FinaleDB

FinaleDB catalogs uniformly processed, quality-controlled paired-end whole-genome sequencing (WGS) datasets of de-identified cell-free DNA (cfDNA) and provides fragmentation profiles and visualization to analyze nucleosomal protection, epigenetic modifications, and gene expression signals for biomarker and disease-mechanism research.


Key Features:

  • Comprehensive Dataset Collection: Hosts thousands of uniformly processed, quality-controlled paired-end WGS cfDNA datasets derived from de-identified samples across diverse pathological conditions.
  • Fragmentation Genome Browser: Visualizes and enables analysis of non-random cfDNA fragmentation patterns influenced by nucleosomal protection, epigenetic modifications, and contributing cell-type gene expression profiles.
  • Integration with Omics Data: Links cfDNA fragmentation profiles with thousands of other omics datasets across different cell types to support integrative analyses of gene-regulatory landscapes.

Scientific Applications:

  • Biomarker discovery and prognostic modeling: Uses cfDNA fragmentation features to support development of diagnostic and prognostic models in oncology and other diseases.
  • Tissue-of-origin and gene-regulatory inference: Enables inference of contributing cell types and epigenetic/gene-expression states by relating fragmentation patterns to nucleosomal and epigenetic signals.
  • Comparative and mechanistic studies: Facilitates comparative analyses of fragmentation landscapes across pathological conditions to investigate disease mechanisms.

Methodology:

Uniform processing and quality control of paired-end WGS cfDNA datasets, generation of fragmentation profiles, visualization via a fragmentation genome browser, and integration with other omics datasets.

Topics

Details

License:
MIT
Tool Type:
web application
Programming Languages:
JavaScript, Python, R
Added:
1/18/2021
Last Updated:
3/11/2021

Operations

Publications

Zheng H, Zhu MS, Liu Y. FinaleDB: a browser and database of cell-free DNA fragmentation patterns. Unknown Journal. 2020. doi:10.1101/2020.08.18.255885.

Links