Showing 7 open source projects for "cloud"

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    AI-generated apps that pass security review

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  • 1
    BioNeMo

    BioNeMo

    BioNeMo Framework: For building and adapting AI models

    BioNeMo is an AI-powered framework developed by NVIDIA for protein and molecular generation using deep learning models. It provides researchers and developers with tools to design, analyze, and optimize biological molecules, aiding in drug discovery and synthetic biology applications.
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  • 2
    Cloudomics-for-AWS

    Cloudomics-for-AWS

    AWS resources for Bioinformatics Workflows & Apps

    Library of scripts used for authenticating researchers who submit bioinformatics datasets to an S3 bucket for analytics using AWS resources (Development start : 2015 as part of Cloudomics, formally www.mycloudomics.com)
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  • 3
    ChIP-RNA-seqPRO

    ChIP-RNA-seqPRO

    ChIP-RNA-sequencing-processing (ChIP-RNA-seqPRO)

    ...Runnable python scripts packaged together with customized annotation libraries, demo data input and README guide. 9/26 : v1.1 Updated MAIN_IV to debug error thrown by python pandas no longer supporting 'subset'. This code will no longer be actively maintained/updated here. A cloud-based resource for comparative analysis of epigenetic, sequence variation, and expression datasets is now available. Please visit the Cloudomics, project for cloud-based resources: https://sourceforge.net/projects/cloudomics-for-aws/
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  • 4
    ...The file formats currently supported are BAM, SAM, FASTQ, FASTA, QSEQ, BCF, and VCF. For a longer high-level description of Hadoop-BAM, refer to the article "Hadoop-BAM: directly manipulating next generation sequencing data in the cloud" in Bioinformatics Volume 28 Issue 6 pp. 876-877, available online at: http://dx.doi.org/10.1093/bioinformatics/bts054 Note that the library part of Hadoop-BAM is mainly for developers with experience in using Hadoop. The command line tools of Hadoop-BAM should be understandable to all users, but they are limited in scope. ...
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  • Forever Free Full-Stack Observability | Grafana Cloud Icon
    Forever Free Full-Stack Observability | Grafana Cloud

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  • 5

    Virus QSP Modeling

    C++ and Python code for simulating RNA virus replication

    Stochastic simulation model of poliovirus Sabin-to-Mahoney genetic state transition (C++ code). Models genotypes, virus populations, and quasispecies cloud. Simulates replication error and copy-choice recombination. Various parameters guiding the model are user-specified. Python code post-processes simulation output to produce report files.
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  • 6

    Jnomics

    Jnomics is a collection of cloud-scale DNA sequence analysis tools

    Jnomics is a collection of cloud-scale DNA sequence analysis tools
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  • 7
    Platform for parallel computation in the Amazon cloud, including machine learning ensembles written in R for computational biology and other areas of scientific research. Home to MR-Tandem, a hadoop-enabled fork of X!Tandem peptide search engine.
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