GeneFinder: Ab initio gene finding
Ab initio gene finding or prediction is still an interesting problem. Current gene finder work well but especially predictions of eukaryotic genes have much space for improvement. Based on Anders Krogh's HMMGene our gene finder is used to test ideas to improve the predictions. One idea is to incorporate external data like gene expression to aid the signal and sequence composition driven prediction. The gene finder is implemented in Python using the python bindings of our own free (LGPL) HMM library General Hidden Markov Model library (GHMM).
For further information contact Janne Grunau (grunau@molgen.mpg.de). This project is connected to the following projects: GHMM.
Team
Members: Janne Grunau, Alexander Schliep, Janne Grunau.
Publications