A common representation, standardization, analysis for de novo sequencing results/cSavaş Takan; thesis advisor İsmail Sıtkı Aytaç.
Takan, Savaş.

A common representation, standardization, analysis for de novo sequencing results/cSavaş Takan; thesis advisor İsmail Sıtkı Aytaç.

Takan, Savaş.

Yazar Ek Girişi
Takan, Savaş.

Yayın Bilgileri
[s.l.]: [s.n.], 2012.

Fiziksel Tanımlama
xi, 50 leaves.: ill. + 1 computer laser optical disc.

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, there is no a general solution to store and share de novo sequencing results which diminishes the usefulness of these results. Hence, they need to be integrated and further analyzed and cannot be used directly as evidence for peptide identification and protein sequencing at present. In order to make improvements the field of de novo sequencing a standard is vitally important. In an attempt to overcome the standardization problem, the de novo markup language (DNML) and De Novo MS Ontology (DNMSO) are developed. These standards provide many-to-many relationships between spectra and predictions, exchange and merging functions, showing all results, PTMs, compact, no using proprietary formats. Next, a programming interface is developed since it is thought that the missing of proper APIs as another obstacle, introducing a needlessly high learning curve for developers. It is standard, compact, modular, easily extensible and also have read, write, create, convert, supports current standards facilities. In order to allow the experimental proteomics community to analyze data stored in the DNMSO standard, Graphical User Interface is developed , DNMSO Analyzer, to provide some facilities such as reading of various spectra file formats, reading, viewing, summarizing of DNMSO, and several conversions from existing de novo results to DNMSO in DNMSO Analyzer.

Konu Başlığı
Sequential processing (Computer science).
Proteomics -- Data processing.
Proteomics -- Statistical methods
Mass spectrometry -- Data processing.

Yazar Ek Girişi
Aytaç, İsmail Sıtkı.

Tüzel Kişi Ek Girişi
İzmir Institute of Technology.

Tek Biçim Eser Adı
Thesis (Master)--İzmir Institute of Technology: Computer Engineering.
İzmir Institute of Technology: Computer Engineering--Thesis (Master).

Elektronik Erişim
Access to Electronic Versiyon.

KütüphaneMateryal TürüDemirbaş NumarasıYer NumarasıDurumu/İade Tarihi
IYTETezT001088QA76.6 .T13 2012Tez Koleksiyonu