Xuhua Xia

Bioinformatics and the Cell

Modern Computational Approaches in Genomics, Proteomics and Transcriptomics

• Gebundenes Buch

Produktbeschreibung

This second edition integrates the more technical and mathematical aspects of bioinformatics with concrete examples of their application to current research problems in molecular, cellular and evolutionary biology. This broad, unified approach is made possible, in large part, by the very wide scope of Dr. Xia's own research experience. The integration of genomics, proteomics and transcriptomics into a single volume makes this book required reading for anyone entering the new and emerging fields of Systems Biology and Evolutionary Bioinformatics.

Produktdetails

• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-319-90682-9
• 2. Aufl.
• Seitenzahl: 504
• Erscheinungstermin: 16. Juli 2018
• Englisch
• Abmessung: 241mm x 160mm x 33mm
• Gewicht: 906g
• ISBN-13: 9783319906829
• ISBN-10: 3319906828
• Artikelnr.: 51961507

Autorenporträt

Dr. Xuhua Xia obtained his PhD in population biology at University of Western Ontario in 1990 and made his entry into molecular evolution and phylogenetics at University of Washington in 1993. He was recruited by University of Hong Kong in 1996 as an assistant professor, and served as a senior scientist and the founding head of the Bioinformatics Laboratory of HKU-Pasteur Research Centre. Dr. Xia joined University of Ottawa in 2002 where he is cross-appointed to both Biology Department and the School of Information Technology Engineering. He is an active member in the Center for Advanced Research in Environmental Genomics and the Ottawa Institute of Systems Biology. 

Inhaltsangabe

Blast and Fasta.- Sequence alignment.- Contig assembly.- DNA replication and viral evolution.- Gene and motif prediction.- Hidden Markov Models.- Gibbs Sampler.- Bioinformatics and vertebrate mitochondria.- Characterizing translation efficiency.- Protein isoelectric point.- Bioinformatics and Two-Dimensional Protein Separation.- Self-Organizing Map and other clustering Algorithms.- Molecular Phylogenetics.- Fundamentals of Proteomics.