Showing 2 open source projects for "throughput"

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    OmicSelector

    OmicSelector

    Feature selection and deep learning modeling for omic biomarker study

    OmicSelector is an environment, Docker-based web application, and R package for biomarker signature selection (feature selection) from high-throughput experiments and others. It was initially developed for miRNA-seq (small RNA, smRNA-seq; hence the name was miRNAselector), RNA-seq and qPCR, but can be applied for every problem where numeric features should be selected to counteract overfitting of the models. Using our tool, you can choose features, like miRNAs, with the most significant diagnostic potential (based on the results of miRNA-seq, for validation in qPCR experiments).
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    adLIMS

    adLIMS

    adLIMS: a Laboratory Information Management System with ADempiere

    Many biological laboratories dealing with genomic samples are facing the problem of sample tracking, both for pure laboratory management and efficiency, and for internal policies, such as Good Laboratory Practices (GLP). Our laboratory exploits PCR techniques and next-generation sequencing (NGS) methods, to perform high-throughput integration site monitoring in different clinical trials and scientific projects, based on the delivery of therapeutic genes by viral vectors integrating into the genome of target cells. We process around 1500 samples/year resulting in hundreds of millions of sequencing reads, requiring automation and posing new challenges in data storage, monitoring of sample process and computational tools for analyses. ...
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