Umfang:
XI, 388 S. :
,
Ill., graph. Darst. ;
,
27 cm.
ISBN:
978-1-62703-826-3
Serie:
Methods in molecular biology 628
Anmerkung:
Includes bibliographical references and index. - Genetic variation analysis for biomedical researchers : a primer / Michael R. Barnes -- Exploring the landscape of the genome / Michael R. Barnes -- Asking complex questions of the genome without programming / Peter M. Woollard -- Laboratory methods for the detection of chromosomal abnormalities / Jacqueline Schoumans and Claudia Ruivenkamp -- Cancer genome analysis informatics / Ian P. Barrett -- Copy number variations in the human genome and strategies for analysis / Emily A. Vucic ... [et al.] -- A short primer on the functional analysis of copy number variation for biomedical scientists / Michael R. Barnes and Gerome Breen -- Computational methods for the analysis of primate mobile elements / Richard Cordaux ... [et al.] -- Laboratory methods for the analysis of primate mobile elements / David A. Ray ... [et al.] -- Practical informatics approaches to microsatellite and variable number tandem repeat analysis / Gerome Breen -- Assessing the impact of genetic variation on transcriptional regulation in vitro / Fahad R. Ali, Kate Haddley, and John P. Quinn -- Whole genome sequencing / Pauline C. Ng and Ewen F. Kirkness -- Detection of mitochondrial DNA variation in human cells / Kim J. Krishnan ... [et al.] -- An introduction to mitochondrial informatics / Hsueh-Wei Chang ... [et al.] -- Web-based analysis of (Epi-) genome data using EpiGRAPH and Galaxy / Christoph Bock ... [et al.] -- Short tandem repeats and genetic variation / Bo Eskerod Madsen, Palle Villesen, and Carsten Wiuf -- Bioinformatic tools for identifying disease gene and SNP candidates / Sean D. Mooney, Vidhya G. Krishnan, and Uday S. Evani -- Analysis of the impact of genetic variation on human gene expression / Elin Grundberg, Tony Kwan, and Tomi M. Pastinen -- Quality control for genome-wide association studies / Michael E. Weale -- Gaining a pathway insight into genetic association data / Inti Pedroso
Sprache:
Englisch
Fachgebiete:
Biologie
Bookmarklink
