Bioinformatics Research and Applications

13th International Symposium, ISBRA 2017, Honolulu, HI, USA, May 29 - June 2, 2017, Proceedings
1. Auflage 2017
ISBN: 978-3-319-59574-0
Verlag: Springer International Publishing

Buch, Englisch, Band 10330, 433 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 7548 g

Reihe: Lecture Notes in Computer Science

This book constitutes the proceedings of the 13th International Symposium on Bioinformatics Research and Applications, ISBRA 2017, held in Honolulu, HI, USA, in May/June 2017.

The 27 full papers presented together with 18 short papers and 24 invited abstracts were carefully reviewed and selected from 131 submissions. They cover topics such as: biomarker discovery; biomedical databases and data integration; biomedical text mining and ortologies; biomolecular imaging; comparative genomics; computational genetic epidemiology; computational proteomics; data mining and visualization; gene expression analysis; genome analysis; high-performance bio-computing; metagenomics; molecular evolution; molecular modelling and simulation; next-generation sequencing data analysis; pattern discovery and classification; population genetics; software tools and applications; structural biology; and systems biology.

Zielgruppe

Research

Autoren/Hrsg.

Cai, Zhipeng

Li, Min

Daescu, Ovidiu

Fachgebiete

• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Naturwissenschaften Biowissenschaften Angewandte Biologie Biomathematik

Inhaltsverzeichnis

Biomarker discovery.- Biomedical databases and data integration.- Biomedical text mining and ortologies.- Biomolecular imaging.- Comparative genomics.- Computational genetic epidemiology.- Computational proteomics.- Data mining and visualization.- Gene expression analysis.- Genome analysis.- High-performance bio-computing.- Metagenomics.- Molecular evolution.- Molecular modelling and simulation.- Next-generation sequencing data analysis.- Pattern discovery and classification.- Population genetics.- Software tools and applications.- Structural biology.- Systems biology.