CellDestiny

CellDestiny analyzes and visualizes single-cell lineage tracing data to characterize lineage relationships and cellular differentiation.

Key Features:

• Versatile data support: Handles diverse single-cell lineage tracing datasets, including cases with high variability, sparsity, and technical noise.
• Visualization: Provides robust visualization options for interpreting complex lineage tracing and clonal relationships.
• Data standardization: Applies standardization procedures to promote consistency and reproducibility across datasets.
• Noise reduction: Implements strategies to mitigate technical noise in lineage tracing data.
• Barcoding and transcriptomic integration: Supports simultaneous analysis and integration of barcoding and transcriptomic data.
• Support for lentiviral and integration-site data: Applies to lentiviral barcoding datasets and integration-site datasets relevant to gene therapy studies.

Scientific Applications:

• Developmental Biology: Analysis of lentiviral barcoding datasets of murine hematopoietic progenitors to investigate developmental pathways and lineage commitments.
• Oncology and Gene Therapy: Analysis of integration-site data from Wiskott-Aldrich Syndrome patients undergoing gene therapy to assess clonal dynamics and treatment outcomes.
• Transcriptomic Analysis: Combined barcoding and transcriptomic analysis to provide a comprehensive view of cellular differentiation in vitro.

Methodology:

Data standardization; noise reduction; integration of barcoding and transcriptomic data.