Article

BDQC: a general-purpose analytics tool for domain-blind validation of Big Data

2018-02-02

Abstract excerpt

Translational biomedical research is generating exponentially more data: thousands of whole-genome sequences (WGS) are now available; brain data are doubling every two years. Analyses of Big Data, including imaging, genomic, phenotypic, and clinical data, present qualitatively new challenges as well as opportunities. Among the challenges is a proliferation in ways analyses can fail, due largely to the increasing l...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 01ce21fc-9d7b-594a-bb66-2aafaba3e92b
DOI: 10.1101/258822

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

BDQC: a general-purpose analytics tool for domain-blind validation of Big DataDOI 10.1101/258822Read

Reproducible Data Analysis Pipelines for Precision MedicineSemantic proximity Read

nf-core/detaxizer: A Benchmarking Study for Decontamination from Human SequencesSemantic proximity Read

Practice guidelines for development and validation of software, with particular focus on bioinformatics pipelines for processing NGS data in clinical diagnostic laboratoriesSemantic proximity Read

BIGwas: Single-command quality control and association testing for multi-cohort and biobank-scale GWAS/PheWAS data.Semantic proximity Read

Interactive Analytics for Very Large Scale Genomic DataSemantic proximity Read

Automated quality control of next generation sequencing data using machine learningSemantic proximity Read

dbGaPCheckup: pre-submission checks of dbGaP-formatted subject phenotype files.Semantic proximity Read

From Spreadsheets and Bespoke Models to Enterprise Data Warehouses: GPT-enabled Clinical Data Ingestion into i2b2Semantic proximity Read

diagFDR: Verifiable FDR Reporting in Proteomics via Scope, Calibration, and Stability DiagnosticsSemantic proximity Read

Artificial Intelligence-Driven Self-Healing Bioinformatics Pipelines: A Systematic Review of Automated Failure Detection and Remediation in Omics and Computational Biology WorkflowsSemantic proximity Read

Enabling rapid cloud-based analysis of thousands of human genomes via ButlerSemantic proximity Read

Integration of Bulk RNA-seq Pipeline Metrics for Assessing Low-Quality SamplesSemantic proximity Read