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View my complete profile. Tuesday, February 3, 2009. Data(hla.demo); attach(hla.demo). Print(geno.desc[c(1:10,80:85,135:140),]). Summary(save.em, nlines=7). Wednesday, January 28, 2009. Structure of gwaa.data. SNPs after 2,490,000 pb. The first 5 subject and 3 SNPs. Srdta[c("p141","p147","p2000"),]@phdata. Srdta[c("p141","p147","p2000"),c("rs10","rs29")]. The first character is the consensus. Homozygotes for the first character is "0". Convert data to the format for "genetics" library. Model = c("codomin...
Bioconductor Mirror - Department of Epidemiology and Biostatistics - Case Western Reserve University
This is the Bioconductor Mirror in the Department of Epidemiology and Biostatistics at Case Western Reserve University. Current Bioconductor Software Release-v2.9. Click here to access Software. Click here to access Annotation. Click here to access Experiment Data. Click here to access Bioconductor Views Hierarchy. Current Development Stage Bioconductor Software Release-v2.10. Click here to access Software. Click here to access Annotation. Click here to access Experiment Data. School of Graduate Studies.
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Join us for morning talks from distinguished speakers and community members, afternoon workshops to hone your skills, and poster sessions and social activities to get to know members of the Bioconductor community at our Annual Conference. July 20 (Developer Day), 21 and 22 in Seattle, WA. And an active user community. Bioconductor is also available as an AMI. Amazon Machine Image) and a series of Docker. Orchestrating high-throughput genomic analysis with. And other recent literature. Use the support site.
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Bioconductor - Home
Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1473 software packages. And an active user community. Bioconductor is also available as an AMI. Amazon Machine Image) and a series of Docker. Core team job opportunity. Bioconductor F1000 Research Channel. Orchestrating high-throughput genomic analysis with. Use the support site.
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Bioconductor Mirror, Department of Statistics, TU Dortmund
Is an open source and open development software project for the analysis and comprehension of genomic data. Bioconductor is based primarily on the R. Programming language, but does contain contributions in other programming languages. It has two releases each year that follow the semiannual releases of R. In addition there are a large number of meta-data packages available that are mainly, but not solely, oriented towards different types of microarrays and next-generation sequencing analysis. Past Releas...
