Mercurial > repos > bimib > marea
comparison Marea/ras_generator.xml @ 48:e4235b5231e4 draft
Uploaded
author | bimib |
---|---|
date | Sun, 23 Feb 2020 09:41:14 -0500 |
parents | 3af9d394367c |
children | 2c2a11aa1e02 |
comparison
equal
deleted
inserted
replaced
47:3af9d394367c | 48:e4235b5231e4 |
---|---|
1 <tool id="MaREA RAS Generator" name="Expression2RAS" version="1.0.2"> | 1 <tool id="MaREA RAS Generator" name="Expression2RAS" version="1.0.3"> |
2 <description>- Reaction Activity Scores computation</description> | 2 <description>- Reaction Activity Scores computation</description> |
3 <macros> | 3 <macros> |
4 <import>marea_macros.xml</import> | 4 <import>marea_macros.xml</import> |
5 </macros> | 5 </macros> |
6 <requirements> | 6 <requirements> |
29 </when> | 29 </when> |
30 <when value="Recon"> | 30 <when value="Recon"> |
31 </when> | 31 </when> |
32 <when value="Custom"> | 32 <when value="Custom"> |
33 <param name="Custom_rules" type="data" format="tabular, csv, tsv, xml" label="Custom rules" /> | 33 <param name="Custom_rules" type="data" format="tabular, csv, tsv, xml" label="Custom rules" /> |
34 <conditional name="cond_map"> | |
35 <param name="yes_no" type="select" label="Custom map? (optional)"> | |
36 <option value="no" selected="true">no</option> | |
37 <option value="yes">yes</option> | |
38 </param> | |
39 <when value="yes"> | |
40 <param name="Custom_map" argument="--custom_map" type="data" format="xml, svg" label="custom-map.svg"/> | |
41 </when> | |
42 <when value="no"> | |
43 </when> | |
44 </conditional> | |
45 </when> | 34 </when> |
46 </conditional> | 35 </conditional> |
47 <param name="input" argument="--input" type="data" format="tabular, csv, tsv" label="Gene Expression dataset:" /> | 36 <param name="input" argument="--input" type="data" format="tabular, csv, tsv" label="Gene Expression dataset:" /> |
48 <param name="name" argument="--name" type="text" label="Dataset's name:" value="Dataset" help="Default: Dataset" /> | 37 <param name="name" argument="--name" type="text" label="Dataset's name:" value="Dataset" help="Default: Dataset" /> |
49 <param name="none" argument="--none" type="boolean" truevalue="true" falsevalue="false" checked="true" label="(A and NaN) solved as (A)?" /> | 38 <param name="none" argument="--none" type="boolean" truevalue="true" falsevalue="false" checked="true" label="(A and NaN) solved as (A)?" /> |
57 <help> | 46 <help> |
58 <![CDATA[ | 47 <![CDATA[ |
59 | 48 |
60 What it does | 49 What it does |
61 ------------- | 50 ------------- |
51 | |
52 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. | |
53 | |
54 Accepted files: | |
55 - A gene expression dataset | |
56 | |
57 Format: | |
58 Tab-separated text file reporting the normalized expression level (e.g., TPM, RPKM, ...) of each gene (row) for a given sample (column). | |
59 Column header: sample ID. | |
60 Row header: gene ID. | |
61 | |
62 | |
63 Optional files: | |
64 - custom GPR (Gene-Protein-Reaction) rules. Two accepted formats: | |
65 | |
66 * (Cobra Toolbox and CobraPy compliant) xml of metabolic model; | |
67 * .csv file specifyig for each reaction ID (column 1) the corresponding GPR rule (column 2). | |
68 | |
69 Computation option ‘(A and NaN) solved as (A)’: | |
70 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’ | |
71 | |
72 If YES is selected: the GPR will be solved as A. | |
73 | |
74 If NO is selected: the GPR will be disregarded tout-court (i.e., treated as NaN). | |
75 | |
76 Example input | |
77 ------------- | |
78 | |
79 Custom GPR rules: | |
80 | |
81 +------------+--------------------------------------+ | |
82 | id | rule (with entrez-id | | |
83 +============+======================================+ | |
84 | r1642 | 155060 or 10357 | | |
85 +------------+--------------------------------------+ | |
86 | r1643 | 155060 or 100134869 | | |
87 +------------+--------------------------------------+ | |
88 | r1640 | 155060 and 100134869 or 10357 | | |
89 +------------+--------------------------------------+ | |
90 | |
91 RNA-seq dataset: | |
92 | |
93 +------------+----------------+----------------+----------------+ | |
94 | Hugo_ID | TCGAA62670 | TCGAA62671 | TCGAA62672 | | |
95 +============+================+================+================+ | |
96 | HGNC:24086 | 0.523167 | 0.371355 | 0.925661 | | |
97 +------------+----------------+----------------+----------------+ | |
98 | HGNC:24086 | 0.568765 | 0.765567 | 0.456789 | | |
99 +------------+----------------+----------------+----------------+ | |
100 | HGNC:9876 | 0.876545 | 0.768933 | 0.987654 | | |
101 +------------+----------------+----------------+----------------+ | |
102 | HGNC:9 | 0.456788 | 0.876543 | 0.876542 | | |
103 +------------+----------------+----------------+----------------+ | |
104 | HGNC:23 | 0.876543 | 0.786543 | 0.897654 | | |
105 +------------+----------------+----------------+----------------+ | |
106 | |
62 ]]> | 107 ]]> |
63 </help> | 108 </help> |
64 <expand macro="citations" /> | 109 <expand macro="citations" /> |
65 </tool> | 110 </tool> |
66 | 111 |