Showing 2 open source projects for "validate"

View related business solutions
  • $300 Free Credits for Your Google Cloud Projects Icon
    $300 Free Credits for Your Google Cloud Projects

    Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.

    Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
    Start Free Trial
  • Ship Agents Faster Icon
    Ship Agents Faster

    Transform your applications and workflows into powerful agentic systems at global scale.

    Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
    Get Started Free
  • 1

    BisSNP

    Bisulfite-seq/NOMe-seq SNPs & cytosine methylation caller

    ...It uses bayesian inference with either manually specified or automatically estimated methylation probabilities of different cytosine context(not only CpG, CHH, CHG in Bisulfite-seq, but also GCH et.al. in other bisulfite treated sequencing) to determine genotypes and methylation levels simultaneously. It works for both of single-end and paired-end reads.Specificity and sensitivity has been validate by Illumina IM SNP array. In default threshold 30X data (Phred scale score > 20), it could detect 92.21% heterozygous SNPs with 0.14% false positive rate Cytosine calling is not only based on reference context, so it could detect non-reference cytosine context. Google group for help: http://goo.gl/zL7Nj
    Downloads: 3 This Week
    Last Update:
    See Project
  • 2
    jlibsedml
    A Java library to facilitate SED-ML support for systems biology applications to read, validate, edit, and write SED-ML documents in compliance with MIASE guidelines. Also contains modules to execute simulation tasks and produce outputs. This project also contains the SED-ED editor application for SED-ML.
    Downloads: 32 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
Auth0 Logo