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The following API can be used to get experimentally validated table results of the miRNA-target interactions (forward mapping):
POST table/mir
{
"org": "hsa",
"idOpt": "mir_id",
"selSource": "Kidney",
"targetOpt": "gene",
"myList": "hsa-mir-101-3p;hsa-mir-133b;hsa-mir-147a;hsa-mir-3140-3p;hsa-mir-361-5p;hsa-mir-510-5p"
}
The different options for input parameters are given below: <org> = hsa | mmu | rno | bta | ssc | gga | dre | cel | dme | sma hsa - H. sapiens (human) mmu - M. musculus (mouse) rno - R. norvegicus (rat) bta - B. taurus (cattle) ssc - S. scrofa (pig) gga - G. gallus (chicken) dre - D. rerio (zebrafish) cel - C. elegans (roundworm) dme - D. melanogaster (fruitfly) sma - S. mansoni (blood fluke) <idOpt> = mir_id | mir_acc mir_id - miRBase ID mir_acc - miRBase Accession <selSource> = Exosomes | Bone marrow | Kidney | Pancreas | Cervix | Mammary gland | Brain | Liver | Placenta | Embryo | Bone | Intestine | Lung | Breast cancerous tissues | Umbilical vein | Peripheral blood | Skin | Prostate | Gastric | Testis | Muscle | Stomach | Head/neck | Bronchus | Nervous | Others <targetOpt> = gene
A list of examples for calling /table/mir using several programming languages is shown below: R request using httr require("httr") #install.packages("httr") require("jsonlite") #install.packages("jsonlite") base <- "http://api.mirnet.ca" endpoint <- "/table/mir" call <- paste(base, endpoint, sep="") query_input <- "hsa-mir-101-3p;hsa-mir-133b;hsa-mir-147a;hsa-mir-3140-3p;hsa-mir-361-5p;hsa-mir-510-5p" query_results <- POST(call, body = list(org = "hsa", idOpt = "mir_id", selSource = "Kidney", targetOpt = "gene", myList = query_input), encode = "json") query_results_text <- content(query_results, "text") query_results_json <- fromJSON(query_results_text, flatten = TRUE) query_results_df <- as.data.frame(query_results_json) JavaScript Jquery AJAX var settings = { "url": "http://api.mirnet.ca/table/mir", "method": "POST", "timeout": 0, "headers": { "Content-Type": "application/json" }, "data": JSON.stringify({"org":"hsa","idOpt":"mir_id","selSource":"Kidney","targetOpt":"gene","myList":"hsa-mir-101-3p;hsa-mir-133b;hsa-mir-147a;hsa-mir-3140-3p;hsa-mir-361-5p;hsa-mir-510-5p"}), }; $.ajax(settings).done(function (response) { console.log(response); }); cURL (command line) curl --location --request POST 'http://api.mirnet.ca/table/mir' \ --header 'Content-Type: application/json' \ --data-raw '{ "org": "hsa", "idOpt": "mir_id", "selSource": "Kidney", "targetOpt": "gene", "myList": "hsa-mir-101-3p;hsa-mir-133b;hsa-mir-147a;hsa-mir-3140-3p;hsa-mir-361-5p;hsa-mir-510-5p" }' Java Unirest HttpResponse<String> response = Unirest.post("http://api.mirnet.ca/table/mir") .header("Content-Type", "application/json") .body("{\n\t\"org\": \"hsa\",\n\t\"idOpt\": \"mir_id\",\n\t\"selSource\": \"Kidney\",\n\"targetOpt\": \"gene\",\n\t\"myList\": \"hsa-mir-101-3p;hsa-mir-133b;hsa-mir-147a;hsa-mir-3140-3p;hsa-mir-361-5p;hsa-mir-510-5p\"\n}\n") .asString(); Python Requests import requests url = "http://api.mirnet.ca/table/mir" payload = "{\n\t\"org\": \"hsa\",\n\t\"idOpt\": \"mir_id\",\n\t\"selSource\": \"Kidney\",\n\"targetOpt\": \"gene\",\n\t\"myList\": \"hsa-mir-101-3p;hsa-mir-133b;hsa-mir-147a;hsa-mir-3140-3p;hsa-mir-361-5p;hsa-mir-510-5p\"\n}\n" headers = { 'Content-Type': 'application/json' } response = requests.request("POST", url, headers=headers, data = payload) print(response.text.encode('utf8'))
