Please use this identifier to cite or link to this item:
https://hdl.handle.net/11147/5047
Title: | De novo markup language, a standard to represent de novo sequencing results from MS/MS data | Authors: | Takan, Savaş Allmer, Jens |
Keywords: | Database searches De novo sequencing Learning curves Proteins Proteomics |
Publisher: | Institute of Electrical and Electronics Engineers Inc. | Source: | Takan, S., and Allmer, J. (2012, April 19-22). De novo markup language, a standard to represent de novo sequencing results from MS/MS data. Paper presented at the 7th International Symposium on Health Informatics and Bioinformatics, HIBIT 2012. doi:10.1109/HIBIT.2012.6209038 | Abstract: | Proteomics is the study of the proteins that can be derived from a genome. For the identification and sequencing of proteins, mass spectrometry has become the tool of choice. Within mass spectrometry-based proteomics, proteins can be identified or sequenced by either database search or de novo sequencing. Both methods have certain advantages and drawbacks but in the long run we envision de novo sequencing to become the predominant tool. Currently, de novo sequencing results are stored in arbitrary file formats, depending on the developers of the algorithms. We identified this as a large and unnecessary obstacle while integrating results from multiple de novo sequencing algorithms. Therefore, we designed a standard file format for the representation of de novo sequencing results. We further developed an application programming interface since we identified the lack of proper APIs as another obstacle, introducing a needlessly high learning curve for developers. © 2012 IEEE. | Description: | 7th International Symposium on Health Informatics and Bioinformatics, HIBIT 2012; Cappadocia; Turkey; 19 April 2012 through 22 April 2012 | URI: | http://doi.org/10.1109/HIBIT.2012.6209038 http://hdl.handle.net/11147/5047 |
ISBN: | 9781467308786 |
Appears in Collections: | Computer Engineering / Bilgisayar Mühendisliği Molecular Biology and Genetics / Moleküler Biyoloji ve Genetik Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
Show full item record
CORE Recommender
SCOPUSTM
Citations
1
checked on Nov 23, 2024
Page view(s)
240
checked on Nov 18, 2024
Download(s)
228
checked on Nov 18, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.