DNAnexus Documentation
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  • Overview
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      • Bash
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        • Distributed by Chr (sh)
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        • SAMtools count
        • TensorBoard Example Web App
        • Git Dependency
        • Mkfifo and dx cat
        • Parallel by Region (sh)
        • Parallel xargs by Chr
        • Precompiled Binary
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      • Python
        • Dash Example Web App
        • Distributed by Region (py)
        • Parallel by Chr (py)
        • Parallel by Region (py)
        • Pysam
      • Web App(let) Tutorials
        • Dash Example Web App
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      • Concurrent Computing Tutorials
        • Distributed
          • Distributed by Region (sh)
          • Distributed by Chr (sh)
          • Distributed by Region (py)
        • Parallel
          • Parallel by Chr (py)
          • Parallel by Region (py)
          • Parallel by Region (sh)
          • Parallel xargs by Chr
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      • Locus Details Page
    • Using DXJupyterLab
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  • Developer
    • Developing Portable Pipelines
      • dxCompiler
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      • Job Identity Tokens for Access to Clouds and Third-Party Services
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      • Types of Errors
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      • Importing Workflows
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      • Molecular Expression Assay Loader
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      • Guide for Ingesting a Simple Four Table Dataset
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      • LocusZoom DNAnexus App
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    • Using Hail to Analyze Genomic Data
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On this page
  • Bash App(let) Tutorials
  • Python App(let) Tutorials
  • Web App(let) Tutorials
  • Concurrent Computing Tutorials

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  1. Getting Started

Developer Tutorials

Access developer tutorials and examples.

Last updated 2 years ago

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Developers new to the may find it easier to learn by doing. This page contains a collection of simple tutorials and examples intended to showcase common tasks and methodologies when creating an app(let) on the DNAnexus platform. After reading through the tutorials and examples you should be able to develop app(let)s that:

  • Run efficiently: make use of cloud computing methodologies.

  • Are easy to debug: let developers understand and resolve issues.

  • Use the scale of the cloud: take advantage of the DNAnexus platform’s flexibility

  • Are easy to use: reduce support and enable collaboration.

If it’s your first time developing an app(let) be sure to read through the series. This series will introduce terms and concepts that tutorials and examples will build upon.

These tutorials are not meant to show realistic everyday examples, but rather provide a strong starting point for app(let) developers. Tutorials will showcase simple and varied implementations of the SAMtools view command on the DNAnexus platform.

Bash App(let) Tutorials

Bash app(let)s use dx-toolkit’s, our platform SDK, command line interface along with common bashisms to create bioinformatic pipelines in the cloud.

Bash

Python App(let) Tutorials

Python

Web App(let) Tutorials

To create a web applet, you will need access to Titan or Apollo features Web applets can be made as either python or bash applets, the only difference is that they will launch some kind of web server and expose port 443 (for HTTPS) to allow a user to interact with that web application through a web browser.

Web_app

Concurrent Computing Tutorials

A bit of terminology before we start discussing parallel and distributed computing paradigms on the DNAnexus Platform.

  • Parallel: Using multiple threads or logical cores to concurrently process a workload.

  • Distributed: Using multiple machines (in our case instances in the cloud) that communicate to concurrently process a workload.

Keep these formal definitions in mind as you read through the tutorials and learn how to compute concurrently on the DNAnexus platform.

Parallel

Distributed

Python app(let)s make of use dx-toolkit’s along with common python modules such as to create bioinformatic pipelines in the cloud.

There are many definitions and approaches to tackling the concept of parallelization and distributing workloads in the cloud (Here’s a on the subject). To help make our documentation easier to understand, when discussing concurrent computing paradigms we’ll refer to:

DNAnexus platform
Getting started
Bash Helpers
Distributed by Chr (sh)
Distributed by Region (sh)
Git Dependency
Mkfifo and dx cat
Parallel by Region (sh)
Parallel xargs by Chr
Precompiled Binary
R Shiny Example Web App
SAMtools count
TensorBoard Example Web App
python implementation
subprocess
Dash Example Web App
Distributed by Region (py)
Parallel by Chr (py)
Parallel by Region (py)
Pysam
Dash Example Web App
R Shiny Example Web App
TensorBoard Example Web App
particularly helpful Stack Exchange post
Parallel by Chr (py)
Parallel by Region (py)
Parallel by Region (sh)
Parallel xargs by Chr
Distributed by Chr (sh)
Distributed by Region (py)
Distributed by Region (sh)