Title :
De novo markup language, a standard to represent de novo sequencing results from MS/MS data
Author :
Takan, Savas ; Allmer, Jens
Author_Institution :
Comput. Eng., Izmir Inst. of Technol., Izmir, Turkey
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.
Keywords :
XML; biology computing; genomics; mass spectroscopy; proteins; proteomics; query processing; API; database search method; de novo markup language; de novo sequence representation; genome; learning curve; mass spectrometry; protein identification; protein sequence; proteomics; Amino acids; Libraries; Prediction algorithms; Production facilities; Software; Standards; XML;
Conference_Titel :
Health Informatics and Bioinformatics (HIBIT), 2012 7th International Symposium on
Conference_Location :
Nevsehir
Print_ISBN :
978-1-4673-0879-3
DOI :
10.1109/HIBIT.2012.6209038