Pathway and Gene to Pubmed
Created: 2011-02-10 16:10:52
Last updated: 2011-02-18 13:47:08
Download WorkflowThis workflow takes in a list of gene names and searches the PubMed database for corresponding articles. Any matches to the genes are then retrieved (abstracts only). These abstracts are then returned to the user.
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Workflow Components
Authors (1)
| Paul Fisher |
Titles (2)
| Gene to Pubmed |
| Pathway and Gene to Pubmed |
Descriptions (1)
| This workflow takes in a list of gene names and searches the PubMed database for corresponding articles. Any matches to the genes are then retrieved (abstracts only). These abstracts are then returned to the user. |
Dependencies (0)
None
Inputs (3)
| Name | Description |
|---|---|
| gene_names | |
| Phenotype_search_term | |
| pathway_descriptions |
Processors (73)
| Name | Type | Description |
|---|---|---|
| regex | stringconstant |
Value\n |
| remove_nulls | beanshell |
ScriptString[] split = input.split("\n");
Vector nonEmpty = new Vector();
for (int i = 0; i < split.length; i++){
if (!(split[i].equals("")))
{
nonEmpty.add(split[i].trim());
}
}
String[] non_empty = new String[nonEmpty.size()];
for (int i = 0; i < non_empty.length; i ++)
{
non_empty[i] = nonEmpty.elementAt(i);
}
String output = "";
for (int i = 0; i < non_empty.length; i++)
{
output = output + (String) (non_empty[i] + "\n");
} |
| gene_and_abstract | beanshell |
ScriptString[] split = abstracts.split("\n");
String pathway_name = pathway;
Vector nonEmpty = new Vector();
for (int i = 0; i < split.length; i++)
{
String trimmed = split[i].trim();
nonEmpty.add(trimmed);
}
String output = ">> " + pathway_name + "\n";
for (int i = 0; i < nonEmpty.size(); i++)
{
output = output + (String) (nonEmpty.elementAt(i) + "\n");
} |
| split_search_terms | 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]);
}
}
|
| merge_outputs_2 | localworker |
ScriptString seperatorString = "\n";
if (seperator != void) {
seperatorString = seperator;
}
StringBuffer sb = new StringBuffer();
for (Iterator i = stringlist.iterator(); i.hasNext();) {
String item = (String) i.next();
sb.append(item);
if (i.hasNext()) {
sb.append(seperatorString);
}
}
concatenated = sb.toString();
|
| Search_PubMed | workflow | |
| clean_text | workflow | |
| regular_expression | stringconstant |
Value\n |
| Remove_duplicate_genes | localworker |
ScriptList strippedlist = new ArrayList();
for (Iterator i = stringlist.iterator(); i.hasNext();) {
String item = (String) i.next();
if (strippedlist.contains(item) == false) {
strippedlist.add(item);
}
}
|
| split_gene_names | 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]);
}
}
|
| remove_Nulls_2 | beanshell |
ScriptString[] split = input.split("\n");
Vector nonEmpty = new Vector();
for (int i = 0; i < split.length; i++){
if (!(split[i].equals("")))
{
nonEmpty.add(split[i].trim());
}
}
String[] non_empty = new String[nonEmpty.size()];
for (int i = 0; i < non_empty.length; i ++)
{
non_empty[i] = nonEmpty.elementAt(i);
}
String output = "";
for (int i = 0; i < non_empty.length; i++)
{
output = output + (String) (non_empty[i] + "\n");
} |
| Merge_string_list_to_string | localworker |
ScriptString seperatorString = "\n";
if (seperator != void) {
seperatorString = seperator;
}
StringBuffer sb = new StringBuffer();
for (Iterator i = stringlist.iterator(); i.hasNext();) {
String item = (String) i.next();
