Literature DB >> 27306858

BatMass: a Java Software Platform for LC-MS Data Visualization in Proteomics and Metabolomics.

Dmitry M Avtonomov1, Alexander Raskind1, Alexey I Nesvizhskii1.   

Abstract

Mass spectrometry (MS) coupled to liquid chromatography (LC) is a commonly used technique in metabolomic and proteomic research. As the size and complexity of LC-MS-based experiments grow, it becomes increasingly more difficult to perform quality control of both raw data and processing results. In a practical setting, quality control steps for raw LC-MS data are often overlooked, and assessment of an experiment's success is based on some derived metrics such as "the number of identified compounds". The human brain interprets visual data much better than plain text, hence the saying "a picture is worth a thousand words". Here, we present the BatMass software package, which allows for performing quick quality control of raw LC-MS data through its fast visualization capabilities. It also serves as a testbed for developers of LC-MS data processing algorithms by providing a data access library for open mass spectrometry file formats and a means of visually mapping processing results back to the original data. We illustrate the utility of BatMass with several use cases of quality control and data exploration.

Entities:  

Keywords:  Java; LC−MS; data visualization; mass spectrometry

Mesh:

Year:  2016        PMID: 27306858      PMCID: PMC5583644          DOI: 10.1021/acs.jproteome.6b00021

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


  35 in total

1.  XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification.

Authors:  Colin A Smith; Elizabeth J Want; Grace O'Maille; Ruben Abagyan; Gary Siuzdak
Journal:  Anal Chem       Date:  2006-02-01       Impact factor: 6.986

Review 2.  Comparative LC-MS: a landscape of peaks and valleys.

Authors:  Antoine H P America; Jan H G Cordewener
Journal:  Proteomics       Date:  2008-02       Impact factor: 3.984

3.  Metriculator: quality assessment for mass spectrometry-based proteomics.

Authors:  Ryan M Taylor; Jamison Dance; Russ J Taylor; John T Prince
Journal:  Bioinformatics       Date:  2013-09-02       Impact factor: 6.937

4.  Mass++: A Visualization and Analysis Tool for Mass Spectrometry.

Authors:  Satoshi Tanaka; Yuichiro Fujita; Howell E Parry; Akiyasu C Yoshizawa; Kentaro Morimoto; Masaki Murase; Yoshihiro Yamada; Jingwen Yao; Shin-Ichi Utsunomiya; Shigeki Kajihara; Mitsuru Fukuda; Masayuki Ikawa; Tsuyoshi Tabata; Kentaro Takahashi; Ken Aoshima; Yoshito Nihei; Takaaki Nishioka; Yoshiya Oda; Koichi Tanaka
Journal:  J Proteome Res       Date:  2014-07-07       Impact factor: 4.466

5.  Employing ProteoWizard to Convert Raw Mass Spectrometry Data.

Authors:  Jerry D Holman; David L Tabb; Parag Mallick
Journal:  Curr Protoc Bioinformatics       Date:  2014-06-17

6.  Metscape 2 bioinformatics tool for the analysis and visualization of metabolomics and gene expression data.

Authors:  Alla Karnovsky; Terry Weymouth; Tim Hull; V Glenn Tarcea; Giovanni Scardoni; Carlo Laudanna; Maureen A Sartor; Kathleen A Stringer; H V Jagadish; Charles Burant; Brian Athey; Gilbert S Omenn
Journal:  Bioinformatics       Date:  2011-11-30       Impact factor: 6.937

7.  qcML: an exchange format for quality control metrics from mass spectrometry experiments.

Authors:  Mathias Walzer; Lucia Espona Pernas; Sara Nasso; Wout Bittremieux; Sven Nahnsen; Pieter Kelchtermans; Peter Pichler; Henk W P van den Toorn; An Staes; Jonathan Vandenbussche; Michael Mazanek; Thomas Taus; Richard A Scheltema; Christian D Kelstrup; Laurent Gatto; Bas van Breukelen; Stephan Aiche; Dirk Valkenborg; Kris Laukens; Kathryn S Lilley; Jesper V Olsen; Albert J R Heck; Karl Mechtler; Ruedi Aebersold; Kris Gevaert; Juan Antonio Vizcaíno; Henning Hermjakob; Oliver Kohlbacher; Lennart Martens
Journal:  Mol Cell Proteomics       Date:  2014-04-23       Impact factor: 5.911

Review 8.  Bioinformatics: the next frontier of metabolomics.

