BioEra

BioEra

BioEra is a biological and biomedical data management software designed for researchers to organize, annotate, analyze, visualize, and share omics data sets. It enables collaborative analysis workflows.
BioEra image
data-management omics-data visualization collaboration

BioEra: Biological Data Management Software

BioEra is a biological and biomedical data management software designed for researchers to organize, annotate, analyze, visualize, and share omics data sets. It enables collaborative analysis workflows.

What is BioEra?

BioEra is an integrated data management, analysis, and collaboration software platform designed specifically for biological and biomedical research teams working with large-scale omics data sets including genomics, transcriptomics, proteomics, metabolomics, etc.

Key capabilities and benefits of BioEra include:

  • Flexible data management system to organize, store, annotate, and search heterogeneous omics data sets in a central repository.
  • Automated analysis workflows and pipelines for common bioinformatics tasks such as genome assembly, variant calling, RNA-seq quantification, etc.
  • Interactive data visualization tools for genomic views, heat maps, pathways, and more.
  • Collaboration features to securely share data, analyses, and findings across teams and organizations.
  • FAIR data principles support to enhance data discoverability, reuse, and reporting.
  • Scalable cloud infrastructure designed for large datasets with on-demand compute resources.
  • Access control and user authentication to ensure data security and privacy.

By providing robust data management alongside integrated analysis features, BioEra enables research groups to organize complex biological data in a centralized secure repository, collaborate effectively, leverage automation to accelerate analysis, obtain biological insights faster, and ensure transparency and reproducibility.

BioEra Features

Features

  1. Store, organize and search biological data
  2. Annotate data and build ontologies
  3. Analyze data with built-in tools
  4. Visualize data interactively
  5. Share data securely with collaborators

Pricing

  • Freemium
  • Subscription-Based

Pros

User-friendly interface

Scalable for large datasets

Integrates well with other tools

Enables collaboration

Cons

Steep learning curve

Limited customization options

Only supports omics data

Requires purchase for some features


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