Review for &#34;Aom 2 S: a new Web‐based application for DNA/RNA tandem mass spectrometry data interpretation&#34;

Data Interpretation ◽

Mass Spectrometry Data ◽

Tandem Mass ◽

Web Based ◽

Author response for "Aom 2 S: a new Web‐based application for DNA/RNA tandem mass spectrometry data interpretation"

10.1002/rcm.8927/v2/response1 ◽

2020 ◽

Author(s):

Daniel Ortiz ◽

Natalia Gasilova ◽

Francisco Sepulveda ◽

Luc Patiny ◽

Paul J. Dyson ◽

...

Keyword(s):

Mass Spectrometry ◽

Data Interpretation ◽

Mass Spectrometry Data ◽

Author Response ◽

Tandem Mass ◽

Web Based ◽

Decision letter for "Aom 2 S: a new Web‐based application for DNA/RNA tandem mass spectrometry data interpretation"

10.1002/rcm.8927/v1/decision1 ◽

2020 ◽

Keyword(s):

Mass Spectrometry ◽

Data Interpretation ◽

Mass Spectrometry Data ◽

Tandem Mass ◽

Web Based ◽

Aom 2 S: A new web‐based application for DNA/RNA tandem mass spectrometry data interpretation

Rapid Communications in Mass Spectrometry ◽

10.1002/rcm.8927 ◽

2020 ◽

Vol 34 (23) ◽

Author(s):

Daniel Ortiz ◽

Natalia Gasilova ◽

Francisco Sepulveda ◽

Luc Patiny ◽

Paul J. Dyson ◽

...

Keyword(s):

Mass Spectrometry ◽

Data Interpretation ◽

Mass Spectrometry Data ◽

Tandem Mass ◽

Web Based ◽

Decision letter for "Aom 2 S: a new Web‐based application for DNA/RNA tandem mass spectrometry data interpretation"

10.1002/rcm.8927/v2/decision1 ◽

2020 ◽

Keyword(s):

Mass Spectrometry ◽

Data Interpretation ◽

Mass Spectrometry Data ◽

Tandem Mass ◽

Web Based ◽

Review for "Aom 2 S: a new Web‐based application for DNA/RNA tandem mass spectrometry data interpretation"

10.1002/rcm.8927/v1/review2 ◽

2020 ◽

Keyword(s):

Mass Spectrometry ◽

Data Interpretation ◽

Mass Spectrometry Data ◽

Tandem Mass ◽

Web Based ◽

Review for "Aom 2 S: a new Web‐based application for DNA/RNA tandem mass spectrometry data interpretation"

10.1002/rcm.8927/v1/review1 ◽

2020 ◽

Author(s):

Valérie Gabelica

Keyword(s):

Mass Spectrometry ◽

Data Interpretation ◽

Mass Spectrometry Data ◽

Tandem Mass ◽

Web Based ◽

PROTEOTYPING OF MICROBIAL COMMUNITIES BY OPTIMIZATION OF TANDEM MASS SPECTROMETRY DATA INTERPRETATION

Biocomputing 2012 ◽

10.1142/9789814366496_0022 ◽

2011 ◽

Author(s):

ALYS HUGO ◽

DOUGLAS J. BAXTER ◽

WILLIAM R. CANNON ◽

ANANTH KALYANARAMAN ◽

GAURAV KULKARNI ◽

...

Keyword(s):

Mass Spectrometry ◽

Microbial Communities ◽

Data Interpretation ◽

Mass Spectrometry Data ◽

Tandem Mass ◽

Proceedings. 2004 IEEE Computational Systems Bioinformatics Conference, 2004. CSB 2004. ◽

Separation of ion types in tandem mass spectrometry data interpretation --a graph-theoretic approach

10.1109/csb.2004.1332437 ◽

2004 ◽

Author(s):

Bo Yan ◽

Chongle Pan ◽

V.N. Olman ◽

R.L. Hettich ◽

Ying Xu

Keyword(s):

Mass Spectrometry ◽

Data Interpretation ◽

Mass Spectrometry Data ◽

Tandem Mass ◽

Theoretic Approach ◽

Graph Theoretic ◽

Graph Theoretic Approach ◽

Deep Convolutional Neural Networks Help Scoring Tandem Mass Spectrometry Data in Database-Searching Approaches

Journal of Proteome Research ◽

10.1021/acs.jproteome.1c00315 ◽

2021 ◽

Vol 20 (10) ◽

pp. 4708-4717

Author(s):

Polina Kudriavtseva ◽

Matvey Kashkinov ◽

Attila Kertész-Farkas

Keyword(s):

Mass Spectrometry ◽

Neural Networks ◽

Convolutional Neural Networks ◽

Mass Spectrometry Data ◽

Database Searching ◽

Tandem Mass ◽

Deep Convolutional Neural Networks ◽

Protein Identification with Tandem Mass Spectrometry Data

Introduction to Proteomics ◽

10.1385/1-59259-130-2:099 ◽

2003 ◽

pp. 099-108

Author(s):

Daniel C. Liebler

Keyword(s):

Mass Spectrometry ◽

Protein Identification ◽

Mass Spectrometry Data ◽

Tandem Mass ◽