The following API can be used to get experimentally validated table results of the miRNA-target interactions (reverse mapping):
POST table/gene
{
"org": "hsa",
"idOpt": "symbol",
"selSource": "Bone marrow",
"myList": "ACAT1;DDX3X;MEGF9;FMR1;HAPLN1;IL12A;OLR1;RNF6;SOD3;ELOVL4;MRAP2"
}
The different options for input parameters are given below: <org> = hsa | mmu | rno | bta | ssc | gga | dre | cel | dme | sma hsa - H. sapiens (human) mmu - M. musculus (mouse) rno - R. norvegicus (rat) bta - B. taurus (cattle) ssc - S. scrofa (pig) gga - G. gallus (chicken) dre - D. rerio (zebrafish) cel - C. elegans (roundworm) dme - D. melanogaster (fruitfly) sma - S. mansoni (blood fluke) <idOpt> = symbol | entrez | embl symbol - Official gene symbo entrez - Entrez gene ID embl - Ensembl gene ID <selSource> = Exosomes | Bone marrow | Kidney | Pancreas | Cervix | Mammary gland | Brain | Liver | Placenta | Embryo | Bone | Intestine | Lung | Breast cancerous tissues | Umbilical vein | Peripheral blood | Skin | Prostate | Gastric | Testis | Muscle | Stomach | Head/neck | Bronchus | Nervous | Others
A list of examples for calling /table/gene using several programming languages is shown below: R request using httr require("httr") #install.packages("httr") require("jsonlite") #install.packages("jsonlite") base <- "http://api.mirnet.ca" endpoint <- "/table/gene" call <- paste(base, endpoint, sep="") query_input <- "ACAT1;DDX3X;MEGF9;FMR1;HAPLN1;IL12A;OLR1;RNF6;SOD3;ELOVL4;MRAP2" query_results <- POST(call, body = list(org = "hsa", idOpt = "symbol", selSource = "Bone marrow", myList = query_input), encode = "json") query_results_text <- content(query_results, "text") query_results_json <- fromJSON(query_results_text, flatten = TRUE) query_results_df <- as.data.frame(query_results_json) JavaScript Jquery AJAX var settings = { "url": "http://api.mirnet.ca/table/gene", "method": "POST", "timeout": 0, "headers": { "Content-Type": "application/json" }, "data": JSON.stringify({"org":"hsa","idOpt":"symbol","selSource":"Bone marrow","myList":"ACAT1;DDX3X;MEGF9;FMR1;HAPLN1;IL12A;OLR1;RNF6;SOD3;ELOVL4;MRAP2"}), }; $.ajax(settings).done(function (response) { console.log(response); }); cURL (command line) curl --location --request POST 'http://api.mirnet.ca/table/gene' \ --header 'Content-Type: application/json' \ --data-raw '{ "org": "hsa", "idOpt": "symbol", "selSource": "Bone marrow", "myList": "ACAT1;DDX3X;MEGF9;FMR1;HAPLN1;IL12A;OLR1;RNF6;SOD3;ELOVL4;MRAP2" }' Java Unirest HttpResponse<String> response = Unirest.post("http://api.mirnet.ca/table/gene") .header("Content-Type", "application/json") .body("{\n\t\"org\": \"hsa\",\n\t\"idOpt\": \"symbol\",\n\t\"selSource\": \"Bone marrow\",\n\t\"myList\": \"ACAT1;DDX3X;MEGF9;FMR1;HAPLN1;IL12A;OLR1;RNF6;SOD3;ELOVL4;MRAP2\"\n}\n") .asString(); Python Requests import requests url = "http://api.mirnet.ca/table/gene" payload = "{\n\t\"org\": \"hsa\",\n\t\"idOpt\": \"symbol\",\n\t\"selSource\": \"Bone marrow\",\n\t\"myList\": \"ACAT1;DDX3X;MEGF9;FMR1;HAPLN1;IL12A;OLR1;RNF6;SOD3;ELOVL4;MRAP2\"\n}\n" headers = { 'Content-Type': 'application/json' } response = requests.request("POST", url, headers=headers, data = payload) print(response.text.encode('utf8'))
The following API can be used to get graph data of miRNA-target interactions (json):
POST graph/mir
{
"org": "hsa",
"idOpt": "mir_id",
"selSource": "Kidney",
"targetOpt": "gene",
"myList": "hsa-mir-101-3p;hsa-mir-133b;hsa-mir-147a;hsa-mir-3140-3p;hsa-mir-361-5p;hsa-mir-510-5p"
}
