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Compute genetic interactions from SGA output of colony sizes in yeast.

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SGA scoring pipeline

SGA Scoring script and related utilities

Additional directories (outside of GIT)

These are customary, and (I think) not hardcoded anywhere except in the parameters you supply. Thus, you can change them as long as you set those parameter-paths up accordingly. Sub-directories and symbolic links etc also work fine.

  • rawdata/: for input files
  • scored/: for output files
  • refdata/: for supplemental input files

Parameters:

  • Mandatory

    • inputfile database dump to score (9 columns) (customarily under rawdata/)
    • outputfile output file pattern (no extension) (scored/)
    • smfitnessfile path to query / array fitness file (refdata etc )
    • linkagefile path to linkage definition file (ignored if linkage is skipped, see below)
    • coord_file path to orf coordinate file (ignored if linkage is skipped)
    • removearraylist path to list of known bad arrays (to be removed)
  • Overrideable (have a hard-coded default, but may drop you into the debugger for confirmation if not supplied): - border_strain_orf ORF_strainid found on the border - wild_type ORF_strainid to use as wild-type - skip_perl_step skips a preprocessing step. If you're scoring an inputfile you've already scored, you can skip this to save some time

  • Optional:

    • skip_linkage_detection set to true to skip linkage detection altogether
    • skip_linkage_mask set the to true to replace linkage colonies after corrections
    • skip_wt_remove set this to true to include WT query strain/s in the output
    • eps_qnorm_ref path to mat-file containing a quantile normalization table

Example scoring job (using the script):

You can paste this into matlab, (% are comments)

% -------------------------------------------------------------------------------------
% October 9, 2014 
% nolink score of fg30 for adrian verster
% in which linkage data are held out from corrections, then replaced for analysis
% -------------------------------------------------------------------------------------

    inputfile = 'rawdata/Collab/AdrianVerster/raw_sga_fg_t30_131130_adrian.txt';
    outputfile= 'scored/Collab/AdrianVerster/nolink_sga_fg_t30_131130_adrian_scored_141009';
    skip_perl_step = false;
    skip_linkage_mask = true;
    skip_wt_remove = false;
    wild_type = 'URA3control_sn4757';
    border_strain_orf = 'YOR202W_dma1';
    smfitnessfile = 'refdata/smf_t30_130417.txt';
    linkagefile = 'refdata/linkage-est_sga_merged_131122.txt';
    coord_file = 'refdata/chrom_coordinates_111220.txt';
    removearraylist = 'refdata/bad_array_strains_140526.csv';
    compute_sgascore

Output

The script creates 4 output files, beginning with the supplied output pattern, but each with a unique extension:

  • .txt final scores in 12-column format
  • .log a record of events, pretty much a copy of what you see on the screen when you run the script
  • .mat a matfile containing everything in the workspace at the end of scoring, for post-mortems
  • .orf a list of unique strain_ids from columns 1 & 2 of .txt which may come in handy (e.g. for building a hashmap to load the .txt file

SAFE-ENTRY points

The script has a number of places marked: % SAFE ENTRY Which means "The only variables which change after this point, are created after this point." These have been determined by manual inspection and are by no means exhaustive. They are used to resume the script mid-execution to save time when testing changes. I generally use this procedure:

  • Locate the position of the change you wish to test (line XXX)
  • Locate the first SAFE ENTRY above XXX, (line YYY)
  • Delete lines 1-YYY and save the results to resume.m
  • To supress logging to the log-file, set this magic number at the top of resume.m : lfid = -11;
    • Or to log: lfid = fopen([outputfile '.log'], 'a') (a to append, w to overwrite)
  • load the mat-file you want to resume (if not already loaded)
  • run resume

File Formats

See the Column_Key for description of input and outputfiles

Requirements

  • MATLAB version (other than 2010b which has a bug in svm())
  • Image Processing Toolbox (image_toolbox)
  • Statistics Toolbox (statistics_toolbox)