Research Notebook

Research Notebook

750+ TBresearch scale750+ TB integrated
100+global researchers100+ using the platform
3manuscripts in review3 lead-author, under review
  1. Biological samplesRaw specimens, assays, observations
  2. IngestionCollect & record data at scale
  3. ValidationQuality checks, controls, provenance
  4. ModelsAnalyze, learn, test
  5. Reproducible artifactsNotebooks, code, data packages, reports
  6. Production patternsPipelines, APIs, platforms, monitoring
Scientific data lineage map
  1. TCGA / PCAWG raw
  2. Harmonize
  3. QC (K-Means / DBSCAN)
  4. Feature select (SVM-RFE)
  5. Model (Random Forest)
  6. Validated biomarkers
  7. Manuscript figures
  • PeopleResearchers, techs
  • ToolsNextflow · R · Python
  • EnvironmentsConda · Docker · HPC
  • StorageHPC scratch · S3 · checksums
  • TimeTimestamps, versions
Dataset schema (abridged)
FieldTypeDescriptionNotes
study_idstringUnique study identifierPK
sample_idstringSample identifierindexed
modalityenume.g., DNA, ATAC, Proteomicscontrolled
batch_idstringAcquisition batchtraceable
instrumentstringInstrument / platformversioned
raw_pathstringRaw data locationimmutable
qc_metricsjsonQuality control metricsvalidated
created_attimestampIngestion timestampUTC
Reproducibility checklist
  • Version control for code & configs
  • Immutable raw data storage
  • Documented protocols & parameters
  • Deterministic environments
  • Automated validation & QC
  • Re-runnable pipelines (idempotent)
  • Provenance captured end-to-end
  • Shareable artifacts & reports
  • Peer review & independent verification
Research → Engineering translation ledger
ResearchEngineering
ReproducibilityIdempotency
ProvenanceLineage
Experimental controlsValidation
Peer reviewObservability
Read the research archive →
Sabbir Hossain · Research NotebookPage 06