The different options for input parameters are given below: <org> = hsa | mmu | rno | bta | ssc | gga | dre | cel | dme | sma hsa - H. sapiens (human) mmu - M. musculus (mouse) rno - R. norvegicus (rat) bta - B. taurus (cattle) ssc - S. scrofa (pig) gga - G. gallus (chicken) dre - D. rerio (zebrafish) cel - C. elegans (roundworm) dme - D. melanogaster (fruitfly) sma - S. mansoni (blood fluke) <idOpt> = mir_id | mir_acc mir_id - miRBase ID mir_acc - miRBase Accession <selSource> = Exosomes | Bone marrow | Kidney | Pancreas | Cervix | Mammary gland | Brain | Liver | Placenta | Embryo | Bone | Intestine | Lung | Breast cancerous tissues | Umbilical vein | Peripheral blood | Skin | Prostate | Gastric | Testis | Muscle | Stomach | Head/neck | Bronchus | Nervous | Others <targetOpt> = gene
A list of examples for calling /graph/mir using several programming languages is shown below: R request using httr require("httr") #install.packages("httr") require("jsonlite") #install.packages("jsonlite") base <- "http://api.mirnet.ca" endpoint <- "/graph/mir" call <- paste(base, endpoint, sep="") query_input <- "hsa-mir-101-3p;hsa-mir-133b;hsa-mir-147a;hsa-mir-3140-3p;hsa-mir-361-5p;hsa-mir-510-5p" query_results <- POST(call, body = list(org = "hsa", idOpt = "mir_id", selSource = "Kidney", targetOpt = "gene", myList = query_input), encode = "json") query_results_text <- content(query_results, "text") query_results_json <- fromJSON(query_results_text, flatten = TRUE) sink("query_results.json") cat(query_results_json) sink() JavaScript Jquery AJAX var settings = { "url": "http://api.mirnet.ca/graph/mir", "method": "POST", "timeout": 0, "headers": { "Content-Type": "application/json" }, "data": JSON.stringify({"org":"hsa","idOpt":"mir_id","selSource":"Kidney","targetOpt":"gene","myList":"hsa-mir-101-3p;hsa-mir-133b;hsa-mir-147a;hsa-mir-3140-3p;hsa-mir-361-5p;hsa-mir-510-5p"}), }; $.ajax(settings).done(function (response) { console.log(response); }); cURL (command line) curl --location --request POST 'http://api.mirnet.ca/graph/mir' \ --header 'Content-Type: application/json' \ --data-raw '{ "org": "hsa", "idOpt": "mir_id", "selSource": "Kidney", "targetOpt": "gene", "myList": "hsa-mir-101-3p;hsa-mir-133b;hsa-mir-147a;hsa-mir-3140-3p;hsa-mir-361-5p;hsa-mir-510-5p" }' Java Unirest HttpResponse<String> response = Unirest.post("http://api.mirnet.ca/graph/mir") .header("Content-Type", "application/json") .body("{\n\t\"org\": \"hsa\",\n\t\"idOpt\": \"mir_id\",\n\t\"selSource\": \"Kidney\",\n\"targetOpt\": \"gene\",\n\t\"myList\": \"hsa-mir-101-3p;hsa-mir-133b;hsa-mir-147a;hsa-mir-3140-3p;hsa-mir-361-5p;hsa-mir-510-5p\"\n}\n") .asString(); Python Requests import requests url = "http://api.mirnet.ca/graph/mir" payload = "{\n\t\"org\": \"hsa\",\n\t\"idOpt\": \"mir_id\",\n\t\"selSource\": \"Kidney\",\n\"targetOpt\": \"gene\",\n\t\"myList\": \"hsa-mir-101-3p;hsa-mir-133b;hsa-mir-147a;hsa-mir-3140-3p;hsa-mir-361-5p;hsa-mir-510-5p\"\n}\n" headers = { 'Content-Type': 'application/json' } response = requests.request("POST", url, headers=headers, data = payload) print(response.text.encode('utf8'))
The following API can be used to get graph data of miRNA-target interactions given a gene list input (json):
POST graph/gene
{
"org": "hsa",
"idOpt": "symbol",
"selSource": "Bone marrow",
"myList": "ACAT1;DDX3X;MEGF9;FMR1;HAPLN1;IL12A;OLR1;RNF6;SOD3;ELOVL4;MRAP2"
}