sb.append(item);
if (i.hasNext()) {
sb.append(seperatorString);
}
}
concatenated = sb.toString();
|
| xpath | stringconstant |
Value/*[local-name(.)='eSearchResult']/*[local-name(.)='IdList']/*[local-name(.)='Id'] |
| run_eSearch | wsdl |
Wsdlhttp://eutils.ncbi.nlm.nih.gov/entrez/eutils/soap/eutils.wsdlWsdl Operationrun_eSearch |
| min_date | stringconstant |
Value2000/01/01 |
| extractPMID | localworker |
Scriptimport org.dom4j.Document;
import org.dom4j.Node;
import org.dom4j.io.SAXReader;
SAXReader reader = new SAXReader(false);
reader.setIncludeInternalDTDDeclarations(false);
reader.setIncludeExternalDTDDeclarations(false);
Document document = reader.read(new StringReader(xmltext));
List nodelist = document.selectNodes(xpath);
// Process the elements in the nodelist
ArrayList outputList = new ArrayList();
ArrayList outputXmlList = new ArrayList();
String val = null;
String xmlVal = null;
for (Iterator iter = nodelist.iterator(); iter.hasNext();) {
Node element = (Node) iter.next();
xmlVal = element.asXML();
val = element.getStringValue();
if (val != null && !val.equals("")) {
outputList.add(val);
outputXmlList.add(xmlVal);
}
}
List nodelist=outputList;
List nodelistAsXML=outputXmlList; |
| remove_Nulls_4 | beanshell |
ScriptString[] split = input.split("\n");
Vector nonEmpty = new Vector();
for (int i = 0; i < split.length; i++){
if (!(split[i].equals("")))
{
nonEmpty.add(split[i].trim());
}
}
String[] non_empty = new String[nonEmpty.size()];
for (int i = 0; i < non_empty.length; i ++)
{
non_empty[i] = nonEmpty.elementAt(i);
}
String output = "";
for (int i = 0; i < non_empty.length; i++)
{
output = output + (String) (non_empty[i] + "\n");
} |
| concat_abstract_ids | beanshell |
ScriptString id = id.trim();
String abstract_text = abstract_text.trim();
String[] abstract_array = abstract_text.split("\n");
String abstract_amended = "";
if(abstract_array.length > 1)
{
abstract_amended = abstract_array[0] + " ";
for(int i = 1; i < abstract_array.length; i++)
{
abstract_amended = abstract_amended + abstract_array[i] + " ";
}
}
else
{
abstract_amended = abstract_array[0];
}
String date_text = date_text.trim();
String output = "";
output = id + "\t" + date_text + "\t" + abstract_amended; |
| max_return_phenotype | stringconstant |
Value5000 |
| pubmed_database | stringconstant |
Valuepubmed |
| merge_phenotype_abstracts | beanshell |
ScriptString[] split = abstracts.split("\n");
String phenotype_term = phenotype.trim();
Vector nonEmpty = new Vector();
for (int i = 0; i < split.length; i++)
{
String trimmed = split[i].trim();
// String mytext = split[i].substring(split[i].indexOf(0), split[i].indexOf(" AND "));
nonEmpty.add(trimmed);
}
String output = ">> " + phenotype_term + "\n";
for (int i = 0; i < nonEmpty.size(); i++)
{
output = output + (String) (nonEmpty.elementAt(i) + "\n");
} |
| merge_abstracts | localworker |
ScriptString seperatorString = "\n";
if (seperator != void) {
seperatorString = seperator;
}
StringBuffer sb = new StringBuffer();
for (Iterator i = stringlist.iterator(); i.hasNext();) {
String item = (String) i.next();
sb.append(item);
if (i.hasNext()) {
sb.append(seperatorString);
}
}
concatenated = sb.toString();
|
| max_date | stringconstant |
Value2011/01/31 |
| parametersXML_eSearch | xmlsplitter | |
| merge_abstract_ids | localworker |
ScriptString seperatorString = "\n";
if (seperator != void) {
seperatorString = seperator;
}
