Bioinformatics tools and databases for the study of human growth hormone


Autoria(s): Pandey, Amit Vikram
Contribuinte(s)

Mullis, Primus-Eugen

Data(s)

2012

Resumo

Advances in novel molecular biological diagnostic methods are changing the way of diagnosis and study of metabolic disorders like growth hormone deficiency. Faster sequencing and genotyping methods require strong bioinformatics tools to make sense of the vast amount of data generated by modern laboratories. Advances in genome sequencing and computational power to analyze the whole genome sequences will guide the diagnostics of future. In this chapter, an overview of some basic bioinformatics resources that are needed to study metabolic disorders are reviewed and some examples of bioinformatics analysis of human growth hormone gene, protein and structure are provided.

Formato

application/pdf

Identificador

http://boris.unibe.ch/16558/1/341755

Pandey, Amit Vikram (2012). Bioinformatics tools and databases for the study of human growth hormone. In: Mullis, Primus-Eugen (ed.) Developmental Biology of GH Secretion, Growth and Treatment. Endocrine Development: Vol. 23 (pp. 71-85). Basel: Karger 10.1159/000341755 <http://dx.doi.org/10.1159/000341755>

doi:10.7892/boris.16558

info:doi:10.1159/000341755

info:pmid:23182822

urn:issn:1421-7082

urn:isbn:978-3-318-02245-2

Idioma(s)

eng

Publicador

Karger

Relação

http://boris.unibe.ch/16558/

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

Pandey, Amit Vikram (2012). Bioinformatics tools and databases for the study of human growth hormone. In: Mullis, Primus-Eugen (ed.) Developmental Biology of GH Secretion, Growth and Treatment. Endocrine Development: Vol. 23 (pp. 71-85). Basel: Karger 10.1159/000341755 <http://dx.doi.org/10.1159/000341755>

Palavras-Chave #610 Medicine & health
Tipo

info:eu-repo/semantics/bookPart

info:eu-repo/semantics/publishedVersion

PeerReviewed