After the great expansion of genome-wide association studies, their scientific methodology and, notably, their data analysis has matured in recent years, and they are a keystone in large epidemiological studies. Newcomers to the field are confronted with a wealth of data, resources and methods. This book presents current methods to perform informative analyses using real and illustrative data with established bioinformatics tools and guides the reader through the use of publicly available data. Includes clear, readable programming codes for readers to reproduce and adapt to their own data.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Juan R. González is an Associate Research Professor leading the Bioinformatics Research Group in Epidemiology at Barcelona Institute for Global Health. He has published extensively on methods and bioinformatics tools to detect structural variants from genomic data and to perform different types of omic association studies. Dr. González is the author of a large number of R and Bioconductor packages including state-of-the-art libraries such as SNPassoc or MAD that have been used to discover new susceptibility genetic factor for complex diseases.
Alejandro Caceres is a Senior Statistician in the Bioinformatics Research Group in Epidemiology at Barcelona Institute for Global Health. He has large experience in developing new statistical methods to exploit genomic, transcriptomic and epigenomic data obtained from public repositories. Dr. Cáceres is the author of several R and Bioconductor packages that have been used, for instance, to study the role of polymorphic genomic inversions in complex diseases or to investigate how the downregulation of chromosome Y may affect age-related diseases.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: AwesomeBooks, Wallingford, Vereinigtes Königreich
Hardcover. Zustand: Very Good. Omic Association Studies with R and Bioconductor This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. Artikel-Nr. 7719-9781138340565
Anzahl: 2 verfügbar
Anbieter: Bahamut Media, Reading, Vereinigtes Königreich
Hardcover. Zustand: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee. Artikel-Nr. 6545-9781138340565
Anzahl: 1 verfügbar
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
Hardcover. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely. Artikel-Nr. 6666-TNF-9781138340565
Anzahl: 10 verfügbar
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
Zustand: New. Artikel-Nr. 35105063-n
Anzahl: Mehr als 20 verfügbar
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
Zustand: As New. Unread book in perfect condition. Artikel-Nr. 35105063
Anzahl: Mehr als 20 verfügbar
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Zustand: New. Artikel-Nr. 370695904
Anzahl: 3 verfügbar
Anbieter: California Books, Miami, FL, USA
Zustand: New. Artikel-Nr. I-9781138340565
Anzahl: Mehr als 20 verfügbar
Anbieter: AussieBookSeller, Truganina, VIC, Australien
Hardcover. Zustand: new. Hardcover. After the great expansion of genome-wide association studies, their scientific methodology and, notably, their data analysis has matured in recent years, and they are a keystone in large epidemiological studies. Newcomers to the field are confronted with a wealth of data, resources and methods. This book presents current methods to perform informative analyses using real and illustrative data with established bioinformatics tools and guides the reader through the use of publicly available data. Includes clear, readable programming codes for readers to reproduce and adapt to their own data. Emphasises extracting biologically meaningful associations between traits of interest and genomic, transcriptomic and epigenomic data Uses up-to-date methods to exploit omic data Presents methods through specific examples and computing sessions Supplemented by a website, including code, datasets, and solutions This book presents current methods to perform informative analyses using real and illustrative data with established bioinformatics tools, and guides the reader through the use of publicly available data. The code and datasets, as well as solutions will be accessible online to help readers reproduce all results and figures in the book. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Artikel-Nr. 9781138340565
Anzahl: 1 verfügbar
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New. Artikel-Nr. 18376430901
Anzahl: 3 verfügbar
Anbieter: moluna, Greven, Deutschland
Zustand: New. Artikel-Nr. 291810826
Anzahl: Mehr als 20 verfügbar