SNP_ID2EntrezGene_ID
Created: 2012-06-26 09:50:25
Last updated: 2013-03-11 13:56:56
Purpose:
The workflow maps a SNP (dbSNP id) to a gene (EntrezGene id). The default value for the SNP region is 300 kb (i.e. the set_witdth parameter is set to 300000).
Author comments:
The window for gene inclusion can be set using the set_width parameter. This workflow can be used together with other workflows in this pack: http://www.myexperiment.org/packs/282 for functional gene and SNP annotation and knowledge discovery.
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Workflow Components
![header=[] body=[This is the author information extracted from the workflow version] cssheader=[boxoverTooltipHeader] cssbody=[boxoverTooltipBody] delay=[200] Information](/images/famfamfam_silk/information.png?1680607579)
Authors (1)
Author:
Harish Dharuri
Contributor:
Kristina Hettne |
![header=[] body=[These are the descriptive titles embedded within the workflow version] cssheader=[boxoverTooltipHeader] cssbody=[boxoverTooltipBody] delay=[200] Information](/images/famfamfam_silk/information.png?1680607579)
Titles (1)
![header=[] body=[These are the descriptions embedded within the workflow version] cssheader=[boxoverTooltipHeader] cssbody=[boxoverTooltipBody] delay=[200] Information](/images/famfamfam_silk/information.png?1680607579)
Descriptions (1)
Purpose:
The workflow maps a SNP (dbSNP id) to a gene (EntrezGene id). The default value for the SNP region is 300 kb (i.e. the set_witdth parameter is set to 300000).
Author comments:
The window for gene inclusion can be set using the set_width parameter. This workflow can be used together with other workflows in this pack: http://www.myexperiment.org/packs/282 for functional gene and SNP annotation and knowledge discovery. |
![header=[] body=[These are the listed dependencies of the workflow] cssheader=[boxoverTooltipHeader] cssbody=[boxoverTooltipBody] delay=[200] Information](/images/famfamfam_silk/information.png?1680607579)
Dependencies (0)
Inputs (1)
Name |
Description |
SNP_ID |
Use (a list of) Database of Single Nucleotide Polymorphisms (dbSNP) IDs as input, separated by the newline character (\n).
|
Processors (9)
Name |
Type |
Description |
extract_snp_id |
beanshell |
Scriptimport java.util.*;
String [] line = string.split("\t");
out1=line[0].trim(); |
Split_string_into_string_list_by_regular_expression |
localworker |
ScriptList split = new ArrayList();
if (!string.equals("")) {
String regexString = ",";
if (regex != void) {
regexString = regex;
}
String[] result = string.split(regexString);
for (int i = 0; i < result.length; i++) {
split.add(result[i]);
}
}
|
regex_value |
stringconstant |
Value\n |
hsapiens_snp |
biomart |
|
Flatten_List |
localworker |
Scriptflatten(inputs, outputs, depth) {
for (i = inputs.iterator(); i.hasNext();) {
element = i.next();
if (element instanceof Collection && depth > 0) {
flatten(element, outputs, depth - 1);
} else {
outputs.add(element);
}
}
}
outputlist = new ArrayList();
flatten(inputlist, outputlist, 1); |
Flatten_List_2 |
localworker |
Scriptflatten(inputs, outputs, depth) {
for (i = inputs.iterator(); i.hasNext();) {
element = i.next();
if (element instanceof Collection && depth > 0) {
flatten(element, outputs, depth - 1);
} else {
outputs.add(element);
}
}
}
outputlist = new ArrayList();
flatten(inputlist, outputlist, 1); |
input_chr_position |
beanshell |
Scriptimport java.util.*;
List tmp_end = new ArrayList();
List tmp_start = new ArrayList();
width =Integer.parseInt(in1.get(0));
int out_end=0;
int out_start=0;
for(int i=0; i < in2.size(); i++) {
value_pos = Integer.parseInt(in2.get(i));
out_end = value_pos + width;
out_start = value_pos - width;
tmp_end.add(out_end);
tmp_start.add(out_start);
}
end_out = tmp_end;
start_out = tmp_start;
chr_out = chr_in;
|
set_width |
stringconstant |
Value300000 |
hsapiens_gene_ensembl |
biomart |
|
Beanshells (2)
Name |
Description |
Inputs |
Outputs |
extract_snp_id |
|
string
|
out1
|
input_chr_position |
|
chr_in
in2
in1
|
chr_out
end_out
start_out
|
Outputs (1)
Name |
Description |
EntrezGene_ID |
A list of EntrezGene IDs.
|
Datalinks (13)
Source |
Sink |
Split_string_into_string_list_by_regular_expression:split |
extract_snp_id:string |
regex_value:value |
Split_string_into_string_list_by_regular_expression:regex |
SNP_ID |
Split_string_into_string_list_by_regular_expression:string |
extract_snp_id:out1 |
hsapiens_snp:hsapiens_snp.snp_filter_filter |
hsapiens_snp:hsapiens_snp.chr_name |
Flatten_List:inputlist |
hsapiens_snp:hsapiens_snp.chrom_start |
Flatten_List_2:inputlist |
Flatten_List:outputlist |
input_chr_position:chr_in |
Flatten_List_2:outputlist |
input_chr_position:in2 |
set_width:value |
input_chr_position:in1 |
input_chr_position:chr_out |
hsapiens_gene_ensembl:hsapiens_gene_ensembl.chromosome_name_filter |
input_chr_position:end_out |
hsapiens_gene_ensembl:hsapiens_gene_ensembl.end_filter |
input_chr_position:start_out |
hsapiens_gene_ensembl:hsapiens_gene_ensembl.start_filter |
hsapiens_gene_ensembl:hsapiens_gene_ensembl.entrezgene |
EntrezGene_ID |
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License
All versions of this Workflow are
licensed under:
Version 3
(of 4)
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Works great and is well documented. Perhaps the output could also include a list with the gene names?