Integrate the Rat Genome Database API with the Go API

Setup the Rat Genome Database API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Rat Genome Database and Go remarkably fast. Free for developers.

Popular Rat Genome Database and Go Actions#

Run Go Code with the Go API

Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.

Try it

Overview of Rat Genome Database#

The Rat Genome Database (RGD) API provides access to a wealth of genetic and genomic data related to rats, a key model organism in medical research. Via this API, researchers can query for gene information, phenotypic data, and genomic sequences, creating a treasure trove for geneticists, bioinformaticians, and medical researchers seeking to understand disease pathways and potential treatments. On Pipedream, this can be leveraged to automate data retrieval, sync genetic information with other databases, or trigger workflows based on specific genomic updates or criteria.

Connect Rat Genome Database#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    rat_genome_database: {
      type: "app",
      app: "rat_genome_database",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://rest.rgd.mcw.edu/rgdws/lookup/geneTypes`,
      headers: {
        "Accept": `*/*`,
      },
    })
  },
})

Overview of Go#

You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.

Connect Go#

package main

import (
	"fmt"

	pd "github.com/PipedreamHQ/pipedream-go"
)

func main() {
	// Access previous step data using pd.Steps
	fmt.Println(pd.Steps)

	// Export data using pd.Export
	data := make(map[string]interface{})
	data["name"] = "Luke"
	pd.Export("data", data)
}