From: Timothy F. <tf...@uc...> - 2021-09-01 20:15:15
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Hello Apollo <https://github.com/GMOD/Apollo> users (and CCed JBrowse2 user list), I tried Apollo some years ago, but it didn’t quite work for my genome annotation problem (my memory is a little fuzzy as to why it didn’t work out). I’d like to give it another shot, but have a couple questions that I think your respective user communities might have insight into: 1. Does Apollo’s graphical editing of gene models have a mode where it biologically constrains the edits? E.g. exon-intron splice junctions can only be dragged to another valid slide junction (based the AG/GT sites), or start codons can only be dragged to other ATGs (in other words, these features would “snap” to coordinates that have compatible sequences with their biological function) 2. Does anyone have a favored strategy or suite of tools for manual or semi-automated gene family annotation? In my past work, I came down on the “mostly-manual” side of things - looking at blast alignments in a genome browser, manually editing the GFF file with nano, and regenerating the translated peptides from the GFF to make sure I didn’t muck up the splicing or frame, while tracking it all with git to ensure I had a sort of “audit log” for these changes as I did them on-and-off over a few weeks. You can actually see the history of that here: https://github.com/photocyte/PPYR_OGS/commits/master <https://github.com/photocyte/PPYR_OGS/commits/master> . I’m sure there must be a better way to do things (and Apollo may be it!) but I hadn’t quite figured it out yet. I greatly appreciate any guidance you can provide. All the best, -Tim ___________________________________ Timothy R. Fallon, PhD NIH NRSA Postdoctoral Fellow - Moore Laboratory Center for Marine Biotechnology and Biomedicine Scripps Institution of Oceanography University of California, San Diego tf...@uc... Google Scholar publications and citations <https://scholar.google.com/citations?hl=en&user=CEPlauQAAAAJ&view_op=list_works&sortby=pubdate> Website: http://photocyte.github.io <http://photocyte.github.io/> |