18327e879f9df894313dd3100084c94cc6dd4136 hiram Fri Dec 5 11:03:40 2025 -0800 track definitions for TOGA version 2 refs #35776 diff --git src/hg/makeDb/trackDb/TOGAv2.html src/hg/makeDb/trackDb/TOGAv2.html new file mode 100644 index 00000000000..88e73527fc1 --- /dev/null +++ src/hg/makeDb/trackDb/TOGAv2.html @@ -0,0 +1,85 @@ +
+TOGA version 2.0 +(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. +
+ ++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 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 +
+ ++Kirilenko BM, Munegowda C, Osipova E, Jebb D, Sharma V, Blumer M, Morales AE, Ahmed AW, Kontopoulos +DG, Hilgers L et al. + +Integrating gene annotation with orthology inference at scale. +Science. 2023 Apr 28;380(6643):eabn3107. +PMID: 37104600; PMC: PMC10193443 +