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author | bimib |
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date | Mon, 07 Jun 2021 14:10:03 +0000 |
parents | 788730c95809 |
children | b6af3f72fd28 |
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<tool id="MaREA RAS Generator" name="Expression2RAS" version="1.0.7"> <description>- Reaction Activity Scores computation</description> <macros> <import>marea_macros.xml</import> </macros> <requirements> <requirement type="package" version="0.23.0">pandas</requirement> <requirement type="package" version="1.1.0">scipy</requirement> <requirement type="package" version="0.17.1">cobra</requirement> <requirement type="package" version="4.2.1">lxml</requirement> <requirement type="package" version="0.8.1">svglib</requirement> <requirement type="package" version="3.5.0">reportlab</requirement> </requirements> <command detect_errors="exit_code"> <![CDATA[ python $__tool_directory__/ras_generator.py --rules_selector $cond_rule.rules_selector --input $input --none $none --tool_dir $__tool_directory__ --out_log $log --ras_output $ras_output #if $cond_rule.rules_selector == 'Custom' --custom $cond_rule.Custom_rules #end if ]]> </command> <inputs> <conditional name="cond_rule"> <expand macro="options"/> <when value="HMRcore"> </when> <when value="Recon"> </when> <when value="Custom"> <param name="Custom_rules" type="data" format="tabular, csv, tsv, xml" label="Custom rules" /> </when> </conditional> <param name="input" argument="--input" type="data" format="tabular, csv, tsv" label="Gene Expression dataset:" /> <param name="name" argument="--name" type="text" label="Dataset's name:" value="Dataset" help="Default: Dataset" /> <param name="none" argument="--none" type="boolean" truevalue="true" falsevalue="false" checked="true" label="(A and NaN) solved as (A)?" /> </inputs> <outputs> <data format="txt" name="log" label="Expression2RAS - $name - Log" /> <data format="tabular" name="ras_output" label="$name RAS"/> </outputs> <help> <![CDATA[ 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" /> </tool>