StringBuffer sb = new StringBuffer();
for (Iterator i = stringlist.iterator(); i.hasNext();) {
String item = (String) i.next();
sb.append(item);
if (i.hasNext()) {
sb.append(seperatorString);
}
}
concatenated = sb.toString();
|
| merge_dates | localworker |
ScriptString seperatorString = "\n";
if (seperator != void) {
seperatorString = seperator;
}
StringBuffer sb = new StringBuffer();
for (Iterator i = stringlist.iterator(); i.hasNext();) {
String item = (String) i.next();
sb.append(item);
if (i.hasNext()) {
sb.append(seperatorString);
}
}
concatenated = sb.toString();
|
| Fetch_Abstracts | workflow | |
| clean_text_3 | workflow | |
| Encode_byte_to_base64 | localworker |
Scriptimport org.apache.commons.codec.binary.Base64; base64 = new String(Base64.encodeBase64(bytes)); |
| merge_strings_2 | localworker |
ScriptString seperatorString = "\n";
if (seperator != void) {
seperatorString = seperator;
}
StringBuffer sb = new StringBuffer();
for (Iterator i = stringlist.iterator(); i.hasNext();) {
String item = (String) i.next();
sb.append(item);
if (i.hasNext()) {
sb.append(seperatorString);
}
}
concatenated = sb.toString();
|
| regex_3 | stringconstant |
Value\n |
| xpath_2 | stringconstant |
Value/*[local-name(.)='generateTerminologyResponse']/*[local-name(.)='return'] |
| extract_abstracts | beanshell |
ScriptString[] split = input.split("\n");
Vector nonEmpty = new Vector();
for (int i = 1; i < split.length; i++)
{
String trimmed = split[i].trim();
String[] split_2 = trimmed.split("\t");
if(split_2.length == 3)
{
nonEmpty.add(split_2[2]);
}
}
String output_search = split[0] + "\n";
String output = "";
for (int i = 0; i < nonEmpty.size(); i++)
{
output = output + (String) (nonEmpty.elementAt(i) + "\n");
} |
| merge_search_and_terms | beanshell |
ScriptString term_input = terms.trim(); String search_input = search_term.trim(); String output = ""; output = search_input + "\n" + term_input; |
| extract_Terms_2 | localworker |
Scriptimport org.dom4j.Document;
import org.dom4j.Node;
import org.dom4j.io.SAXReader;
SAXReader reader = new SAXReader(false);
reader.setIncludeInternalDTDDeclarations(false);
reader.setIncludeExternalDTDDeclarations(false);
Document document = reader.read(new StringReader(xmltext));
List nodelist = document.selectNodes(xpath);
// Process the elements in the nodelist
ArrayList outputList = new ArrayList();
ArrayList outputXmlList = new ArrayList();
String val = null;
String xmlVal = null;
for (Iterator iter = nodelist.iterator(); iter.hasNext();) {
Node element = (Node) iter.next();
xmlVal = element.asXML();
val = element.getStringValue();
if (val != null && !val.equals("")) {
outputList.add(val);
outputXmlList.add(xmlVal);
}
}
List nodelist=outputList;
List nodelistAsXML=outputXmlList; |
| merge_strings | localworker |
ScriptString seperatorString = "\n";
if (seperator != void) {
seperatorString = seperator;
}
StringBuffer sb = new StringBuffer();
for (Iterator i = stringlist.iterator(); i.hasNext();) {
String item = (String) i.next();
sb.append(item);
if (i.hasNext()) {
sb.append(seperatorString);
}
}
concatenated = sb.toString();
|
| remove_Nulls_5 | beanshell |
ScriptString[] split = input.split("\n");
Vector nonEmpty = new Vector();
for (int i = 0; i < split.length; i++){
if (!(split[i].equals("")))
{
nonEmpty.add(split[i].trim());
}
}
String[] non_empty = new String[nonEmpty.size()];
for (int i = 0; i < non_empty.length; i ++)
{
non_empty[i] = nonEmpty.elementAt(i);
