1. 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'))

  2. 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'))

  3. 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'))

  4. 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'))

  5. 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'))

  6. 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'))
miRNAs & Gene mappings APIs
  1. Mapping miRNAs to target genes
  2. Mapping genes to miRNAs

    3. Network Generation APIs

  3. Generating interaction network for input miRNAs
  4. Generating interaction network for input genes

    5. Functional enrichment APIs

  5. Enriching a list of miRNAs
  6. Enriching a list of genes
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