Title: | Yeast-Proteome Secondary-Structure Calculator |
---|---|
Description: | An extension for 'NetSurfP-2.0' (Klausen et al. (2019) <doi:10.1002/prot.25674>) which is specifically designed to analyze the results of bottom-up-proteomics that is primarily analyzed with 'MaxQuant' (Cox, J., Mann, M. (2008) <doi:10.1038/nbt.1511>). This tool is designed to process a large number of yeast peptides that produced as a results of whole yeast cell-proteome digestion and provide a coherent picture of secondary structure of proteins. |
Authors: | Sajad Tasharofi [aut, cph], Shashank Kumbhare [aut, cre, cph], Bent Petersen [aut], Morteza Khaledi [aut], Amir Shahmoradi [aut] |
Maintainer: | Shashank Kumbhare <[email protected]> |
License: | GPL (>= 3) |
Version: | 1.1.0.9000 |
Built: | 2024-11-05 04:12:32 UTC |
Source: | https://github.com/shashankkumbhare/ypssc |
Form bottom-up proteomics data of proteins (peptides), this function determines the sections of proteins (in percentage) with alpha-helix, structure.
findAlpha(pathFileInput = NULL, pathDirOutput = NULL, ...)
findAlpha(pathFileInput = NULL, pathDirOutput = NULL, ...)
pathFileInput |
Path of the input csv file generated from MaxQuant. |
pathDirOutput |
Path of the directory to which the output files will be generated. |
... |
(for developer use only) |
The output of the program is a csv file (.csv) that contains 5 columns, and the number of rows depends on the number of
proteins in the sample.
First column contains the ID of the identified alpha-helix proteins in the sample, second column contains the number of identified
amino acids from the corresponding protein, third column contains number of identified amino acids with alpha-helix structure,
fourth column contains the number of amino acids that the protein originally has in the SSDYP, and fifth column contains the
number of amino acids with alpha-helix structure that the protein originally has in the SSDYP.
These columns should provide all information that the user needs to know about the protein and its structural information as
well as structural information about the parts of the protein that has been identified in the sample.
In addition, it also generates 4 more '.csv' files.
The no. of proteins found in the sample.
The no. of peptides found in the sample.
The no. of amino acids for each protein in database.
It is the input file from MaxQuant that's been cleaned up for the sole purpose of calculating secondary structures.
findSecondary
, findBeta
, findChain
## Not run: findAlpha( pathFileInput = "some/path/to/inputFile.csv", pathDirOutput = "some/path/to/outputDir/" ) findAlpha() ## End(Not run)
## Not run: findAlpha( pathFileInput = "some/path/to/inputFile.csv", pathDirOutput = "some/path/to/outputDir/" ) findAlpha() ## End(Not run)
Form bottom-up proteomics data of proteins (peptides), this function determines the sections of proteins (in percentage) with beta-sheet, structure.
findBeta(pathFileInput = NULL, pathDirOutput = NULL, ...)
findBeta(pathFileInput = NULL, pathDirOutput = NULL, ...)
pathFileInput |
Path of the input csv file generated from MaxQuant. |
pathDirOutput |
Path of the directory to which the output files will be generated. |
... |
(for developer use only) |
The output of the program is a csv file (.csv) that contains 5 columns, and the number of rows depends on the number of
proteins in the sample.
First column contains the ID of the identified alpha-helix proteins in the sample, second column contains the number of identified
amino acids from the corresponding protein, third column contains number of identified amino acids with secondary structure,
fourth column contains the number of amino acids that the protein originally has in the SSDYP, and fifth column contains the
number of amino acids with beta-sheet that the protein originally has in the SSDYP.
These columns should provide all information that the user needs to know about the protein and its structural information as
well as structural information about the parts of the protein that has been identified in the sample.
In addition, it also generates 4 more '.csv' files.
The no. of proteins found in the sample.
The no. of peptides found in the sample.
The no. of amino acids for each protein in database.
