mimicree

Brought to you by: rokofler

Last Update: 2017-08-17

Get an email when there's a new version of mimicree

MimicrEE (Mimicing Experimental Evolution) is a tool for forward simulations of entire genomes. It basically allowes to simulate adaptation from standing genetic variation, thus no 'de novo' mutations are supported. It has been tested with 8,000 individulas having 2,000,000 million SNPs.

Documentation: https://sourceforge.net/p/mimicree/wiki/Main/

Project Activity

See All Activity >

License

Mozilla Public License 1.1 (MPL 1.1)

Follow mimicree

mimicree Web Site

Other Useful Business Software

Level Up Your Cyber Defense with External Threat Management

See every risk before it hits. From exposed data to dark web chatter. All in one unified view.

Move beyond alerts. Gain full visibility, context, and control over your external attack surface to stay ahead of every threat.

Try for Free

Rate This Project

User Reviews

Be the first to post a review of mimicree!

Additional Project Details

Registered

2015-03-31

Report inappropriate content

Recommended Projects

popoolation2
PoPoolation2 allows to compare allele frequencies for SNPs between two or more populations and to identify significant differences. PoPoolation2 requires next generation sequencing data of pooled genomic DNA (Pool-Seq). It may be used for measuring differentiation between populations, for genome wide association studies and for experimental evolution. Documentation: https://sourceforge.net/p/popoolation2/wiki/Main/
PGAP
PGAP is a pipeline for pan-genome analysis.
NGSEP
NGSEP (Next Generation Sequencing Experience Platform)
PANTHER
PANTHER project: software for modeling of protein sequence and function evolution, and tools for applying these data to the analysis of genome data, expression data and coding SNPs. Details available at http://www.pantherdb.org.
SimulaTE
SimulaTE allows to simulate arbitrary complex landscapes of transposable elements (TEs). Additionally reads may be simulated using the genomes of all indivdiuals in the population as template. Reads may be simulated using different sequencing technologies (PacBio, Illumina paired-ends) and strategies (sequencing individuals and pooled populations). SimulaTE will greatly aid in evaluating the suitability of different approaches for estimating TE abundance within populations and to test whether given genomic resources, such as a reference genome or a TE database (a fasta file containing consensus sequences of TEs), are suitable for TE identification. Manual https://sourceforge.net/p/simulates/wiki/Home/#manual Walkthrough https://sourceforge.net/p/simulates/wiki/Home/#walkthrough Validation https://sourceforge.net/p/simulates/wiki/Home/#validation