Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/5047
Full metadata record
DC FieldValueLanguage
dc.contributor.authorTakan, Savaş-
dc.contributor.authorAllmer, Jens-
dc.date.accessioned2017-03-14T10:16:30Z-
dc.date.available2017-03-14T10:16:30Z-
dc.date.issued2012-
dc.identifier.citationTakan, 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.2012.6209038en_US
dc.identifier.isbn9781467308786-
dc.identifier.urihttp://doi.org/10.1109/HIBIT.2012.6209038-
dc.identifier.urihttp://hdl.handle.net/11147/5047-
dc.description7th International Symposium on Health Informatics and Bioinformatics, HIBIT 2012; Cappadocia; Turkey; 19 April 2012 through 22 April 2012en_US
dc.description.abstractProteomics 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.en_US
dc.description.sponsorshipTurkish Academy of Sciencesen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof7th International Symposium on Health Informatics and Bioinformatics, HIBIT 2012en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectDatabase searchesen_US
dc.subjectDe novo sequencingen_US
dc.subjectLearning curvesen_US
dc.subjectProteinsen_US
dc.subjectProteomicsen_US
dc.titleDe novo markup language, a standard to represent de novo sequencing results from MS/MS dataen_US
dc.typeConference Objecten_US
dc.authoridTR126583en_US
dc.authoridTR107974en_US
dc.institutionauthorTakan, Savaş-
dc.institutionauthorAllmer, Jens-
dc.departmentİzmir Institute of Technology. Computer Engineeringen_US
dc.identifier.startpage31en_US
dc.identifier.endpage36en_US
dc.identifier.scopus2-s2.0-84862729441en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1109/HIBIT.2012.6209038-
dc.relation.doi10.1109/HIBIT.2012.6209038en_US
dc.coverage.doi10.1109/HIBIT.2012.6209038en_US
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.openairetypeConference Object-
crisitem.author.dept03.04. Department of Computer Engineering-
crisitem.author.dept04.03. Department of Molecular Biology and Genetics-
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Molecular Biology and Genetics / Moleküler Biyoloji ve Genetik
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Files in This Item:
File Description SizeFormat 
5047.pdfConference Paper289.66 kBAdobe PDFThumbnail
View/Open
Show simple item record



CORE Recommender

SCOPUSTM   
Citations

1
checked on Jun 7, 2024

Page view(s)

166
checked on Jun 10, 2024

Download(s)

200
checked on Jun 10, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.