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Topic > Bioinformatics |
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8 projects in result set.
0. Corbi - A collection of bioinformatics tools for general purposes such as network query, protein structure alignment, gene expression analysis. |
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Registered: 2011-09-26 05:04 |
1. simecol - Ecological Models with R - simecol allows to implement ecological models (ODEs, IBMs, ...) using a template-like object-oriented stucture. It helps to organize scenarios and may also be useful for other areas. |
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- Topic : Bioinformatics [Filter]
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- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
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Registered: 2008-02-20 20:34 |
2. 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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- Natural Language : German [Filter]
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- Topic : Genetics [Filter]
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Registered: 2010-02-24 09:24 |
3. TopKLists - The package includes tools for inference, aggregation, and visualization of multiple ranked lists. Consolidated information from two or more such lists comprising the same set of objects can be obtained. Incomplete rankings and partial lists are allowed. |
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- Development Status : 5 - Production/Stable [Filter]
- Environment : Console (Text Based) [Filter]
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- Topic : Bioinformatics [Filter]
- Topic : Biostatistics & Medical Statistics [Filter]
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Registered: 2010-05-06 10:59 |
4. cgen - Parallel Genomic Prediction and GWAS in R using Eigen and Rcpp |
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- Topic : High Performance Computing [Filter]
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Registered: 2013-05-29 18:34 |
5. netbenchmark - The development version of netbenchmark package, which implements a benchmarking of several gene network inference algorithms from gene expression data. |
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Registered: 2014-11-28 09:55 |
6. Rigorous Analytics - Software for the quantitative analysis of medical imaging data. Medical imaging data formats include DICOM, AFNI, ANALYZE and NIfTI. |
- Development Status : 3 - Alpha [Filter]
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- Topic : Biostatistics & Medical Statistics [Filter]
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Registered: 2010-01-18 10:18 |
7. 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. |
- Development Status : 4 - Beta (Now Filtering)
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- Programming Language : R (Now Filtering)
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Registered: 2009-09-17 00:13 |