Over the past few years, technological advances have allowed for measurement of omics
data at the cell level, creating a new type of data generally referred to as single-cell (sc) …

Motivation Genetic intra-tumor heterogeneity (ITH) characterizes the differences in genomic
variations between tumor clones, and accurately unmasking ITH is important for …

Next-generation sequencing (NGS) applications have flourished in the last decade,
permitting the identification of cancer driver genes and profoundly expanding the …

The cancer cell fraction (CCF), or proportion of cancerous cells in a tumor containing a
single-nucleotide variant (SNV), is a fundamental statistic used to quantify tumor …

Single-cell DNA sequencing (scDNA-seq) enables high-resolution profiling of genetic
diversity among single cells and is especially useful for deciphering the intra-tumor …

Single-cell sequencing (SCS) now promises the landscape of genetic diversity at single cell
level, and is particularly useful to reconstruct the evolutionary history of tumor. There are …

Motivation Eukaryotic cells contain organelles called mitochondria that have their own
genome. Most cells contain thousands of mitochondria which replicate, even in nondividing …

Whole-genome doubling (WGD) is a critical driver of tumor development and is linked to
drug resistance and metastasis in solid malignancies. Here, we demonstrate that WGD is an …

Alzheimer disease (AD) is an irreversible neurodegenerative disease, and astrocytes play a
key role in its onset and progression. The aim of this study is to analyze the characteristics of …

Emerging ultra-low coverage single-cell DNA sequencing (scDNA-seq) technologies have
enabled high resolution evolutionary studies of copy number aberrations (CNAs) within …