Ancestral Reconstruction Pipeline

Pipeline

Refactored pipeline

• Images from hackathon
• Notes on pipeline details

Plan for refactoring

GetGenomes: remove config file, add option to specify output dir for output files

This program gets data ready for downstream processing

• -d<directory of input synmap files>
• -g gid1,gid2,gid3,gid4... <list of common separated coge genome ids>
• -p p1,p2,p3,p4 <list of comma separated ploidy levels for genomes -- note these are paired ordered data with the -g option?>
• -s < subgenome_file>
• -o <output directory for SubGenomeInGeneOrder OrthologSets GenomeInString files>

GetContigInput

This program gets data ready for ancestral ordering of genes by MWM

• Remove config file dependency
• -g gid1,gid2,gid3,gid4... <list of common separated coge genome ids>
• -w w1,w2,w3,w4 <list of comma separated weights for genomes -- note these are paired ordered data with the -g option?>
• -wa <threshold minimum adjacency score for keeping a contig. Called 'weightOfAdjacent' in original config file>
• -i <input file: GenomesInString from program GetGenomes>
• -o <output file name>

Note: Output is now a tab delimited file with each line containing: vertex vertex weight . These data will be used by the MEMPython data below

MWMPython: http://jorisvr.nl/maximummatching.html needs command line options for

This program is a general tool for Maximum Weight Matching. First run is for ancestral gene ordering. Second run is for ancestral contig ordering

• -i <input file or directory>
  • File type is a set of vertex vertex weight
  • note: if directory, will batch process all files
• -o <outfile or directory> If no option is specified, the results go to STDOUT

GetContigOutputAndScaffoldInput

This program maps ancestral contigs back to various genomes, gets their positions, and gets data formatted for a second MWM to generate ancestral ordered contigs Note: goal is to get everything onto the command line. Currently, several of the files are hardcoded

• -cl <threshold minimum contig length. Called 'minimumGeneGroupLength' in original config file>
• -b <Number of bins for assignment to ancestral chromosomes. Called 'AncChrNumber' in original config file> (Note: this may be removed if this info can be derived from the input -- specifically the SubGenomesInGeneOrder file).)
  • Note: genomeInContigIndex is specified in the config file. This is the weighting for each subgenome. Need to discuss how best to deal with these.
• -co <configoutput file generated by the MWMPython program>
• -sg <subGenomesInGeneOrder file>
• -gf <genomeInString file>
• -o <output directory name>

Note: Output is a directory of tab delimited files with each line containing: vertex vertex weight . These data will be used by the MEMPython program Note: Multiple output files, one for each ancestral chromosome bin

MWMPython

Reuse of the same program listed above for ancestral ordering of contigs

ScaffoldOutput

Putting all the output data back together for the final ancestral genome

• -i <directory of input files>
• -o <output file of reconstructed genome>