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 Topic > Genetics
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9 projects in result set.
0. Low Rank Gaussian Process Regression - Fit a Low Rank Gaussian Process Regression / Linear Mixed Model for large datasets. These models are widely used in statistical genetics as a test of association while correcting for the confounding effects of kinship and population structure.
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Registered: 2013-12-19 15:12 |
1. RFLPtools - RFLPtools provides functions to analyse DNA fragment samples (i.e. derived from RFLP-analysis) and standalone BLAST report files (i.e. DNA sequence analysis).
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Registered: 2010-02-24 09:24 |
2. cgen - Parallel Genomic Prediction and GWAS in R using Eigen and Rcpp
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Registered: 2013-05-29 18:34 |
3. GWAtoolbox - An R-package implemented for genome-wide association studies. The main feature is very vast quality check of data before meta-analysis. It provides an extensive list of quality statistics presented using easy-to-use DHTML and graphical outputs.
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Registered: 2011-03-23 10:20 |
4. Genome-wide analysis using MOSS - Performs genome-wide analysis of dense SNP array data using the mode oriented stochastic search (MOSS) algorithm in a case-control design. Includes preprocessing of the data from Plink format to the format required by the MOSS algorithm.
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Registered: 2011-01-07 17:53 |
5. CellMix - Resources for performing gene expression deconvolution in R, i.e. estimating cell proportions and/or cell-specific gene expression from global gene expression measured in heterogeneous samples.
Currently hosted packages: csSAM and CellMix packages.
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Registered: 2013-04-11 08:27 |
6. Genotype Database Framework - GT.DB is a database framework for efficiently managing genome-wide genotype datasets (i.e. 10^6 or more biallelic markers, 1000s of samples), as well as underlying raw data and complex phenotype data, tightly integrated with R libraries for analysis.
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Registered: 2009-09-17 00:13 |
7. casper - casper infers alternative splicing from high-throughput sequencing data both for known variants and de novo discovery. We use a Bayesian model with few assumptions, and modern model selection ideas with improved theoretical and computational properties.
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Registered: 2011-10-11 08:51 |
8. SeqinR: Biological Sequences in R - The seqinR package for the R environment contains utilities to retrieve and analyse biological sequences.
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Registered: 2008-07-28 09:03 |
