Innovative Computational Tools for Single-Cell Lineage Tracing : CellBarcode and scMitoMut

Lineage-tracing is crucial for understanding development, tumors, and stem cell biology. This seminar will introduce two computational tools designed to enhance single-cell lineage tracing: CellBarcode and scMitoMut. These tools address the challenges of identifying DNA sequences and mtDNA variations in single-cell lineage tracing studies.

CellBarcode is an R package that helps researchers extract and filter unique DNA sequences, known as DNA barcodes, from Next Generation Sequencing data. It is essential for those working with complex DNA barcode datasets, offering robust methods to distinguish true barcodes from errors. The seminar will cover CellBarcode's technical framework, showcase its application through case studies, and discuss its impact on improving accuracy and reproducibility in single-cell lineage tracing research.

scMitoMut is R package designed to identify informative mitochondrial DNA variations at the single-cell level. It uses a Beta-binomial distribution to model sequencing noise, enhancing mutation detection sensitivity and specificity. The seminar will explore scMitoMut's methodology and demonstrate it in real-world datasets.

This seminar is intended for researchers, bioinformaticians, and students in the fields of DNA barcode lineage tracing, single-cell mutation analysis, and related areas. It will offer both theoretical insights and practical applications.

Both CellBarcode and scMitoMut are available on Bioconductor:

https://www.bioconductor.org/packages/release/bioc/html/CellBarcode.html

https://bioconductor.org/packages/release/bioc/html/scMitoMut.html