Mercurial > repos > bimib > marea
diff Marea/ras_generator.xml @ 48:e4235b5231e4 draft
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author | bimib |
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date | Sun, 23 Feb 2020 09:41:14 -0500 |
parents | 3af9d394367c |
children | 2c2a11aa1e02 |
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--- a/Marea/ras_generator.xml Wed Feb 19 10:44:52 2020 -0500 +++ b/Marea/ras_generator.xml Sun Feb 23 09:41:14 2020 -0500 @@ -1,4 +1,4 @@ -<tool id="MaREA RAS Generator" name="Expression2RAS" version="1.0.2"> +<tool id="MaREA RAS Generator" name="Expression2RAS" version="1.0.3"> <description>- Reaction Activity Scores computation</description> <macros> <import>marea_macros.xml</import> @@ -31,17 +31,6 @@ </when> <when value="Custom"> <param name="Custom_rules" type="data" format="tabular, csv, tsv, xml" label="Custom rules" /> - <conditional name="cond_map"> - <param name="yes_no" type="select" label="Custom map? (optional)"> - <option value="no" selected="true">no</option> - <option value="yes">yes</option> - </param> - <when value="yes"> - <param name="Custom_map" argument="--custom_map" type="data" format="xml, svg" label="custom-map.svg"/> - </when> - <when value="no"> - </when> - </conditional> </when> </conditional> <param name="input" argument="--input" type="data" format="tabular, csv, tsv" label="Gene Expression dataset:" /> @@ -59,6 +48,62 @@ What it does ------------- + +This tool computes Reaction Activity Scores from gene expression (RNA-seq) dataset(s), as described in Graudenzi et al. Integration of transcriptomic data and metabolic networks in cancer samples reveals highly significant prognostic power. Journal of Biomedical Informatics, 2018, 87: 37-49. + +Accepted files: + - A gene expression dataset + +Format: +Tab-separated text file reporting the normalized expression level (e.g., TPM, RPKM, ...) of each gene (row) for a given sample (column). +Column header: sample ID. +Row header: gene ID. + + +Optional files: + - custom GPR (Gene-Protein-Reaction) rules. Two accepted formats: + + * (Cobra Toolbox and CobraPy compliant) xml of metabolic model; + * .csv file specifyig for each reaction ID (column 1) the corresponding GPR rule (column 2). + +Computation option ‘(A and NaN) solved as (A)’: +In case of missing expression value, referred to as NaN (Not a Number), for a gene joined with an AND operator in a given GPR rule, the rule ‘A and NaN’ + +If YES is selected: the GPR will be solved as A. + +If NO is selected: the GPR will be disregarded tout-court (i.e., treated as NaN). + +Example input +------------- + +Custom GPR rules: + ++------------+--------------------------------------+ +| id | rule (with entrez-id | ++============+======================================+ +| r1642 | 155060 or 10357 | ++------------+--------------------------------------+ +| r1643 | 155060 or 100134869 | ++------------+--------------------------------------+ +| r1640 | 155060 and 100134869 or 10357 | ++------------+--------------------------------------+ + +RNA-seq dataset: + ++------------+----------------+----------------+----------------+ +| Hugo_ID | TCGAA62670 | TCGAA62671 | TCGAA62672 | ++============+================+================+================+ +| HGNC:24086 | 0.523167 | 0.371355 | 0.925661 | ++------------+----------------+----------------+----------------+ +| HGNC:24086 | 0.568765 | 0.765567 | 0.456789 | ++------------+----------------+----------------+----------------+ +| HGNC:9876 | 0.876545 | 0.768933 | 0.987654 | ++------------+----------------+----------------+----------------+ +| HGNC:9 | 0.456788 | 0.876543 | 0.876542 | ++------------+----------------+----------------+----------------+ +| HGNC:23 | 0.876543 | 0.786543 | 0.897654 | ++------------+----------------+----------------+----------------+ + ]]> </help> <expand macro="citations" />