}
String output = "";
for (int i = 0; i < non_empty.length; i++)
{
output = output + (String) (non_empty[i] + "\n");
} |
| Remove_duplicate_strings_2 | localworker |
ScriptList strippedlist = new ArrayList();
for (Iterator i = stringlist.iterator(); i.hasNext();) {
String item = (String) i.next();
if (strippedlist.contains(item) == false) {
strippedlist.add(item);
}
}
|
| split_by_regex | 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]);
}
}
|
| clean_text_4 | soaplab |
Endpointhttp://phoebus.cs.man.ac.uk:1977/axis/services/text_mining.clean_text |
| pubmed_database_2 | stringconstant |
Valuepubmed |
| xpath_3 | stringconstant |
Value/*[local-name(.)='eSearchResult']/*[local-name(.)='Count'] |
| count | stringconstant |
Valuecount |
| xpath_count | stringconstant |
Value/*[local-name(.)='eInfoResult']/*[local-name(.)='DbInfo']/*[local-name(.)='Count'] |
| eSearch_database | stringconstant |
Valuepubmed |
| regular_expression_2 | stringconstant |
Value\n |
| extract_terms_3 | beanshell |
ScriptString[] split = input.split("\n");
Vector nonEmpty = new Vector();
for (int i = 1; i < split.length; i++)
{
String trimmed = split[i].trim();
// if((trimmed.contains("=")) || (trimmed.contains("-")))
// {
// next;
// }
// else
// {
// String[] trimmed_array = trimmed.split("\t");
// String term = trimmed_array[0];
nonEmpty.add(trimmed);
// }
}
String output = "";
for (int i = 0; i < nonEmpty.size(); i++)
{
output = output + (String) (nonEmpty.elementAt(i) + "\n");
} |
| merge_term_count | beanshell |
ScriptString term_input = term.trim(); String count_input = count.trim(); String output = ""; output = term_input + "\t" + count_input; |
| split_extracted_terms | 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]);
}
}
|
| merge_pubmed_count | localworker |
ScriptString seperatorString = "\n";
if (seperator != void) {
seperatorString = seperator;
}
StringBuffer sb = new StringBuffer();
for (Iterator i = stringlist.iterator(); i.hasNext();) {
String item = (String) i.next();
sb.append(item);
if (i.hasNext()) {
sb.append(seperatorString);
}
}
concatenated = sb.toString();
|
| merge_extracted | localworker |
ScriptString seperatorString = "\n";
if (seperator != void) {
seperatorString = seperator;
}
StringBuffer sb = new StringBuffer();
for (Iterator i = stringlist.iterator(); i.hasNext();) {
String item = (String) i.next();
sb.append(item);
if (i.hasNext()) {
sb.append(seperatorString);
}
}
concatenated = sb.toString();
|
| merge_list | localworker |
ScriptString seperatorString = "\n";
if (seperator != void) {
seperatorString = seperator;
}
StringBuffer sb = new StringBuffer();
for (Iterator i = stringlist.iterator(); i.hasNext();) {
String item = (String) i.next();
sb.append(item);
if (i.hasNext()) {
sb.append(seperatorString);
}
}
concatenated = sb.toString();
|
| extractCount_2 | localworker |
Scriptimport org.dom4j.Document;
import org.dom4j.Node;
import org.dom4j.io.SAXReader;
SAXReader reader = new SAXReader(false);
reader.setIncludeInternalDTDDeclarations(false);
reader.setIncludeExternalDTDDeclarations(false);
Document document = reader.read(new StringReader(xmltext));
List nodelist = document.selectNodes(xpath);
// Process the elements in the nodelist
ArrayList outputList = new ArrayList();
ArrayList outputXmlList = new ArrayList();
String val = null;
String xmlVal = null;
for (Iterator iter = nodelist.iterator(); iter.hasNext();) {
