2 projects for "effect" with 2 filters applied:

  • Stop Storing Third-Party Tokens in Your Database Icon
    Stop Storing Third-Party Tokens in Your Database

    Auth0 Token Vault handles secure token storage, exchange, and refresh for external providers so you don't have to build it yourself.

    Rolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
    Try Auth0 for Free
  • Try Google Cloud Risk-Free With $300 in Credit Icon
    Try Google Cloud Risk-Free With $300 in Credit

    No hidden charges. No surprise bills. Cancel anytime.

    Use your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
    Start Free
  • 1

    CoVEC

    Consensus Variant Effect Classification

    The package provides SVM models to be used with SVMlight (http://svmlight.joachims.org/) for drawing a consensus out of individual 3rd-party predictions about the effect of mutations. The 3rd party tools are SIFT, Polyphen2, SNPs&GO and Mutation Assessor. The package also provides a series of Perl modules and scripts to assist in the preparation of data. The modules can be used to build custom tools and pipelines, whereas the scripts provide basic executable implementations based on the modules. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    Pontos

    Pontos

    Pontos calculates distance matrices from DNA sequence alignments.

    ...It can handle gaps and ambiguities in different ways. Gaps can be: - all used; - all ignored; - ignored only at the ends of the sequences, in a pairwise manner; - ignored only at the ends, but now globally (in effect trimming the whole alignment to the farthest sequences from the ends). Ambiguities (things like R, Y, N, W, etc. in a DNA sequence) can be treated like: - consider ambiguities as always different; - consider ambiguity as partially different (e.g. R would be 0.5 different from A or G); - ignore ambiguities in each pairwise comparison; - remove all columns, globally, that show any ambiguity. ...
    Downloads: 3 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB