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The Blast2GO Command Line Tools

A Functional Annotation Pipeline

The Blast2GO Command Line is a professional solution for flexible, high-performance and automatic functional annotation tasks. This Annotation Pipeline allows you to integrate and automate your functional annotation task in a flexible way. Generate high-quality results in a reproducible way directly integrated into your data analysis workflows.

High Performance

The command-line version of Blast2GO allows you to analyse large dataset on your performant computing servers will nearly no extra effort.

Flexible

Easily integrate your functional annotation tasks within your custom analysis pipeline and run different analysis scenarios in parallel.

Automatic Data Generation

Generate all the statistics charts Blast2GO offers in an automatic fashion. This includes a summary report in PDF as well as images and text file formats.

Reproducibility

Control the whole analysis with a simple configuration file. This allows you to set up different analysis strategies and reproduce the multiple scenarios for one or various datasets.

Secure

Run BLAST, InterProScan and the Blast2GO annotation offline on your own servers according to your security requirements. Take 100% control of data sources and versions you use throughout the analysis.

Registration

Please fill the form to obtain a download link and instructions on how-to try a full-functional Blast2GO Command Line version. Once send you will directly receive an email with instructions.

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By submitting this form you agree to the Terms of Service and accept to receive communications (e.g. emails) regarding our services (e.g. product activations, newsletters, reminders, proposals, etc.).

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Note: Blast2GO Basic is available only for non-profit research organisations.

System Requirements

  • Blast2GO Command line tools are designed to work on all three major platforms (Linux, Mac OS, Win).
  • All systems have to have Java 11+ installed.
  • We recommend at least 1 GB of ram.
  • For a local Blast2GO database a MongoDB server (version 3.4.6+) is necessary.

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