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GNAT recognizes gene names in text and maps them to NCBI Entrez Gene
GNAT is a BioNLP/text mining tool to recognize and identify gene/protein names in natural language text. It will detect mentions of genes in text, such as PubMed/Medline abstracts, and disambiguate them to remove false positives and map them to the correct entry in the NCBI Entrez Gene database by gene ID.
March 2017: We started to upload GNAT output on Medline. See files/results/medline/.
...In addition, the user can easily define an automatic fitness function, put the program on 'autopilot' mode, and let it speed up evolution.
Different types of mutations (including inactive genes, changing instruments, and more) occur randomly (or at the user's control), and the user can add her own beats to the population.
The program was written by Nir Rosenfeld and Assaf Michaely.
An Evolution Simulator of Single Cells in a Pond. This shows a crosssection of
water with sun shining from above. A single cell is dropped in and has various genes. The cells multipy and evolve. See Files above for download and screenshot.
Domigene is a genetic algorithm API attempting to incorporate dominant and recessive genes. Supports modular evolution types, genetic programs, definable instruction sets, variation in population, chromosomes, mortality, mutation, fitness functions.
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