The different options for input parameters are given below: <org> = hsa | mmu | rno | bta | ssc | gga | dre | cel | dme | sma hsa - H. sapiens (human) mmu - M. musculus (mouse) rno - R. norvegicus (rat) bta - B. taurus (cattle) ssc - S. scrofa (pig) gga - G. gallus (chicken) dre - D. rerio (zebrafish) cel - C. elegans (roundworm) dme - D. melanogaster (fruitfly) sma - S. mansoni (blood fluke) <idOpt> = symbol | entrez | embl symbol - Official gene symbo entrez - Entrez gene ID embl - Ensembl gene ID <selSource> = Exosomes | Bone marrow | Kidney | Pancreas | Cervix | Mammary gland | Brain | Liver | Placenta | Embryo | Bone | Intestine | Lung | Breast cancerous tissues | Umbilical vein | Peripheral blood | Skin | Prostate | Gastric | Testis | Muscle | Stomach | Head/neck | Bronchus | Nervous | Others
A list of examples for calling /graph/gene using several programming languages is shown below: R request using httr require("httr") #install.packages("httr") require("jsonlite") #install.packages("jsonlite") base <- "http://api.mirnet.ca" endpoint <- "/graph/gene" call <- paste(base, endpoint, sep="") query_input <- "ACAT1;DDX3X;MEGF9;FMR1;HAPLN1;IL12A;OLR1;RNF6;SOD3;ELOVL4;MRAP2" query_results <- POST(call, body = list(org = "hsa", idOpt = "symbol", selSource = "Bone marrow", myList = query_input), encode = "json") query_results_text <- content(query_results, "text") query_results_json <- fromJSON(query_results_text, flatten = TRUE) sink("query_results.json") cat(query_results_json) sink() JavaScript Jquery AJAX var settings = { "url": "http://api.mirnet.ca/graph/gene", "method": "POST", "timeout": 0, "headers": { "Content-Type": "application/json" }, "data": JSON.stringify({"org":"hsa","idOpt":"symbol","selSource":"Bone marrow","myList":"ACAT1;DDX3X;MEGF9;FMR1;HAPLN1;IL12A;OLR1;RNF6;SOD3;ELOVL4;MRAP2"}), }; $.ajax(settings).done(function (response) { console.log(response); }); cURL (command line) curl --location --request POST 'http://api.mirnet.ca/graph/gene' \ --header 'Content-Type: application/json' \ --data-raw '{ "org": "hsa", "idOpt": "symbol", "selSource": "Bone marrow", "myList": "ACAT1;DDX3X;MEGF9;FMR1;HAPLN1;IL12A;OLR1;RNF6;SOD3;ELOVL4;MRAP2" }' Java Unirest HttpResponse<String> response = Unirest.post("http://api.mirnet.ca/graph/gene") .header("Content-Type", "application/json") .body("{\n\t\"org\": \"hsa\",\n\t\"idOpt\": \"symbol\",\n\t\"selSource\": \"Bone marrow\",\n\t\"myList\": \"ACAT1;DDX3X;MEGF9;FMR1;HAPLN1;IL12A;OLR1;RNF6;SOD3;ELOVL4;MRAP2\"\n}\n") .asString(); Python Requests import requests url = "http://api.mirnet.ca/graph/gene" payload = "{\n\t\"org\": \"hsa\",\n\t\"idOpt\": \"symbol\",\n\t\"selSource\": \"Bone marrow\",\n\t\"myList\": \"ACAT1;DDX3X;MEGF9;FMR1;HAPLN1;IL12A;OLR1;RNF6;SOD3;ELOVL4;MRAP2\"\n}\n" headers = { 'Content-Type': 'application/json' } response = requests.request("POST", url, headers=headers, data = payload) print(response.text.encode('utf8'))
The following API can be used to get functional enrichment results for miRNA-target interactions:
POST function/mir
{
"org": "hsa",
"idOpt": "mir_id",
"selSource": "Kidney",
"targetOpt": "gene",
"myList": "hsa-mir-101-3p;hsa-mir-133b;hsa-mir-147a;hsa-mir-3140-3p;hsa-mir-361-5p;hsa-mir-510-5p",
"algorithm": "hyp",
"dbType": "mirfamily"
}
