Showing 3 open source projects for "output"

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  • 1
    CloverDX

    CloverDX

    Design, automate, operate and publish data pipelines at scale

    Please, visit www.cloverdx.com for latest product versions. Data integration platform; can be used to transform/map/manipulate data in batch and near-realtime modes. Suppors various input/output formats (CSV,FIXLEN,Excel,XML,JSON,Parquet, Avro,EDI/X12,HL7,COBOL,LOTUS, etc.). Connects to RDBMS/JMS/Kafka/SOAP/Rest/LDAP/S3/HTTP/FTP/ZIP/TAR. CloverDX offers 100+ specialized components which can be further extended by creation of "macros" - subgraphs - and libraries, shareable with 3rd parties. Simple data manipulation jobs can be created visually. ...
    Downloads: 2 This Week
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  • 2

    BMDExpress Data Viewer

    A Visualization Tool to Analyze BMDExpress Datasets

    ...BMDExpress applies BMD modeling to transcriptomic datasets to identify transcriptional BMDs. However, graphing and analytical capabilities within BMDExpress are limited, and the analysis of output files is challenging. We developed a web-based application, BMDExpress Data Viewer for visualizing and graphing BMDExpress output files. BMDExpress Data Viewer is a useful tool to visualize, explore and analyze BMDExpress output files. Visualizing the data in this manner enables rapid assessment of data quality, model fit, doses of peak activity, most sensitive pathway perturbations and other metrics that will be useful in applying toxicogenomics in risk assessment. ...
    Downloads: 0 This Week
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  • 3

    NGS data quality evaluation

    Python tool to evaluate the quality of high-throughput sequencing data

    ...The evaluation is performed in a genomic region defined by the user, and it provides some statistics computed from the reads that map to that region (ie. a single gene). The program provides a graphical output embedded in an html file. The analysis contains the sequencing quality along the reads, the mapping quality distribution, the coverage of the defined region, the overall quality at each nucleotide position, and the distribution of the coverage as a function of the GC content in the reference genome. The results provided by this program can help to distinguish between sequence variation and sequencing errors.
    Downloads: 0 This Week
    Last Update:
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