Pandey, Amit Vikram (2012). Bioinformatics tools and databases for the study of human growth hormone. In: Developmental Biology of GH Secretion, Growth and Treatment. Endocrine Development: Vol. 23 (pp. 71-85). Basel: Karger 10.1159/000341755
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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.
Item Type: |
Book Section (Book Chapter) |
|---|---|
Division/Institute: |
04 Faculty of Medicine > Department of Gynaecology, Paediatrics and Endocrinology (DFKE) > Clinic of Paediatric Medicine > Endocrinology/Metabolic Disorders |
UniBE Contributor: |
Pandey, Amit Vikram |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
1421-7082 |
ISBN: |
978-3-318-02245-2 |
Series: |
Endocrine Development |
Publisher: |
Karger |
Language: |
English |
Submitter: |
Amit Vikram Pandey |
Date Deposited: |
04 Oct 2013 14:41 |
Last Modified: |
06 Jan 2023 19:09 |
Publisher DOI: |
10.1159/000341755 |
PubMed ID: |
23182822 |
Web of Science ID: |
000315535500007 |
Additional Information: |
6th ESPE Advanced Seminar in Developmental Endocrinology, Bern, May 2012 |
BORIS DOI: |
10.7892/boris.16558 |
URI: |
https://boris.unibe.ch/id/eprint/16558 (FactScience: 224223) |
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