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  1. AUGUSTUS is a program that predicts genes in eukaryotic genomic sequences. Augustus [gene prediction] University of Göttingen - Faculty of Biology - Institute of Microbiology and Genetics - Department of Bioinformatics

  2. AUGUSTUS is used in many genome annotation projects. Below are some accuracy values in comparison to other programs. As accuracy measure we use sensitivity (Sn) and specificity (Sp).

  3. 851 single gene sequences predicted by genewise and compiled by Jason Stajich. 261 genes are complete, 590 genes are incomplete at the 3' end. Genes redundand with those in the Genbank annotations were deleted:

  4. Which values for X are possible is specified in the file augustus/config/extrinsic.cfg, e.g. X=M, E, or P. AUGUSTUS can follow a hint, i.e. predict a gene structure that is compatible with it, or AUGUSTUS can ignore a hint, i.e. predict a gene structure that is not compatible with it.

  5. Predictions for 4 Caenorhabditis species: C.elegans (WS 180), C.brenneri (PB2801, assembly 1), C.briggsae (CB3), C.remanei (assembly 2) Predictions for the whole genome of Drosophila melagonaster.

  6. Gene prediction in eukaryotes with a generalized hidden Markov model that uses hints from external sources. BMC Bioinformatics 7, 62. Mario Stanke and Burkhard Morgenstern (2005) "AUGUSTUS: a web server for gene prediction in eukaryotes that allows user-defined constraints", Nucleic Acids Research, 33, W465-W467.

  7. Predictions for Chlamydomonas reinhardtii (assembly 4): AUGUSTUS was trained in collaboration with Erik F.Y. Hom (Harvard) and Chun Liang (Miami University, Ohio) on Chlamydomonas reinhardtii. These predictions are based on the JGI-Assembly v4.

  8. Among all gene structures that are consistent and that obey all user constraints, AUGUSTUS finds the most likely gene structure. A user constraints may contradict the biological consistency. For example a donor splice site where there is no GT in the sequence.

  9. Introduction ----- The purpose of this pipeline script is to run the AUGUSTUS training process and gene prediction algorithm automatically on a given eukaryotic genome with available cDNA evidence. The complete process contains the following steps.

  10. Oct 30, 2009 · The general approach is to generate hints for Augustus from the RNA-Seq, which can be used together with hints from other sources if available (like from an existing gene models, ESTs, protein or genomic conservation, MS/MS).