Node element = (Node) iter.next();
xmlVal = element.asXML();
val = element.getStringValue();
if (val != null && !val.equals("")) {
outputList.add(val);
outputXmlList.add(xmlVal);
}
}
List nodelist=outputList;
List nodelistAsXML=outputXmlList; |
| extractCount | localworker |
Scriptimport org.dom4j.Document;
import org.dom4j.Node;
import org.dom4j.io.SAXReader;
SAXReader reader = new SAXReader(false);
reader.setIncludeInternalDTDDeclarations(false);
reader.setIncludeExternalDTDDeclarations(false);
Document document = reader.read(new StringReader(xmltext));
List nodelist = document.selectNodes(xpath);
// Process the elements in the nodelist
ArrayList outputList = new ArrayList();
ArrayList outputXmlList = new ArrayList();
String val = null;
String xmlVal = null;
for (Iterator iter = nodelist.iterator(); iter.hasNext();) {
Node element = (Node) iter.next();
xmlVal = element.asXML();
val = element.getStringValue();
if (val != null && !val.equals("")) {
outputList.add(val);
outputXmlList.add(xmlVal);
}
}
List nodelist=outputList;
List nodelistAsXML=outputXmlList; |
| parametersXML_1 | xmlsplitter | |
| run_eInfo | wsdl |
Wsdlhttp://eutils.ncbi.nlm.nih.gov/soap/v2.0/eutils.wsdlWsdl Operationrun_eInfo |
| run_eSearch_2 | wsdl |
Wsdlhttp://eutils.ncbi.nlm.nih.gov/soap/v2.0/eutils.wsdlWsdl Operationrun_eSearch |
| run_eSearch_request | xmlsplitter | |
| GENE_RankPhenotypeTerms | workflow | |
| max_return_gene | stringconstant |
Value500 |
| PATHWAY_RankPhenotypeTerms | workflow | |
| split_search_terms_2 | 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]);
}
}
|
| pathway_and_abstract | beanshell |
ScriptString[] split = abstracts.split("\n");
String pathway_name = pathway;
Vector nonEmpty = new Vector();
for (int i = 0; i < split.length; i++)
{
String trimmed = split[i].trim();
nonEmpty.add(trimmed);
}
String output = ">> " + pathway_name + "\n";
for (int i = 0; i < nonEmpty.size(); i++)
{
output = output + (String) (nonEmpty.elementAt(i) + "\n");
} |
| remove_nulls_3 | beanshell |
ScriptString[] split = input.split("\n");
Vector nonEmpty = new Vector();
for (int i = 0; i < split.length; i++){
if (!(split[i].equals("")))
{
nonEmpty.add(split[i].trim());
}
}
String[] non_empty = new String[nonEmpty.size()];
for (int i = 0; i < non_empty.length; i ++)
{
non_empty[i] = nonEmpty.elementAt(i);
}
String output = "";
for (int i = 0; i < non_empty.length; i++)
{
output = output + (String) (non_empty[i] + "\n");
} |
| merge_outputs_2_2 | localworker |
ScriptString seperatorString = "\n";
if (seperator != void) {
seperatorString = seperator;
}
StringBuffer sb = new StringBuffer();
for (Iterator i = stringlist.iterator(); i.hasNext();) {
String item = (String) i.next();
sb.append(item);
if (i.hasNext()) {
sb.append(seperatorString);
}
}
concatenated = sb.toString();
|
| regex_2 | stringconstant |
Value\n |
| extract_terms | beanshell |
ScriptString[] split = input.split("\n");
Vector nonEmpty = new Vector();
for (int i = 0; i < split.length; i++)
{
String mytext = split[i].substring(split[i].indexOf(" "), split[i].lastIndexOf(" - "));
nonEmpty.add(mytext);
}
String output = "";
for (int i = 0; i < nonEmpty.size(); i++)
{
output = output + (String) (nonEmpty.elementAt(i) + "\n");
} |
| add_MeSH_to_string | beanshell |
ScriptString[] split = input.split("\n");
Vector nonEmpty = new Vector();
for (int i = 0; i < split.length; i++)
{
String trimmed = split[i].trim();
nonEmpty.add(trimmed);