The different options for input parameters are given below: <org> = hsa | mmu | rno | bta | ssc | gga | dre | cel | dme | sma hsa - H. sapiens (human) mmu - M. musculus (mouse) rno - R. norvegicus (rat) bta - B. taurus (cattle) ssc - S. scrofa (pig) gga - G. gallus (chicken) dre - D. rerio (zebrafish) cel - C. elegans (roundworm) dme - D. melanogaster (fruitfly) sma - S. mansoni (blood fluke) <idOpt> = mir_id | mir_acc mir_id - miRBase ID mir_acc - miRBase Accession <selSource> = Exosomes | Bone marrow | Kidney | Pancreas | Cervix | Mammary gland | Brain | Liver | Placenta | Embryo | Bone | Intestine | Lung | Breast cancerous tissues | Umbilical vein | Peripheral blood | Skin | Prostate | Gastric | Testis | Muscle | Stomach | Head/neck | Bronchus | Nervous | Others <targetOpt> = gene <algorithm> = hyp hyp -- Hypergeometric test <dbType> = mirfamily | tissue | func | hmdd | Cluster | tf mirfamily - miRNA Family tissue - miRNA Tissue func - miRNA Function hmdd - miRNA Disease cluster - miRNA Cluster tf - miRNA TF
A list of examples for calling /function/mir using several programming languages is shown below: R request using httr require("httr") #install.packages("httr") require("jsonlite") #install.packages("jsonlite") base <- "http://api.mirnet.ca" endpoint <- "/function/mir" call <- paste(base, endpoint, sep="") query_input <- "hsa-mir-101-3p;hsa-mir-133b;hsa-mir-147a;hsa-mir-3140-3p;hsa-mir-361-5p;hsa-mir-510-5p" query_results <- POST(call, body = list(org = "hsa", idOpt = "mir_id", selSource = "Kidney", targetOpt = "gene", algorithm = "hyp", dbType = "mirfamily", myList = query_input), encode = "json") query_results_text <- content(query_results, "text") query_results_json <- fromJSON(query_results_text, flatten = TRUE) sink("query_results.json") cat(query_results_json) sink() JavaScript Jquery AJAX var settings = { "url": "http://api.mirnet.ca/function/mir", "method": "POST", "timeout": 0, "headers": { "Content-Type": "application/json" }, "data": JSON.stringify({"org":"hsa","idOpt":"mir_id","selSource":"Kidney","targetOpt":"gene","myList":"hsa-mir-101-3p;hsa-mir-133b;hsa-mir-147a;hsa-mir-3140-3p;hsa-mir-361-5p;hsa-mir-510-5p","algorithm":"hyp","dbType":"mirfamily"}), }; $.ajax(settings).done(function (response) { console.log(response); }); cURL (command line) curl --location --request POST 'http://api.mirnet.ca/function/mir' \ --header 'Content-Type: application/json' \ --data-raw '{ "org": "hsa", "idOpt": "mir_id", "selSource": "Kidney", "targetOpt": "gene", "myList": "hsa-mir-101-3p;hsa-mir-133b;hsa-mir-147a;hsa-mir-3140-3p;hsa-mir-361-5p;hsa-mir-510-5p", "algorithm": "hyp", "dbType": "mirfamily" }' Java Unirest HttpResponse<String> response = Unirest.post("http://api.mirnet.ca/function/mir") .header("Content-Type", "application/json") .body("{\n\t\"org\": \"hsa\",\n\t\"idOpt\": \"mir_id\",\n\t\"selSource\": \"Kidney\",\n\"targetOpt\": \"gene\",\n\t\"myList\": \"hsa-mir-101-3p;hsa-mir-133b;hsa-mir-147a;hsa-mir-3140-3p;hsa-mir-361-5p;hsa-mir-510-5p\",\n\t\"algorithm\": \"hyp\",\n\t\"dbType\": \"mirfamily\"\n}\n") .asString(); Python Requests import requests url = "http://api.mirnet.ca/function/mir" payload = "{\n\t\"org\": \"hsa\",\n\t\"idOpt\": \"mir_id\",\n\t\"selSource\": \"Kidney\",\n\"targetOpt\": \"gene\",\n\t\"myList\": \"hsa-mir-101-3p;hsa-mir-133b;hsa-mir-147a;hsa-mir-3140-3p;hsa-mir-361-5p;hsa-mir-510-5p\",\n\t\"algorithm\": \"hyp\",\n\t\"dbType\": \"mirfamily\"\n}\n" headers = { 'Content-Type': 'application/json' } response = requests.request("POST", url, headers=headers, data = payload) print(response.text.encode('utf8'))
The following API can be used to get functional enrichment results for gene-miRNA interactions:
POST function/gene
{
"org": "hsa",
"idOpt": "symbol",
"selSource": "Bone marrow",
"myList": "ACAT1;DDX3X;MEGF9;FMR1;HAPLN1;IL12A;OLR1;RNF6;SOD3;ELOVL4;MRAP2",
