Computational Methods Fragment Spectrum by Rameseder Jonathan (11 results)

Paperback or Softback. Condition: New. Computational Methods for Fragment Spectrum Interpretation. Book.

Paperback. Condition: New.

Condition: New.

Taschenbuch. Condition: Neu. Computational Methods for Fragment Spectrum Interpretation | Computational Interpretation of Tandem MS Spectra Including Fragment Ions with Post-Translational Modifications | Jonathan Rameseder (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2009 | VDM Verlag Dr. Müller | EAN 9783639228588 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.…

Paperback. Condition: New.

Condition: Hervorragend. Zustand: Hervorragend | Seiten: 56 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

PF. Condition: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rameseder JonathanJonathan Rameseder is pursuing his Ph.D. at M.I.T and conducted research at Singapore s A*STAR, the ETH Zurich, the Friedrich Miescher Institute and the European Bioinformatics Institute. He received numerous prest.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Post-translational modifications (PTMs) are of critical importance for a vast range of cellular processes such as growth control and signal transduction. Mass spectrometry (MS) can shed light on the characteristics of PTMs to gain insight into the mechanisms of numerous diseases including cancer. However, interpretation of tandem MS spectra including fragment ions with PTMs from high-throughput experiments is a complex challenge. The high number and diversity of known PTMs as well as suboptimal quality of spectra compromise the identification of PTMs in MS experiments. In this book, an efficient algorithm for the computational interpretation of tandem MS spectra including fragment ions with PTMs is described. Information on both precursor and fragment ion level is utilized and an arbitrary number of PTMs is considered. A robust statistical noise intensity model is developed to compensate for low spectrum quality. Finally, the algorithm is successfully applied on the fragment spectra in the PRIDE proteomics data repository to render it suitable for statistical machine learning investigations.…