| Step | Annotation |
|---|---|
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Step 1: Input dataset
select at runtime
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Step 2: Input dataset
select at runtime
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Step 3: Input dataset
select at runtime
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Any MS search software may be used to generate this table-formatted (e.g. excel) list of peptide identifications as long as peptide IDs are listed under one column. |
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Step 4: Concatenate datasets
Output dataset 'output' from step 1
Datasets
Dataset 1
Output dataset 'output' from step 2
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Concatenates the reference proteome (Ensembl pep.all) and the contaminants database (cRAP). |
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Step 5: FASTA-to-Tabular
Output dataset 'out_file1' from step 4
1
0
|
Convert Reference+cRAP fasta into tabular format. Column 1: Accession Column 2: aa sequence |
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Step 6: find in reference
Output dataset 'output' from step 3
Output dataset 'output' from step 5
Choose the column of input and reference to compare
2
(value not yet validated)
2
(value not yet validated)
True
lines with no match in reference
No
|
Input is the list of peptides identified from MS search software. Peptides should be in table format and listed within a column. |
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Step 7: find in reference
Output dataset 'novel' from step 6
select at runtime
Choose the column of input and reference to compare
2
(value not yet validated)
2
(value not yet validated)
True
lines with match in reference
Yes
1
(value not yet validated)
;
,
|
Input are list of novel peptides (not present in the reference database) and this step finds to which variations each novel peptide corresponds. |