"algorithm": "hyp",
"dbType": "mirfamily"
}
The different options for input parameters are given below: <org> = hsa | mmu | rno | bta | ssc | gga | dre | cel | dme | sma hsa - H. sapiens (human) mmu - M. musculus (mouse) rno - R. norvegicus (rat) bta - B. taurus (cattle) ssc - S. scrofa (pig) gga - G. gallus (chicken) dre - D. rerio (zebrafish) cel - C. elegans (roundworm) dme - D. melanogaster (fruitfly) sma - S. mansoni (blood fluke) <idOpt> = symbol | entrez | embl symbol - Official gene symbo entrez - Entrez gene ID embl - Ensembl gene ID <selSource> = Exosomes | Bone marrow | Kidney | Pancreas | Cervix | Mammary gland | Brain | Liver | Placenta | Embryo | Bone | Intestine | Lung | Breast cancerous tissues | Umbilical vein | Peripheral blood | Skin | Prostate | Gastric | Testis | Muscle | Stomach | Head/neck | Bronchus | Nervous | Others <algorithm> = hyp hyp -- Hypergeometric test <dbType> = kegg | reactome | bp | mf | cc kegg - KEGG reactome - Reactome bp - GO:BP mf - GO:mf cc - GO:cc
A list of examples for calling /function/gene using several programming languages is shown below: R request using httr require("httr") #install.packages("httr") require("jsonlite") #install.packages("jsonlite") base <- "http://api.mirnet.ca" endpoint <- "/function/gene" call <- paste(base, endpoint, sep="") query_input <- "ACAT1;DDX3X;MEGF9;FMR1;HAPLN1;IL12A;OLR1;RNF6;SOD3;ELOVL4;MRAP2" query_results <- POST(call, body = list(org = "hsa", idOpt = "symbol", selSource = "Bone marrow", algorithm = "hyp", dbType = "mirfamily", myList = query_input), encode = "json") query_results_text <- content(query_results, "text") query_results_json <- fromJSON(query_results_text, flatten = TRUE) sink("query_results.json") cat(query_results_json) sink() JavaScript Jquery AJAX var settings = { "url": "api.mirnet.ca/function/gene", "method": "POST", "timeout": 0, "headers": { "Content-Type": "application/json" }, "data": JSON.stringify({"org":"hsa","idOpt":"symbol","selSource":"Bone marrow","myList":"ACAT1;DDX3X;MEGF9;FMR1;HAPLN1;IL12A;OLR1;RNF6;SOD3;ELOVL4;MRAP2","algorithm":"hyp","dbType":"bp"}), }; $.ajax(settings).done(function (response) { console.log(response); }); cURL (command line) curl --location --request POST 'api.mirnet.ca/function/gene' \ --header 'Content-Type: application/json' \ --data-raw '{ "org": "hsa", "idOpt": "symbol", "selSource": "Bone marrow", "myList": "ACAT1;DDX3X;MEGF9;FMR1;HAPLN1;IL12A;OLR1;RNF6;SOD3;ELOVL4;MRAP2", "algorithm": "hyp", "dbType": "bp" }' Java Unirest HttpResponse<String> response = Unirest.post("api.mirnet.ca/function/gene") .header("Content-Type", "application/json") .body("{\n\t\"org\": \"hsa\",\n\t\"idOpt\": \"symbol\",\n\t\"selSource\": \"Bone marrow\",\n\t\"myList\": \"ACAT1;DDX3X;MEGF9;FMR1;HAPLN1;IL12A;OLR1;RNF6;SOD3;ELOVL4;MRAP2\",\n\t\"algorithm\": \"hyp\",\n\t\"dbType\": \"bp\"\n}\n") .asString(); Python Requests import requests url = "api.mirnet.ca/function/gene" payload = "{\n\t\"org\": \"hsa\",\n\t\"idOpt\": \"symbol\",\n\t\"selSource\": \"Bone marrow\",\n\t\"myList\": \"ACAT1;DDX3X;MEGF9;FMR1;HAPLN1;IL12A;OLR1;RNF6;SOD3;ELOVL4;MRAP2\",\n\t\"algorithm\": \"hyp\",\n\t\"dbType\": \"bp\"\n}\n" headers = { 'Content-Type': 'application/json' } response = requests.request("POST", url, headers=headers, data = payload) print(response.text.encode('utf8'))
miRNAs & Gene mappings APIs
Network Generation APIsFunctional enrichment APIs |
Xia Lab @ McGill (last updated 2023-04-21) |
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