Explore open-source tools for big data genomics, including ADAM and Cannoli, for scalable genomic data analysis using Spark, Python, and R.
Analyze large-scale genomics data with open-source tools
Big Data Genomics is a hub for open-source software focused on processing and analyzing large-scale genomic data. Here, you can learn about tools like ADAM and Cannoli, which are designed to help researchers and bioinformaticians work efficiently with big data using popular platforms such as Spark, Python, and R.
Whether you're interested in the latest software releases or want to dive into tutorials on variant calling and data manipulation, this site offers clear resources and updates. It's a great place to stay informed about advancements in genomic data analysis and connect with a community interested in bioinformatics and scalable data solutions.
Discover websites similar to Bigdatagenomics.github.io. Section 1 prioritizes sites with matching domain extensions and/or languages. Section 2 offers worldwide alternatives.
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A cloud-based platform where researchers collaborate, share, and analyze data for transdisciplinary projects in a supportive community environment.
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Pangeo is a global community supporting open, scalable geoscience with collaborative tools, software, and resources for reproducible scientific research.
Personal research site sharing projects and publications in computer vision, machine learning, and graphics, with links to papers, code, and collaborators.
Generate knowledge graphs easily with RML.io tools for Windows, Mac, and Linux. Use simple rules to turn your data into structured, connected insights.
PipelineDP lets you build data pipelines that aggregate user data efficiently while keeping privacy protected with modern, secure techniques.
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