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Resource Name
RRID:SCR_001625 RRID Copied      
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asSeq (RRID:SCR_001625)
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Resource Information

URL: http://bios.unc.edu/~weisun/software/asSeq.htm

Proper Citation: asSeq (RRID:SCR_001625)

Description: Software that establishes a statistical framework for future developments of eQTL (expression quantitative trait locus) mapping methods using RNA-seq data (e.g., linkage-based eQTL mapping), and the joint study of multiple genetic markers and/or multiple genes. This R package has been submitted to R/bioconductor. It will be available on bioconductor soon. It is recommended to install this R package from bioconductor. You can also install this R package from the source code by yourself. Since the R package contains C code, a C complier is required for installation. With both R and appropriate c complier installed, this R package can be installed using the following command (in Mac Terminal window or Windows command window) R CMD INSTALL asSeq

Abbreviations: asSeq

Resource Type: data processing software, source code, data analysis software, software resource, software application

Defining Citation: PMID:21838806

Keywords: r, rna-seq, expression quantitative trait locus, total read count, allele-specific expression, allele-specific gene expression, gene expression quantitative trait locus, rna isoform, gene expression, genetic marker, bio.tools

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bio.tools

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Bioconductor

has parent organization

University of North Carolina at Chapel Hill; North Carolina; USA

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