TOPMG(1) | TopPIC suite | TOPMG(1) |
topmg - Top-down mass spectrometry based proteoform identification using Mass Graphs
TopMG (Top-down mass spectrometry based proteoform identification using Mass Graphs) is a software tool for identifying ultra-modified proteoforms by searching top-down tandem mass spectra against a protein sequence database. It is capable of identifying proteoforms with multiple variable PTMs and unexpected alterations, such as histone proteoforms and phosphorylated ones. It uses mass graphs, which efficiently represent candidate proteoforms with multiple variable PTMs, to increase the speed and sensitivity in proteoform identification. In addition, approximate spectrum-based filtering methods are employed for protein sequence filtering, and a Markov chain Monte Carlo method (TopMCMC) is used for estimating the statistical significance of identifications.
TopMG outputs two csv files, an xml file, and a collection of html files for identified proteoforms. For example, when the input mass spectrum data file is spectra_ms2.msalign, the output includes:
To browse identified proteins, proteoforms, and PrSMs, use a chrome browser to open the file spectra_html/topview/index.html. Google Chrome is recommended (Firefox, IE are not recommended).
When the input contains two or more spectrum files, TopMG outputs two csv files, an xml file, and a collection of html files for each input file. When a file name is specified for combined identifications, it combines spectra and proteoforms identified from all the input files, removes redundant proteoform identifications, and reports two csv files, an xml file, and a collection of html files for the combined results. For example, when the input is spectra1_ms2.msalign and spectra2_ms2.msalign and the combined output file name is "combined," the output files are:
-h [ --help ] Print the help message.
-a [ --activation ] <CID|HCD|ETD|UVPD|FILE> Fragmentation method of tandem mass spectra. When FILE is used, fragmentation methods of spectra are given in the input spectral data file. Default value: FILE.
-f [ --fixed-mod ] <C57|C58|a fixed modification file> Set fixed modifications. Three available options: C57, C58, or the name of a text file specifying fixed modifications (see an example file). When C57 is selected, carbamidomethylation on cysteine is the only fixed modification. When C58 is selected, carboxymethylation on cysteine is the only fixed modification.
-n [ --n-terminal-form ] <a list of allowed N-terminal forms> Set N-terminal forms of proteins. Four N-terminal forms can be selected: NONE, NME, NME_ACETYLATION, and M_ACETYLATION. NONE stands for no modifications, NME for N-terminal methionine excision, NME_ACETYLATION for N-terminal acetylation after the initiator methionine is removed, and M_ACETYLATION for N-terminal methionine acetylation. When multiple forms are allowed, they are separated by commas. Default value: NONE,M_ACETYLATION,NME,NME_ACETYLATION.
-d [ --decoy ] Use a shuffled decoy protein database to estimate spectrum and proteoform level FDRs. When -d is chosen, a shuffled decoy database is automatically generated and appended to the target database before database search, and FDR rates are estimated using the target-decoy approach.
-e [ --mass-error-tolerance ] <a positive integer> Set the error tolerance for precursor and fragment masses in ppm. Default value: 15.
-p [ --proteoform-error-tolerance ] <a positive number> Set the error tolerance for identifying PrSM clusters (in Dalton). Default value: 1.2 Dalton.
-M [ --max-shift ] <a number> Set the maximum absolute value for unexpected mass shifts (in Dalton). Default value: 500.
-t [ --spectrum-cutoff-type ] <EVALUE|FDR> Set the spectrum level cutoff type for filtering PrSMs. Default value: EVALUE.
-v [ --spectrum-cutoff-value ] <a positive number> Set the spectrum level cutoff value for filtering PrSMs. Default value: 0.01.
-T [ --proteoform-cutoff-type ] <EVALUE|FDR> Set the proteoform level cutoff type for filtering proteoforms and PrSMs. Default value: EVALUE.
-V [ --proteoform-cutoff-value ] <a positive number> Set the proteoform level cutoff value for filtering proteoforms and PrSMs. Default value: 0.01.
-i [ --mod-file-name ] <a modification file> Specify a text file of variable PTMs. See an example file.
-u [ --thread-number ] <a positive number> Set the number of threads used in the computation. Default value: 1. The maximum number of threads is determined by the CPU and memory of the computer used for computation. About 4 GB memory is required for each thread. If the computer has 16 GB memory and a CPU with 8 cores, the maximum number of threads is 4 because 16 GB memory is required for 4 threads.
-x [ --no-topfd-feature ] Specify that there are no TopFD feature files for proteoform identification.
-D [ --use-asf-diagonal ] Use the ASF-DIAGONAL method for protein sequence filtering. The default filtering method is ASF-RESTRICT. When -D is selected, both ASF-RESTRICT and ASF-DIAGONAL will be used. The combined approach may identify more PrSMs, but it is much slower than using ASF-RESTRICT only. See this paper for more details.
-P [ --var-ptm ] <a positive number> Set the maximum number of variable PTM sites in a proteoform. Default value: 5.
-s [ --num-shift <0|1|2> Set the maximum number of unexpected mass shifts in a proteoform. Default value: 0.
-c [ --combined-file-name ] <a filename> Specify an output file name for combined identifications when the input consists of multiple spectrum files.
-k [ --keep ] Keep intermediate files generated by TopMG.
-j [ --proteo-graph-dis ] <a positive number> Set the length of the largest gap in constructing proteoform graphs. Default value: 40. See this paper for more details.
-G [ --var-ptm-in-gap ] <a positive number> Set the maximum number of variable PTM sites in a gap in a proteoform graph. Default value: 5. See this paper for more details.
To use the following examples, a variable modification file variable_mods.txt in the current foler is needed. (See an example.)
topmg -i variable_mods.txt proteins.fasta spectra_ms2.msalign
topmg -i variable_mods.txt -c combined proteins.fasta spectra1_ms2.msalign spectra2_ms2.msalign
topmg -i variable_mods.txt proteins.fasta *_ms2.msalign
topmg -i variable_mods.txt -x proteins.fasta spectra_ms2.msalign
topmg -i variable_mods.txt -f C57 proteins.fasta spectra_ms2.msalign
topmg -i variable_mods.txt -P 4 -s 1 -M 10000 proteins.fasta spectra_ms2.msalign
topmg -i variable_mods.txt -e 5 proteins.fasta spectra_ms2.msalign
topmg -i variable_mods.txt -d -t FDR -v 0.05 -T FDR -V 0.05 proteins.fasta spectra_ms2.msalign
topmg -i variable_mods.txt -u 6 proteins.fasta spectra_ms2.msalign
This man page was written by Filippo Rusconi <lopippo@debian.org>. Material was taken from http://proteomics.informatics.iupui.edu/software/toppic/manual.html.
Filippo Rusconi <lopippo@debian.org> and upstream authors (Dr. Xiaowen Liu's Lab at Indiana University-Purdue University Indianapolis and others)
Filippo Rusconi and Indiana University-Purdue University Indianapolis
20200521 | 1 |