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PMID: 16460651 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Review

Integrated analysis of genetic data with R.

Human genomics ·Vol. 2 ·No. 4 ·2006-01-00 ·Pages 258-65

Zhao JH, Tan Q

Abstract

Genetic data are now widely available. There is, however, an apparent lack of concerted effort to produce software systems for statistical analysis of genetic data compared with other fields of statistics. It is often a tremendous task for end-users to tailor them for particular data, especially when genetic data are analysed in conjunction with a large number of covariates. Here, R (http://www.r-project.org), a free, flexible and platform-independent environment for statistical modelling and graphics is explored as an integrated system for genetic data analysis. An overview of some packages currently available for analysis of genetic data is given. This is followed by examples of package development and practical applications. With clear advantages in data management, graphics, statistical analysis, programming, internet capability and use of available codes, it is a feasible, although challenging, task to develop it into an integrated platform for genetic analysis; this will require the joint efforts of many researchers.

MeSH Terms
Algorithms Genetic Techniques Genetics, Medical/methods,trends Humans Software
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Zhao Jing Hua
Strangeways Research Laboratory, Wort's Causeway, Cambridge, CB1 8RN, UK. jhz22@medschl.cam.ac.uk
Tan Qihua
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Article Info
Journal
Human genomics
Abbr.
Hum Genomics
ISSN
1479-7364
Published
2006-01-00
Pages
258-65
Language
English
Region
England
NLM ID
101202210
PMCID
PMC3525150
Subset
IM
Grants
Medical Research Council · MC_U106188470 · United Kingdom
NIA NIH HHS · AG13196 · United States
NIA NIH HHS · P01-AG08761 · United States
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