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9 projects in result set.
0. Eagle for Genome-Wide Association Mappin - The Eagle package is an implementation of multiple-locus association mapping on a genome-wide scale. It can handle inbred or outbred study populations, populations of arbitrary unknown complexity, and data larger than the memory capacity of the computer. |
- Development Status : 1 - Planning [Filter]
- Environment : Web Environment [Filter]
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- License : OSI Approved : GNU General Public License (GPL) [Filter]
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- Programming Language : C/C\+\+ [Filter]
- Programming Language : R (Now Filtering)
- Topic : Genetics : Linkage, LD and Haplotype Mapping [Filter]
- Topic : Genetics : QTL Mapping [Filter]
- Topic : High Performance Computing : Parallel Computing [Filter]
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Registered: 2017-07-24 00:36 |
1. Foreach parallel adaptor for Rmpi - The purpose of this project is to provide a parallel backend for foreach using the Rmpi package. |
- Development Status : 4 - Beta [Filter]
- Intended Audience : Developers [Filter]
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- License : OSI Approved : GNU General Public License (GPL) [Filter]
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- Programming Language : R (Now Filtering)
- Topic : High Performance Computing : Parallel Computing [Filter]
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Registered: 2009-10-31 20:36 |
2. parallelstructure - Package to provide a R framework to make use of multi-core computers when running analysis in the population genetics software STRUCTURE. |
- Development Status : 4 - Beta [Filter]
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- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : MacOS [Filter]
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- Programming Language : R (Now Filtering)
- Topic : Genetics : Population Genetics [Filter]
- Topic : High Performance Computing : Parallel Computing [Filter]
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Registered: 2013-03-26 16:28 |
3. Generic Asynchronous Job Queue - Implementation of a job queue that allows background computations while the calling R session remains responsive (basic threading). The package's focus is on providing an intuitive user interface. |
- Development Status : 4 - Beta [Filter]
- Intended Audience : Developers [Filter]
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- License : OSI Approved [Filter]
- Natural Language : English [Filter]
- Operating System : OS Independent [Filter]
- Programming Language : R (Now Filtering)
- Topic : High Performance Computing : Parallel Computing [Filter]
- Topic : High Performance Computing : Resource Managers and Batch Schedulers [Filter]
- Topic : Software Development [Filter]
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Registered: 2015-04-22 11:02 |
4. foreach - The foreach package provides support for the foreach looping construct. Foreach is an idiom that allows for iterating over elements in a collection, without the use of an explicit loop counter. |
- Development Status : 5 - Production/Stable [Filter]
- Environment : Other Environment [Filter]
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- License : Other/Proprietary License [Filter]
- Natural Language : English [Filter]
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Registered: 2010-11-18 22:18 |
5. spatial-tools - spatial-tools is a set of functions meant to boost the capabilities of existing spatial packages such as raster, sp, and rgdal. |
- Development Status : 4 - Beta [Filter]
- Environment : Console (Text Based) [Filter]
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- License : OSI Approved : GNU General Public License (GPL) [Filter]
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- Programming Language : R (Now Filtering)
- Topic : High Performance Computing : Parallel Computing [Filter]
- Topic : Spatial Data & Statistics : Reading and Writing Spatial Data [Filter]
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Registered: 2012-09-28 17:23 |
6. doSNOW - The doSNOW package provides a parallel backend to the foreach package's %dopar% operator that provides parallel computation via R's snow package. |
- Development Status : 5 - Production/Stable [Filter]
- Environment : Console (Text Based) [Filter]
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Registered: 2010-11-19 22:28 |
7. Nvidia thrust column-major matrices func - This package provides basic R functions made with a help of nvidia thrust for GPU computation in linux environment. The implementation is based on the NVIDIA CUDA Toolkit 4.0. |
- Development Status : 2 - Pre-Alpha [Filter]
- Environment : Console (Text Based) [Filter]
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Registered: 2011-06-10 12:13 |
8. RMVL - Mappable vector library provides convenient way to access large datasets on solid state drives. This bypasses limitation of physical memory size as well as limited bandwidth of database interfaces. Memory mapped data can be shared between multiple R processes. Access speed depends on storage medium, so solid state drive is recommended, preferably with PCI Express (or M.2 nvme) interface. The data is memory mapped into R and then accessed using usual R list and array subscription operators. The layout of underlying MVL files is optimized for large datasets. The vectors are stored to guarantee alignment for vector intrinsics after memory map. The package is built on top of libMVL, which can be used as standalone C library. libMVL has simple C API making it easy to interchange of datasets with outside programs. |
- Development Status : 3 - Alpha [Filter]
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- License : OSI Approved : GNU Lesser General Public License (LGPL) [Filter]
- Operating System : OS Independent [Filter]
- Programming Language : C/C\+\+ [Filter]
- Programming Language : R (Now Filtering)
- Topic : Database [Filter]
- Topic : High Performance Computing : Large Memory [Filter]
- Topic : High Performance Computing : Parallel Computing [Filter]
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Registered: 2021-08-19 02:16 |