1 %define packname biomaRt
3 Summary: R Interface to BioMart databases
8 Group: X11/Applications
9 Source0: http://www.bioconductor.org/packages/release/bioc/src/contrib/%{packname}_%{version}.tar.gz
10 # Source0-md5: 2692dafbad92824a549ed451d5fccabc
11 URL: http://www.bioconductor.org/packages/release/bioc/html/biomaRt.html
12 BuildRequires: R-cran-RCurl
13 BuildRequires: R-cran-XML
15 BuildRequires: texlive-latex
16 Requires: R-cran-RCurl
19 BuildRoot: %{tmpdir}/%{name}-%{version}-root-%(id -u -n)
22 In recent years a wealth of biological data has become available in
23 public data repositories. Easy access to these valuable data resources
24 and firm integration with data analysis is needed for comprehensive
25 bioinformatics data analysis. biomaRt provides an interface to a
26 growing collection of databases implementing the BioMart software
27 suite (http://www.biomart.org). The package enables retrieval of large
28 amounts of data in a uniform way without the need to know the
29 underlying database schemas or write complex SQL queries. Examples of
30 BioMart databases are Ensembl, COSMIC, Uniprot, HGNC, Gramene,
31 Wormbase and dbSNP mapped to Ensembl. These major databases give
32 biomaRt users direct access to a diverse set of data and enable a wide
33 range of powerful online queries from gene annotation to database
37 %setup -c -q -n %{packname}
42 rm -rf $RPM_BUILD_ROOT
43 install -d $RPM_BUILD_ROOT%{_libdir}/R/library
45 %{_bindir}/R CMD INSTALL %{packname} -l $RPM_BUILD_ROOT%{_libdir}/R/library
48 rm -rf $RPM_BUILD_ROOT
51 %defattr(644,root,root,755)
52 %dir %{_libdir}/R/library/%{packname}/
53 %doc %{_libdir}/R/library/%{packname}/doc/
54 %doc %{_libdir}/R/library/%{packname}/html/
55 %doc %{_libdir}/R/library/%{packname}/DESCRIPTION
56 %doc %{_libdir}/R/library/%{packname}/CITATION
57 %{_libdir}/R/library/%{packname}/NAMESPACE
58 %{_libdir}/R/library/%{packname}/INDEX
59 %{_libdir}/R/library/%{packname}/Meta/
60 %{_libdir}/R/library/%{packname}/R/
61 %{_libdir}/R/library/%{packname}/help/
62 %{_libdir}/R/library/%{packname}/scripts/