Omic association studies with R and Bioconductor:
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...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton, Florida
CRC Press
[2019]
|
| Schlagworte: | |
| Online-Zugang: | URL des Erstveröffentlichers |
| Zusammenfassung: | 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 |
| Beschreibung: | OCLC-licensed vendor bibliographic record |
| Beschreibung: | 1 online resource |
| ISBN: | 9780429803369 0429803362 9780429440557 0429440553 9780429803376 0429803370 9780429803352 0429803354 |
Internformat
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Datensatz im Suchindex
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| author | González, Juan R. Cáceres, Alejandro |
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| author_role | aut aut |
| author_sort | González, Juan R. |
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| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 572 - Biochemistry |
| dewey-raw | 572/.33 |
| dewey-search | 572/.33 |
| dewey-sort | 3572 233 |
| dewey-tens | 570 - Biology |
| discipline | Biologie |
| discipline_str_mv | Biologie |
| format | Electronic eBook |
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| id | DE-604.BV046620738 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T14:08:06Z |
| indexdate | 2024-07-10T08:49:27Z |
| institution | BVB |
| isbn | 9780429803369 0429803362 9780429440557 0429440553 9780429803376 0429803370 9780429803352 0429803354 |
| language | English |
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| publisher | CRC Press |
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| spelling | González, Juan R. Verfasser aut Omic association studies with R and Bioconductor Juan R. González, Alejandro Cáceres Boca Raton, Florida CRC Press [2019] © 2019 1 online resource txt rdacontent c rdamedia cr rdacarrier OCLC-licensed vendor bibliographic record 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 SCIENCE / Life Sciences / Biochemistry bisacsh MATHEMATICS / Probability & Statistics / General bisacsh SCIENCE / Life Sciences / Biology / General bisacsh Molecular genetics Molecular genetics / Data processing Phenotype Gene expression DNA. R (Computer program language) Cáceres, Alejandro aut https://www.taylorfrancis.com/books/9780429440557 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | González, Juan R. Cáceres, Alejandro Omic association studies with R and Bioconductor SCIENCE / Life Sciences / Biochemistry bisacsh MATHEMATICS / Probability & Statistics / General bisacsh SCIENCE / Life Sciences / Biology / General bisacsh Molecular genetics Molecular genetics / Data processing Phenotype Gene expression DNA. R (Computer program language) |
| title | Omic association studies with R and Bioconductor |
| title_auth | Omic association studies with R and Bioconductor |
| title_exact_search | Omic association studies with R and Bioconductor |
| title_exact_search_txtP | Omic association studies with R and Bioconductor |
| title_full | Omic association studies with R and Bioconductor Juan R. González, Alejandro Cáceres |
| title_fullStr | Omic association studies with R and Bioconductor Juan R. González, Alejandro Cáceres |
| title_full_unstemmed | Omic association studies with R and Bioconductor Juan R. González, Alejandro Cáceres |
| title_short | Omic association studies with R and Bioconductor |
| title_sort | omic association studies with r and bioconductor |
| topic | SCIENCE / Life Sciences / Biochemistry bisacsh MATHEMATICS / Probability & Statistics / General bisacsh SCIENCE / Life Sciences / Biology / General bisacsh Molecular genetics Molecular genetics / Data processing Phenotype Gene expression DNA. R (Computer program language) |
| topic_facet | SCIENCE / Life Sciences / Biochemistry MATHEMATICS / Probability & Statistics / General SCIENCE / Life Sciences / Biology / General Molecular genetics Molecular genetics / Data processing Phenotype Gene expression DNA. R (Computer program language) |
| url | https://www.taylorfrancis.com/books/9780429440557 |
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