pop.py

Downloads: 0 This Week

Last Update: 2013-04-23

Get an email when there's a new version of pop.py

Pop.py is a simulator of populations. Originally concieved to track the spread of words across language groups, pop.py can simulate any type of population, from schooling fish to n-dimensional celluar automata.

Features

polymorphic data container (MemUnit)
simple design
easy extensibility
fast integer indexing for data
separate param data type

Project Activity

See All Activity >

License

GNU General Public License version 3.0 (GPLv3)

Follow pop.py

pop.py Web Site

Other Useful Business Software

Ship Agents Faster Icon

Ship Agents Faster

Transform your applications and workflows into powerful agentic systems at global scale.

Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.

Get Started Free

Rate This Project

Login To Rate This Project

User Reviews

Be the first to post a review of pop.py!

Additional Project Details

Languages

English

User Interface

Console/Terminal, Tk, Web-based

Programming Language

Registered

2010-08-04

Report inappropriate content

Ship Agents Faster

Transform your applications and workflows into powerful agentic systems at global scale.

Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.

Get Started Free

Recommended Projects

DEBay
Deconvolutes qPCR data to estimate cell-type-specific gene expression
Greenplum Database
Massive parallel data platform for analytics, machine learning and AI
Intuitive Neural Network
Intuitive Neural Network is a software concieved for CAE (Computer Aided Education) purposes in Artificial Intelligence.
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
PoPoolation TE2
PoPoolationTE2: enables comparative population genomics of transposable elements (TE). As a major innovation PoPoolation TE2 introduces the physical pileup file which allows to homogenize the power to identify TEs and thus enables an unbiased comparison of TE abundance between samples, where samples could be pooled populations, tissues or sequenced individuals.