d2ac08231c388dcae68ce7031d5a7dddb91beb97 hiram Mon Sep 12 10:55:19 2022 -0700 expanded documentation from Michael refs #29982 diff --git src/hg/makeDb/trackDb/TOGAannotation.html src/hg/makeDb/trackDb/TOGAannotation.html index 839dafa..c201476 100644 --- src/hg/makeDb/trackDb/TOGAannotation.html +++ src/hg/makeDb/trackDb/TOGAannotation.html @@ -1,28 +1,76 @@
-Tool to infer Orthologs from Genome Alignments +TOGA +(Tool to infer Orthologs from Genome Alignments) +is a homology-based method that integrates gene annotation, inferring +orthologs and classifying genes as intact or lost.
+ +-TOGA is a new method that integrates gene annotation, inferring orthologs -and classifying genes as intact or lost. +As input, TOGA uses a gene annotation of a reference species +(human/hg38 for mammals, chicken/galGal6 for birds) and +a whole genome alignment between the reference and query genome.
-TOGA implements a novel machine learning based paradigm to infer -orthologous genes between related species and to accurately distinguish +TOGA implements a novel paradigm that relies on alignments of intronic +and intergenic regions and uses machine learning to accurately distinguish orthologs from paralogs or processed pseudogenes.
++To annotate genes, +CESAR 2.0 +is used to determine the positions and boundaries of coding exons of a +reference transcript in the orthologous genomic locus in the query species. +
+ ++Each annotated transcript is shown in a color-coded classification as +
+Clicking on a transcript provides additional information about the orthology +classification, inactivating mutations, the protein sequence and protein/exon +alignments. +
This data was prepared by the Michael Hiller Lab
The TOGA software is available from github.com/hillerlab/TOGA