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All Your NGS Data in One Place


  • Open Source Database for FASTQ and NGS Datasets

  • Manage Projects and Experimental Metadata

  • Integrate Bioinformatics Workflows

Try it out in less than a minute

                
                    pip install readstore-basic

More in the Official Documentation

Featured On




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Benefits

Icon for A Timer

Be Fast

Instantly Access FASTQ Datasets via Python, R, Command Line Interface or REST API

A schema for an inventory

Stay Organized

Raw FASTQ, Processed and Metadata in One Database

Schema of a collaborative team

Collaborate

Team Workspace to Manage and Share Projects in an intuitive Web App

3 Use Cases to Improve Your Data Analysis

Manage Your Projects and Data Assets in One App

Collect Sample Metadata in a Collaborative Workspace

Automate your Bioinformatics Workflows


Quickstart

[ 1 ]

Download and Install the Python Package

                
                    pip install readstore-basic

[ 2 ]

Start the ReadStore Server

                
                    readstore-server

[ 3 ]

Connect to the Web App

Enter 127.0.0.1:8501 in your Browser Adress Bar

Flexible for Your Infrastructure

Local,  On-Premise, or Private Cloud

ReadStore can be deployed on any infrastructure, ensuring your data remains private and secure. Unlike SaaS platforms that require external data storage, ReadStore offers a self-hosted alternative that keeps your data under your control.

If you are interested in using ReadStore Advanced for server or cloud deployment, please contact info@evo-byte.com. EVOBYTE also offers full customization and integration of ReadStore into your lab workflows or bioinformatics pipelines.




  • ReadStore Omics Repository

  • Project, Dataset & Metadata Management

  • Collaborative Workspace for Teams

  • For Local Servers and PCs

  • Python, R & Command Line Interface

  • ReadStore Omics Repository

  • Project, Dataset & Metadata Management

  • Collaborative Workspace for Teams

  • Python, R & Command Line Interface

  • Centralized On-Premises Solution for Organization-Wide Use

  • Secure Group and Access Rules

  • ReadStore Omics Repository

  • Project, Dataset & Metadata Management

  • Collaborative Workspace for Teams

  • Python, R & Command Line Interface

  • Cloud Deployment and Data Storage (AWS)

  • Secure Group and Access Rules

  • ReadStore Omics Repository

  • Project, Dataset & Metadata Management

  • Collaborative Workspace for Teams

  • For Local Servers and PCs

  • Python, R & Command Line Interface

  • ReadStore Omics Repository

  • Project, Dataset & Metadata Management

  • Collaborative Workspace for Teams

  • Python, R & Command Line Interface

  • Centralized On-Premises Solution for Organization-Wide Use

  • Secure Group and Access Rules

  • ReadStore Omics Repository

  • Project, Dataset & Metadata Management

  • Collaborative Workspace for Teams

  • Python, R & Command Line Interface

  • Cloud Deployment and Data Storage (AWS)

  • Secure Group and Access Rules

Comprehensive Tutorials and Guides

Learn how to organize your datasets in projects, add metadata and use ReadStore to automate your analysis workflows.

The full documentation is available here.

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                  Install &amp; Setup ReadStore 
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            <summary data-accordion-index="2" tabindex="-1" aria-expanded="false" aria-controls="e-n-accordion-item-5741" >
                 Upload FASTQ files 
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            <summary data-accordion-index="3" tabindex="-1" aria-expanded="false" aria-controls="e-n-accordion-item-5742" >
                 Projects and Datasets 
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                    </summary>
                </details>
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            <summary data-accordion-index="4" tabindex="-1" aria-expanded="false" aria-controls="e-n-accordion-item-5743" >
                 FASTQ Batch Import 
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                 Manage Processed Omics Data 
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                <h2><h3 data-elementor-setting-key="title" data-pen-placeholder="Type Here..." style="font-size: 31px;font-style: normal;font-weight: 700;font-family: Nunito, sans-serif">Learn More About ReadStore</h3>Send a message!</h2>