AmiGO: Workflows

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Revision as of 16:02, 12 December 2006 by Jl242 (talk | contribs)
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AmiGO workflows

  • input: list of gene ids, id format in GO database [upload gene list as flat file, or paste into search box)
  • user: high-throughput experimenter
  • output1: a list of input gene ids with corresponding GO terms [html, download as flat file, XML, Excel?]

V

  • output2: file above mapped to a set of GO slim terms (GO slim can be chosen from set of existing GO slims or user supplied as a list of ids or a GO format slim file)

V

  • output3: A chart representation of the above slimmed file

  • input: list of gene ids, format not in GO database
  • user: high-throughput experimenter
  • output: same as above [ids invisibly converted by AmiGO using UniProt translation tables?]

  • input: list of 'interesting' gene ids from microarray/proteomics expt, + full gene id set from expt
  • user: microarray
  • output1: List of significantly over-represented GO terms for 'interesting' gene set v/s full set [html, download file]

V

  • output2: slimmed version of above file [as before]

V

  • output3: chart of above [as before]

  • input: list of sequences (protein or DNA)
  • user: bench scientist, genetics, genomics small-scale or high-throughput [upload as file or paste into search box. List of options - find matches via BLAST, InterProScan, others?]
  • output1a: BLAST results [html + file download option]. How should this be displayed? Default to top GO term, with Option for show alignments, show top 10 hits? Should we allow users to configure the hits? Should ultimately end up with a list of sequence ids with GO terms

OR

  • output1b: InterProScan output [we'd have to look into what their output is but, ultimately we want them to be able to download a seq id->GO term file]

V

  • output2: slimmed version of above file [as before]

V

  • output3: A chart representation of the above slimmed file [as before]

  • input: single gene id, format in GO database
  • user: bench research biologist
  • output: all annotations for that term [as it is now]

  • input: single gene id, format not in GO database
  • user: bench research biologist
  • output: as above, but we need to convert id behind the scenes