}
String output = "";
for (int i = 0; i < nonEmpty.size(); i++)
{
output = output + (String) (nonEmpty.elementAt(i) + " AND \"Metabolic Networks and Pathways\"[MeSH Terms]" + "\n");
} |
| Search_PubMed_2 | workflow | |
| clean_text_2 | workflow | |
| generateTerminology | wsdl |
Wsdlhttp://projects.biotec.tu-dresden.de/DOG4DAG_TAVERNA/services/GoPubMedTermGeneration?wsdlWsdl OperationgenerateTerminology |
| generateTerminology_input | xmlsplitter | |
| applicationCode_value | stringconstant |
Value20110209_taverna |
Beanshells (22)
| Name | Description | Inputs | Outputs |
|---|---|---|---|
| remove_nulls | input | output | |
| gene_and_abstract |
pathway abstracts |
output | |
| remove_Nulls_2 | input | output | |
| remove_Nulls_4 | input | output | |
| concat_abstract_ids |
id abstract_text date_text |
output | |
| merge_phenotype_abstracts |
phenotype abstracts |
output | |
| extract_abstracts | input |
output output_search |
|
| merge_search_and_terms |
terms search_term |
output | |
| remove_Nulls_5 | input | output | |
| extract_terms_3 | input | output | |
| merge_term_count |
term count |
output | |
| pathway_and_abstract |
pathway abstracts |
output | |
| remove_nulls_3 | input | output | |
| extract_terms | input | output | |
| add_MeSH_to_string | input | output | |
| format_rankings | ranked_terms | title_term_rankings | |
| remove_Nulls | input | output | |
| stringToBytes | string | bytes | |
| concat_abstract_ids |
id abstract_text date_text |
output | |
| concat_abstract_ids |
id abstract_text date_text |
output | |
| stringToBytes | string | bytes | |
| stringToBytes | string | bytes |
Outputs (10)
| Name | Description |
|---|---|
| gene_abstracts | |
| phenotype_abstracts | |
| phenotype_terms | |
| phenotype_term_counts | |
| pubmed_abstract_number | |
| gene_cosine | |
| gene_term_enrichment_scores | |
| pathway_abstracts | |
| pathway_cosine_vector_scores | |
| pathway_concept_rankings |
Datalinks (101)
| Source | Sink |
|---|---|
| gene_and_abstract:output | remove_nulls:input |
| Search_PubMed:concat_data | gene_and_abstract:abstracts |
| split_search_terms:split | gene_and_abstract:pathway |
| regex:value | split_search_terms:regex |
| remove_Nulls_2:output | split_search_terms:string |
| clean_text:cleaned_text | merge_outputs_2:stringlist |
| split_search_terms:split | Search_PubMed:search_term |
| min_date:value | Search_PubMed:min_date |
| max_date:value | Search_PubMed:max_date |
| max_return_gene:value | Search_PubMed:max_return |
| remove_nulls:output | clean_text:input |
| split_gene_names:split | Remove_duplicate_genes:stringlist |
| gene_names | split_gene_names:string |
| regular_expression:value | split_gene_names:regex |
| Merge_string_list_to_string:concatenated | remove_Nulls_2:input |
| Remove_duplicate_genes:strippedlist | Merge_string_list_to_string:stringlist |
| parametersXML_eSearch:output | run_eSearch:parameters |
| xpath:value | extractPMID:xpath |
| run_eSearch:parameters | extractPMID:xml-text |
| merge_phenotype_abstracts:output | remove_Nulls_4:input |
| extractPMID:nodelist | concat_abstract_ids:id |
| merge_abstracts:concatenated | concat_abstract_ids:abstract_text |
| merge_dates:concatenated | concat_abstract_ids:date_text |
| merge_abstract_ids:concatenated | merge_phenotype_abstracts:abstracts |
| Phenotype_search_term | merge_phenotype_abstracts:phenotype |
| Fetch_Abstracts:abstracts | merge_abstracts:stringlist |
