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It will generate a file with all splicing events detected in the samples analysed which includes the number of reads per event for each sample. Additionally, it provides an enrichment score per sample and per event, as well as its statistical significance. This greatly facilitates the identification of aberrant RNA splicing events. A description of the event in HGVS nomenclature is also provided."}}]},{"typeName":"subject","multiple":true,"typeClass":"controlledVocabulary","value":["Medicine, Health and Life Sciences"]},{"typeName":"depositor","multiple":false,"typeClass":"primitive","value":"Radek Szklarczyk"},{"typeName":"dateOfDeposit","multiple":false,"typeClass":"primitive","value":"2021-02-10"},{"typeName":"software","multiple":true,"typeClass":"compound","value":[{"softwareName":{"typeName":"softwareName","multiple":false,"typeClass":"primitive","value":"QURNAS"}}]}]},"dansDataVaultMetadata":{"displayName":"Data Vault Metadata","name":"dansDataVaultMetadata","fields":[{"typeName":"dansDataversePid","multiple":false,"typeClass":"primitive","value":"doi:10.34894/BIU9RK"},{"typeName":"dansDataversePidVersion","multiple":false,"typeClass":"primitive","value":"2.2"},{"typeName":"dansBagId","multiple":false,"typeClass":"primitive","value":"urn:uuid:1264679d-b41f-484c-841a-9ec4cafa3462"},{"typeName":"dansNbn","multiple":false,"typeClass":"primitive","value":"urn:nbn:nl:ui:13-5c6fe5cc-3d9d-484a-9eec-604f1549941a"}]}},"files":[{"description":"","label":"README.txt","restricted":false,"version":1,"datasetVersionId":9546,"dataFile":{"id":15204,"persistentId":"","filename":"README.txt","contentType":"text/plain","friendlyType":"Plain Text","filesize":2347,"description":"","storageIdentifier":"surf://store:16adebac998-ea44264f3f70","rootDataFileId":-1,"checksum":{"type":"SHA-1","value":"43d4c6fdc27e18b7afa96387d2c46116e29c1f8b"},"tabularData":false,"creationDate":"2019-05-22","publicationDate":"2019-05-22","lastUpdateTime":"2021-11-19T15:13:43Z","fileAccessRequest":false}},{"description":"","label":"rnaseq_Hg19.py","restricted":false,"version":1,"datasetVersionId":9546,"dataFile":{"id":15205,"persistentId":"","filename":"rnaseq_Hg19.py","contentType":"text/x-python-script","friendlyType":"Python Source Code","filesize":55509,"description":"","storageIdentifier":"surf://store:16adebaca6e-a22861f6f596","rootDataFileId":-1,"checksum":{"type":"SHA-1","value":"97999b33a8f78c15c32fd4648d19da9b9b4b1d1b"},"tabularData":false,"creationDate":"2019-05-22","publicationDate":"2019-05-22","lastUpdateTime":"2021-11-19T15:13:43Z","fileAccessRequest":false}},{"description":"","label":"ucsc-refseq.tab","restricted":false,"version":1,"datasetVersionId":9546,"dataFile":{"id":15206,"persistentId":"","filename":"ucsc-refseq.tab","contentType":"text/tab-separated-values","friendlyType":"Tab-Delimited","filesize":15332268,"description":"","storageIdentifier":"surf://store:16adebad0b2-815d1756bc5b","rootDataFileId":-1,"checksum":{"type":"SHA-1","value":"7d9b6174cd80a364aaa4ca923c6bf469a6bb4669"},"tabularData":false,"creationDate":"2019-05-22","publicationDate":"2019-05-22","lastUpdateTime":"2021-11-19T15:13:43Z","fileAccessRequest":false}}]}}}