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  Computational proteomics pitfalls and challenges: HavanaBioinfo 2012 Workshop report

Perez-Riverol, Y., Hermjakob, H., Kohlbacher, O., Martens, L., Creasy, D., Cox, J., et al. (2013). Computational proteomics pitfalls and challenges: HavanaBioinfo 2012 Workshop report. JOURNAL OF PROTEOMICS, 87, 134-138. doi:10.1016/j.jprot.2013.01.019.

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Perez-Riverol, Yasset1, Author
Hermjakob, Henning1, Author
Kohlbacher, Oliver1, Author
Martens, Lennart1, Author
Creasy, David1, Author
Cox, Jürgen2, Author           
Leprevost, Felipe1, Author
Shan, Baozhen Paul1, Author
Perez-Nueno, Violeta I.1, Author
Blazejczyk, Michal1, Author
Punta, Marco1, Author
Vierlinger, Klemens1, Author
Valienten, Pedro A.1, Author
Leon, Kalet1, Author
Chinea, Glay1, Author
Guirola, Osmany1, Author
Bringas, Ricardo1, Author
Cabrera, Gleysin1, Author
Guillen, Gerardo1, Author
Padron, Gabriel1, Author
Javier Gonzalez, Luis1, AuthorBesada, Vladimir1, Author more..
Affiliations:
1external, ou_persistent22              
2Mann, Matthias / Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Max Planck Society, ou_1565159              

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Free keywords: OPEN-SOURCE LIBRARY; MASS-SPECTROMETRY DATA; SOURCE JAVA LIBRARY; PEPTIDE IDENTIFICATION; PROTEOMEXCHANGE CONSORTIUM; PROTEIN IDENTIFICATION; TOOL; DATABASE; MS/MS; PARSEBioinformatics workshop; Mass spectrometry; Course; Protein identification; Database searching; Proteomic repositories;
 Abstract: The workshop "Bioinformatics for Biotechnology Applications (HavanaBioinfo 2012)", held December 8-11, 2012 in Havana, aimed at exploring new bioinformatics tools and approaches for large-scale proteomics, genomics and chemoinformatics. Major conclusions of the workshop include the following: (i) development of new applications and bioinformatics tools for proteomic repository analysis is crucial; current proteomic repositories contain enough data (spectra/identifications) that can be used to increase the annotations in protein databases and to generate new tools for protein identification; (ii) spectral libraries, de novo sequencing and database search tools should be combined to increase the number of protein identifications; (iii) protein probabilities and FDR are not yet sufficiently mature; (iv) computational proteomics software needs to become more intuitive; and at the same time appropriate education and training should be provided to help in the efficient exchange of knowledge between mass spectrometrists and experimental biologists and bioinformaticians in order to increase their bioinforrnatics background, especially statistics knowledge. (c) 2013 Elsevier B.V. All rights reserved.

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Language(s): eng - English
 Dates: 2013
 Publication Status: Issued
 Pages: 5
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

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Title: JOURNAL OF PROTEOMICS
Source Genre: Journal
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Publ. Info: PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS : ELSEVIER SCIENCE BV
Pages: - Volume / Issue: 87 Sequence Number: - Start / End Page: 134 - 138 Identifier: ISSN: 1874-3919