| max_return_phenotype:value | parametersXML_eSearch:RetMax |
| pubmed_database:value | parametersXML_eSearch:db |
| max_date:value | parametersXML_eSearch:maxdate |
| min_date:value | parametersXML_eSearch:mindate |
| Phenotype_search_term | parametersXML_eSearch:term |
| concat_abstract_ids:output | merge_abstract_ids:stringlist |
| Fetch_Abstracts:pubmed_dates | merge_dates:stringlist |
| extractPMID:nodelist | Fetch_Abstracts:pubmed_ids |
| remove_Nulls_4:output | clean_text_3:input |
| clean_text_3:cleaned_text | Encode_byte_to_base64:bytes |
| merge_strings:concatenated | merge_strings_2:stringlist |
| clean_text_4:output | extract_abstracts:input |
| merge_strings_2:concatenated | merge_search_and_terms:terms |
| extract_abstracts:output_search | merge_search_and_terms:search_term |
| xpath_2:value | extract_Terms_2:xpath |
| generateTerminology:parameters | extract_Terms_2:xml-text |
| Remove_duplicate_strings_2:strippedlist | merge_strings:stringlist |
| merge_search_and_terms:output | remove_Nulls_5:input |
| extract_Terms_2:nodelist | Remove_duplicate_strings_2:stringlist |
| regex_3:value | split_by_regex:regex |
| extract_abstracts:output | split_by_regex:string |
| Encode_byte_to_base64:base64 | clean_text_4:file_direct_data |
| remove_Nulls_5:output | extract_terms_3:input |
| split_extracted_terms:split | merge_term_count:term |
| merge_extracted:concatenated | merge_term_count:count |
| extract_terms_3:output | split_extracted_terms:string |
| regular_expression_2:value | split_extracted_terms:regex |
| extractCount:nodelist | merge_pubmed_count:stringlist |
| extractCount_2:nodelist | merge_extracted:stringlist |
| merge_term_count:output | merge_list:stringlist |
| xpath_3:value | extractCount_2:xpath |
| run_eSearch_2:result | extractCount_2:xml-text |
| xpath_count:value | extractCount:xpath |
| run_eInfo:result | extractCount:xml-text |
| pubmed_database_2:value | parametersXML_1:db |
| parametersXML_1:output | run_eInfo:request |
| run_eSearch_request:output | run_eSearch_2:request |
| eSearch_database:value | run_eSearch_request:db |
| count:value | run_eSearch_request:rettype |
| split_extracted_terms:split | run_eSearch_request:term |
| min_date:value | run_eSearch_request:mindate |
| max_date:value | run_eSearch_request:maxdate |
| merge_pubmed_count:concatenated | GENE_RankPhenotypeTerms:pubmed_abstract_number |
| merge_list:concatenated | GENE_RankPhenotypeTerms:phenotype_term_counts |
| merge_outputs_2:concatenated | GENE_RankPhenotypeTerms:query_abstracts |
| clean_text_3:cleaned_text | GENE_RankPhenotypeTerms:phenotype_abstracts |
| remove_Nulls_5:output | GENE_RankPhenotypeTerms:phenotype_terms |
| merge_outputs_2_2:concatenated | PATHWAY_RankPhenotypeTerms:query_abstracts |
| clean_text_3:cleaned_text | PATHWAY_RankPhenotypeTerms:phenotype_abstracts |
| merge_pubmed_count:concatenated | PATHWAY_RankPhenotypeTerms:pubmed_abstract_number |
| merge_list:concatenated | PATHWAY_RankPhenotypeTerms:phenotype_term_counts |
| remove_Nulls_5:output | PATHWAY_RankPhenotypeTerms:phenotype_terms |
| add_MeSH_to_string:output | split_search_terms_2:string |
| regex_2:value | split_search_terms_2:regex |
| Search_PubMed_2:concat_data | pathway_and_abstract:abstracts |
| split_search_terms_2:split | pathway_and_abstract:pathway |
| pathway_and_abstract:output | remove_nulls_3:input |
| clean_text_2:cleaned_text | merge_outputs_2_2:stringlist |