It is the input file from MaxQuant that's been cleaned up for the sole purpose of calculating secondary structures.
findSecondary
, findAlpha
, findChain
## Not run: findBeta( pathFileInput = "some/path/to/inputFile.csv", pathDirOutput = "some/path/to/outputDir/" ) findBeta() ## End(Not run)
## Not run: findBeta( pathFileInput = "some/path/to/inputFile.csv", pathDirOutput = "some/path/to/outputDir/" ) findBeta() ## End(Not run)
Form bottom-up proteomics data of proteins (peptides), this function determines the sections of proteins (in percentage) with primary, structure.
findChain(pathFileInput = NULL, pathDirOutput = NULL, ...)
findChain(pathFileInput = NULL, pathDirOutput = NULL, ...)
pathFileInput |
Path of the input csv file generated from MaxQuant. |
pathDirOutput |
Path of the directory to which the output files will be generated. |
... |
(for developer use only) |
The output of the program is a csv file (.csv) that contains 5 columns, and the number of rows depends on the number of
proteins in the sample.
First column contains the ID of the identified alpha-helix proteins in the sample, second column contains the number of identified
amino acids from the corresponding protein, third column contains number of identified amino acids with secondary structure,
fourth column contains the number of amino acids that the protein originally has in the SSDYP, and fifth column contains the
number of amino acids in chain structure that the protein originally has in the SSDYP.
These columns should provide all information that the user needs to know about the protein and its structural information as
well as structural information about the parts of the protein that has been identified in the sample.
In addition, it also generates 4 more '.csv' files.
The no. of proteins found in the sample.
The no. of peptides found in the sample.
The no. of amino acids for each protein in database.
It is the input file from MaxQuant that's been cleaned up for the sole purpose of calculating secondary structures.
findSecondary
, findAlpha
, findBeta
## Not run: findChain( pathFileInput = "some/path/to/inputFile.csv", pathDirOutput = "some/path/to/outputDir/" ) findChain() ## End(Not run)
## Not run: findChain( pathFileInput = "some/path/to/inputFile.csv", pathDirOutput = "some/path/to/outputDir/" ) findChain() ## End(Not run)
Form bottom-up proteomics data of proteins (peptides), this function determines the sections of proteins (in percentage) with secondary structure like alpha-helix, beta sheet; also determines the parts that has primary structure.
findSecondary(pathFileInput = NULL, pathDirOutput = NULL, ...)
findSecondary(pathFileInput = NULL, pathDirOutput = NULL, ...)
pathFileInput |
Path of the input csv file generated from MaxQuant. |
pathDirOutput |
Path of the directory to which the output files will be generated. |
... |
(for developer use only) |
The output of the program is a csv file (.csv) that contains 5 columns, and the number of rows depends on the number of
proteins in the sample.
First column contains the ID of the identified alpha-helix proteins in the sample, second column contains the number of identified
amino acids from the corresponding protein, third column contains number of identified amino acids with secondary structure,
fourth column contains the number of amino acids that the protein originally has in the SSDYP, and fifth column contains the
number of amino acids with secondary structure that the protein originally has in the SSDYP.
These columns should provide all information that the user needs to know about the protein and its structural information as
well as structural information about the parts of the protein that has been identified in the sample.
In addition, it also generates 4 more '.csv' files.
The no. of proteins found in the sample.
The no. of peptides found in the sample.
The no. of amino acids for each protein in database.
It is the input file from MaxQuant that's been cleaned up for the sole purpose of calculating secondary structures.
findAlpha
, findBeta
, findChain
## Not run: findSecondary( pathFileInput = "some/path/to/inputFile.csv", pathDirOutput = "some/path/to/outputDir/" ) findSecondary() ## End(Not run)
## Not run: findSecondary( pathFileInput = "some/path/to/inputFile.csv", pathDirOutput = "some/path/to/outputDir/" ) findSecondary() ## End(Not run)