clean branch with latest versions of grouping module, grouping_tutori… #51
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Added module 'grouping.py' to perform maximum parsimony grouping on either proteins or gene names from a psm output table. The goal is to have each precursor contribute only once to the final number of protein or gene identifications, effectively determining a single ID for each precursor ('pg_master' column in output). IDs with subsettable precursor sets are summarized into groups ('pg' column in output).
Logic and performance tests 'test_grouping.py' and 'test_grouping_performance.py' are added to unit_tests/. The module was developed in the notebook 'test_protein_grouping.ipynb' in nbs/debug/, where an explanation and references of the grouping strategy are provided.