Maltorean is desinged to analyze MALDI-TOF result file from SNU Proteomics Core Facility.
Peptide read counts are converted into bar graph, indexed and aligned with reference protein.
Please read README.md or https://github.com/physcopatens12/maltorean.
REQUIRED LIBRARY:
Pandas & Matplotlib
USAGE:
$ python3 maltorean.py [-h] -M META [-R READ] [-W WRITE]
OPTIONAL ARGUMENTS:
-h, --help
: show this help message and exit
-M META, --meta META
: .csv file including metadata
-R READ, --read READ
: folder path of read MALDI-TOF .csv files
-W WRITE, --write WRITE
: folder path to write files
INPUT FORMAT:
Reads metadata sheet .csv file into pandas dataframe.
File must be constructed with columns (without header and index):
> 1) *MALDI-TOF result file name (without .csv),
> 2) Target reference protein name (same in result file),
> 3) Amino acid sequence of reference protein.
> *MALDI-TOF result .csv file is from Unipeptide sheet of .xlsx file.
> Columns are Protein name, Types of peptide (count) and Sum of peptide spectrum.
OUTPUT FORMAT:
Writes a .csv sheet of reference protein amino acid and its frequency.
Draws bar plot of amino acid frequency indexed by reference protein sequence.
Output size is 2000px X 5 px and formats are .pdf and .png.