De Novo Markup Language, a Standard To Represent De Novo Sequencing Results From Ms/Ms Data
| dc.contributor.author | Takan, Savaş | |
| dc.contributor.author | Allmer, Jens | |
| dc.coverage.doi | 10.1109/HIBIT.2012.6209038 | |
| dc.date.accessioned | 2017-03-14T10:16:30Z | |
| dc.date.available | 2017-03-14T10:16:30Z | |
| dc.date.issued | 2012 | |
| dc.description | 7th International Symposium on Health Informatics and Bioinformatics, HIBIT 2012; Cappadocia; Turkey; 19 April 2012 through 22 April 2012 | en_US |
| dc.description.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. | en_US |
| dc.description.sponsorship | Turkish Academy of Sciences | en_US |
| dc.identifier.citation | 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 | en_US |
| dc.identifier.doi | 10.1109/HIBIT.2012.6209038 | en_US |
| dc.identifier.doi | 10.1109/HIBIT.2012.6209038 | |
| dc.identifier.isbn | 9781467308786 | |
| dc.identifier.scopus | 2-s2.0-84862729441 | |
| dc.identifier.uri | http://doi.org/10.1109/HIBIT.2012.6209038 | |
| dc.identifier.uri | https://hdl.handle.net/11147/5047 | |
| dc.language.iso | en | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.ispartof | 7th International Symposium on Health Informatics and Bioinformatics, HIBIT 2012 | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | Database searches | en_US |
| dc.subject | De novo sequencing | en_US |
| dc.subject | Learning curves | en_US |
| dc.subject | Proteins | en_US |
| dc.subject | Proteomics | en_US |
| dc.title | De Novo Markup Language, a Standard To Represent De Novo Sequencing Results From Ms/Ms Data | en_US |
| dc.type | Conference Object | en_US |
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| gdc.author.institutional | Takan, Savaş | |
| gdc.author.institutional | Allmer, Jens | |
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| gdc.description.department | İzmir Institute of Technology. Computer Engineering | en_US |
| gdc.description.endpage | 36 | en_US |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | N/A | |
| gdc.description.startpage | 31 | en_US |
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| gdc.oaire.keywords | Proteomics | |
| gdc.oaire.keywords | Proteins | |
| gdc.oaire.keywords | Learning curves | |
| gdc.oaire.keywords | Database searches | |
| gdc.oaire.keywords | De novo sequencing | |
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| gdc.oaire.sciencefields | 0301 basic medicine | |
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