hoon Cho; Timothy I Shaw; Zhiping Wu; Bing Bai; Hong Wang; Suiping Zhou; Thomas G Beach; Gang Wu; Jinghui Zhang; Junmin Peng
Journal:  J Proteome Res       Date:  2016-06-13       Impact factor: 4.466

3.  Integrating Next-Generation Genomic Sequencing and Mass Spectrometry To Estimate Allele-Specific Protein Abundance in Human Brain.

Authors:  Thomas S Wingo; Duc M Duong; Maotian Zhou; Eric B Dammer; Hao Wu; David J Cutler; James J Lah; Allan I Levey; Nicholas T Seyfried
Journal:  J Proteome Res       Date:  2017-08-09       Impact factor: 4.466

4.  The SEQUEST family tree.

Authors:  David L Tabb
Journal:  J Am Soc Mass Spectrom       Date:  2015-06-30       Impact factor: 3.109

5.  An Accessible Proteogenomics Informatics Resource for Cancer Researchers.

Authors:  Matthew C Chambers; Pratik D Jagtap; James E Johnson; Thomas McGowan; Praveen Kumar; Getiria Onsongo; Candace R Guerrero; Harald Barsnes; Marc Vaudel; Lennart Martens; Björn Grüning; Ira R Cooke; Mohammad Heydarian; Karen L Reddy; Timothy J Griffin
Journal:  Cancer Res       Date:  2017-11-01       Impact factor: 12.701

6.  Onco-proteogenomics: cancer proteomics joins forces with genomics.

Authors:  Javier A Alfaro; Ankit Sinha; Thomas Kislinger; Paul C Boutros
Journal:  Nat Methods       Date:  2014-11       Impact factor: 28.547

7.  Metrics for the Human Proteome Project 2013-2014 and strategies for finding missing proteins.

Authors:  Lydie Lane; Amos Bairoch; Ronald C Beavis; Eric W Deutsch; Pascale Gaudet; Emma Lundberg; Gilbert S Omenn
Journal:  J Proteome Res       Date:  2013-12-23       Impact factor: 4.466

8.  A peptide-spectrum scoring system based on ion alignment, intensity, and pair probabilities.

Authors:  Brian A Risk; Nathan J Edwards; Morgan C Giddings
Journal:  J Proteome Res       Date:  2013-08-08       Impact factor: 4.466

9.  Integrated Transcriptomic-Proteomic Analysis Using a Proteogenomic Workflow Refines Rat Genome Annotation.

Authors:  Dhirendra Kumar; Amit Kumar Yadav; Xinying Jia; Jason Mulvenna; Debasis Dash
Journal:  Mol Cell Proteomics       Date:  2015-11-11       Impact factor: 5.911

Review 10.  Proteogenomics from a bioinformatics angle: A growing field.

Authors:  Gerben Menschaert; David Fenyö
Journal:  Mass Spectrom Rev       Date:  2015-12-15       Impact factor: 10.946

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