| pathway_descriptions | extract_terms:input |
| extract_terms:output | add_MeSH_to_string:input |
| split_search_terms_2:split | Search_PubMed_2:Pathway_search_term |
| remove_nulls_3:output | clean_text_2:input |
| generateTerminology_input:output | generateTerminology:parameters |
| split_by_regex:split | generateTerminology_input:texts |
| applicationCode_value:value | generateTerminology_input:applicationCode |
| merge_outputs_2:concatenated | gene_abstracts |
| clean_text_3:cleaned_text | phenotype_abstracts |
| remove_Nulls_5:output | phenotype_terms |
| merge_list:concatenated | phenotype_term_counts |
| merge_pubmed_count:concatenated | pubmed_abstract_number |
| GENE_RankPhenotypeTerms:cosine_vector_scores | gene_cosine |
| GENE_RankPhenotypeTerms:concept_rankings | gene_term_enrichment_scores |
| merge_outputs_2_2:concatenated | pathway_abstracts |
| PATHWAY_RankPhenotypeTerms:cosine_vector_scores | pathway_cosine_vector_scores |
| PATHWAY_RankPhenotypeTerms:concept_rankings | pathway_concept_rankings |
Coordinations (0)
None
Workflow Type
Version 1 (earliest)
(of 2)
(People/Groups)
(Workflows/Files)
- annotation
- |
- concept
- |
- concept profile
- |
- controlled vocabulary
- |
- cosine vector space
- |
- data integration
- |
- data-driven
- |
- dresden
- |
- efetch
- |
- enrichment
- |
- entity recognition
- |
- esearch
- |
- eutils
- |
- gene
- |
- gene identifier
- |
- geneid
- |
- genotype
- |
- kegg
- |
- Kegg Pathways
- |
- KeggID
- |
- literature
- |
- loci
- |
- locus
- |
- medline
- |
- mesh
- |
- pathway
- |
- pathway-driven
- |
- pathways
- |
- phenotype
- |
- pubmed
- |
- qtl
- |
- quanitative
- |
- text mining
- |
- text mining; term extraction; entity recognition
- |
- trait
- |
- triat
- annotation
- |
- concept
- |
- concept profile
- |
- controlled vocabulary
- |
- cosine vector space
- |
- data integration
- |
- data-driven
- |
- dresden
- |
- efetch
- |
- enrichment
- |
- entity recognition
- |
- esearch
- |
- eutils
- |
- gene
- |
- gene identifier
- |
- geneid
- |
- genotype
- |
- kegg
- |
- Kegg Pathways
- |
- KeggID
- |
- literature
- |
- loci
- |
- locus
- |
- medline
- |
- mesh
- |
- pathway
- |
- pathway-driven
- |
- pathways
- |
- phenotype
- |
- pubmed
- |
- qtl
- |
- quanitative
- |
- text mining
- |
- text mining; term extraction; entity recognition
- |
- trait
- |
- triat
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Version History
In chronological order:
-
Created by Paul Fisher on Thursday 10 February 2011 16:10:52 (UTC)
Last edited by Paul Fisher on Thursday 10 February 2011 16:15:43 (UTC)
-
Created by Paul Fisher on Friday 18 February 2011 13:45:51 (UTC)
Last edited by Paul Fisher on Friday 18 February 2011 13:47:08 (UTC)
Revision comment:Updated the description and added dates to term counting
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Other workflows that use similar services
(35)
Only the first 2 workflows that use similar services are shown. View all workflows that use these services.
Gene to Pubmed
(4)
Created: 2011-02-08 | Last updated: 2011-02-10
Credits:
Paul Fisher
Attributions:
Cosine vector space
Extract Scientific Terms
Rank Phenotype Terms
Cosine vector space
Rank Phenotype Terms
Pathway to Pubmed
Extract Scientific Terms
PubMed Search
(1)
Created: 2011-02-03 | Last updated: 2011-02-03
Credits:
Paul Fisher
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