APIs
Mapping between miRNAs & genes
- Mapping miRNAs to target genes
- Mapping genes to miRNAs
Network Generation APIs
- Generating interaction network for input miRNAs
- Generating interaction network for input genes
Functional enrichment APIs
- Enriching a list of miRNAs
- Enriching a list of genes
-
Mapping miRNAs to target genes
The following API can be used to get experimentally validated table results of the miRNA-target interactions (forward mapping):
POST table/mir
http://api.mirnet.ca/table/mir
Headers
Content-Type application/json
Body raw (application/json)
{
"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'))
-
Mapping genes to miRNAs
The following API can be used to get experimentally validated table results of the miRNA-target interactions (reverse mapping):
POST table/gene
http://api.mirnet.ca/table/gene
Headers
Content-Type application/json
Body raw (application/json)
{
"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'))
-
Generating interaction network for input miRNAs
The following API can be used to get graph data of miRNA-target interactions (json):
POST graph/mir
http://api.mirnet.ca/graph/mir
Headers
Content-Type application/json
Body raw (application/json)
{
"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'))
-
Generating interaction network for input genes
The following API can be used to get graph data of miRNA-target interactions given a gene list input (json):
POST graph/gene
http://api.mirnet.ca/graph/gene
Headers
Content-Type application/json
Body raw (application/json)
{
"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'))
-
Enriching a list of miRNAs
The following API can be used to get functional enrichment results for miRNA-target interactions:
POST function/mir
http://api.mirnet.ca/function/mir
Headers
Content-Type application/json
Body raw (application/json)
{
"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'))
-
Enriching a list of genes
The following API can be used to get functional enrichment results for gene-miRNA interactions:
POST function/gene
http://api.mirnet.ca/function/gene
Headers
Content-Type application/json
Body raw (application/json)
{
"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'))
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