Although it is an important technology for studying genomes, DNA sequencing was initially accomplished in 1977 by Frederick Sanger. Since its conception, the technology has developed rapidly. Alvaro G ...
SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...
Genomic heterogeneity has largely been overlooked in single-cell replication timing (scRT) studies. Here, we develop MnM, an efficient machine learning-based tool that allows disentangling scRT ...
In just a few decades, DNA sequencing technologies evolved from slow, manual processes to rapid, automated ones, making ...
Embryonic stem cells (ESCs) can differentiate into all the cell types of the organism, a process that relies on the complex interplay between transcription factors, epigenetic regulators, and ...
In a way, sequencing DNA is very simple: There's a molecule, you look at it, and you write down what you find. You'd think it would be easy—and, for any one letter in the sequence, it is. The problem ...
A research team led by the A*STAR Genome Institute of Singapore (A*STAR GIS) have developed a method to accurately and efficiently read DNA containing non-standard bases—a task once thought too ...
The technique could be used to offer people with muscular dystrophy, or a related neuromuscular condition, a more accurate prognosis, which would enable them to make more informed choices on life ...
Current clinical challenges in Hodgkin lymphoma (HL) include difficult-to-treat relapsed/refractory disease and considerable long-term toxicities of treatment. Since clinical risk factors lack ...
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