Authors:  Caroline H Johnson; Julijana Ivanisevic; H Paul Benton; Gary Siuzdak
Journal:  Anal Chem       Date:  2014-11-20       Impact factor: 6.986

9.  MS-DIAL: data-independent MS/MS deconvolution for comprehensive metabolome analysis.

Authors:  Hiroshi Tsugawa; Tomas Cajka; Tobias Kind; Yan Ma; Brendan Higgins; Kazutaka Ikeda; Mitsuhiro Kanazawa; Jean VanderGheynst; Oliver Fiehn; Masanori Arita
Journal:  Nat Methods       Date:  2015-05-04       Impact factor: 28.547

Review 10.  Applications of targeted proteomics in systems biology and translational medicine.

Authors:  H Alexander Ebhardt; Alex Root; Chris Sander; Ruedi Aebersold
Journal:  Proteomics       Date:  2015-07-16       Impact factor: 3.984

View more
  9 in total

1.  ProteomicsBrowser: MS/proteomics data visualization and investigation.

Authors:  Gang Peng; Rashaun Wilson; Yishuo Tang; TuKiet T Lam; Angus C Nairn; Kenneth Williams; Hongyu Zhao
Journal:  Bioinformatics       Date:  2019-07-01       Impact factor: 6.937

2.  psims - A Declarative Writer for mzML and mzIdentML for Python.

Authors:  Joshua Klein; Joseph Zaia
Journal:  Mol Cell Proteomics       Date:  2018-12-18       Impact factor: 5.911

3.  PDV: an integrative proteomics data viewer.

Authors:  Kai Li; Marc Vaudel; Bing Zhang; Yan Ren; Bo Wen
Journal:  Bioinformatics       Date:  2019-04-01       Impact factor: 6.937

4.  TopMSV: A Web-Based Tool for Top-Down Mass Spectrometry Data Visualization.

Authors:  In Kwon Choi; Tianze Jiang; Sreekanth Reddy Kankara; Si Wu; Xiaowen Liu
Journal:  J Am Soc Mass Spectrom       Date:  2021-03-29       Impact factor: 3.262

5.  MathIOmica-MSViewer: a dynamic viewer for mass spectrometry files for Mathematica.

Authors:  R Roushangar; G I Mias
Journal:  J Mass Spectrom       Date:  2017-05       Impact factor: 1.982

6.  MSFragger: ultrafast and comprehensive peptide identification in mass spectrometry-based proteomics.

Authors:  Andy T Kong; Felipe V Leprevost; Dmitry M Avtonomov; Dattatreya Mellacheruvu; Alexey I Nesvizhskii
Journal:  Nat Methods       Date:  2017-04-10       Impact factor: 28.547

Review 7.  From chromatogram to analyte to metabolite. How to pick horses for courses from the massive web resources for mass spectral plant metabolomics.

Authors:  Leonardo Perez de Souza; Thomas Naake; Takayuki Tohge; Alisdair R Fernie
Journal:  Gigascience       Date:  2017-07-01       Impact factor: 6.524

8.  Fast Quantitative Analysis of timsTOF PASEF Data with MSFragger and IonQuant.

Authors:  Fengchao Yu; Sarah E Haynes; Guo Ci Teo; Dmitry M Avtonomov; Daniel A Polasky; Alexey I Nesvizhskii
Journal:  Mol Cell Proteomics       Date:  2020-07-02       Impact factor: 5.911

9.  mzStudio: A Dynamic Digital Canvas for User-Driven Interrogation of Mass Spectrometry Data.

Authors:  Scott B Ficarro; William M Alexander; Jarrod A Marto
Journal:  Proteomes       Date:  2017-08-01
  9 in total

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