Structural Information and Hidden Markov Models for Biological Sequence Analysis

Structural Information and Hidden Markov Models for Biological Sequence Analysis

Bioinformatics is a fast-developing field, which makes use of computational methods to analyse and structure biological data. An important branch of bioinformatics is structure and function prediction of proteins, which is often based on finding relationships to already characterized proteins. It is...

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Bibliographic Details
Main Author: Tångrot, Jeanette
Format: Doctoral Thesis
Language:English
Published: Umeå universitet, Institutionen för datavetenskap 2008
Subjects:
HMM
structure alignment
protein structure
secondary structure
remote homologue
annotation
domain family
protein family
protein superfamily
protein fold recognition
Bioinformatics
Bioinformatik
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1629
http://nbn-resolving.de/urn:isbn:978-91-7264-369-7

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1629
http://nbn-resolving.de/urn:isbn:978-91-7264-369-7

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