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Showing 6 open source projects for "genome"
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MAGeCK
Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout
Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout (MAGeCK) is a computational tool to identify important genes from the recent genome-scale CRISPR-Cas9 knockout screens technology. For instructions and documentations, please refer to the wiki page. MAGeCK is developed by Wei Li and Han Xu from Dr. Xiaole Shirley Liu's lab at Dana-Farber Cancer Institute/Harvard School of Public Health, and is maintained by Wei Li lab at Children's National Medical Center. ... -
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FluxModules
Module Computation for Metabolic Networks
Genome Scale Metabolic Networks are complex systems, Modules help to break them down and hence ease understanding and algorithmic complexity. FluxModules is a toolbox with code for module detection and module visualization. -
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A software framework to build maps for Neurospora crassa genome based on probabilistic models of meiotic recombination. A netbeans platform application is built to incorporate the computations. Project issues are mainatined at https://freecode4susant.atlassian.net/browse/GENOMEMAP
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DyMMM
Dynamic Multispecies Metabolic Modeling framework
...Please use the following citation for bibliographical purposes: Zhuang, K., Izallalen, M., Mouser, P., Richter, H., Risso, C., Mahadevan, R., & Lovley, D. R. (2011). Genome-scale dynamic modeling of the competition between Rhodoferax and Geobacter in anoxic subsurface environments. The ISME journal. Zhuang, K., Ma, E., Lovley, D. R., & Mahadevan, R. (2012). The design of long-term effective uranium bioremediation strategy using a community metabolic model. Biotechnology and Bioengineering. -
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MCPerm: Monte Carlo SNP permutation
Monte Carlo permutation method for SNP multiple test correlation
...However, it relies on the original single nucleotide polymorphism (SNP) genotypes and phenotypes data to perform a large number of random shuffles, and thus it is computationally intensive, especially for genome-wide association study (GWAS). To improve the calculation speed without changing the size of the TradPerm p-value, we developed a Monte Carlo permutation (MCPerm) method as an efficient alternative to TradPerm. Methods: MCPerm does not need to shuffle the original genotypes and phenotypes data. It uses Monte Carlo method, employs two-step hypergeometric distribution to generate the random number of genotypes (AA, Aa and aa) in cases and controls. -
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