The approach, published earlier this week in Nature Biomedical Engineering, uses long-adapter single-strand oligonucleotide (LASSO) probes.
The two studies describe methods for identifying off-target mutations associated with cell-type-specific SNPs and detecting potential off-target cleavage sites.
Incorporating splicing and other clues from muscle transcripts, researchers reached diagnoses in cases that were inconclusive after sequencing alone.
Such analyses can help researchers pinpoint how various cancers evolve and determine the best kinds of tests to use to find certain disease information.
Genetic mutations and tumor microenvironment largely account for differences between IDH-A and IDH-O gliomas, the researchers also said.
One team examined single-nucleotide variation, indels, and copy-number variations in ASD, while the other focused on large structural variations.
Two studies described de novo gene mutations involved in autism spectrum disorder and other neurodevelopmental conditions, while weeding out unrelated changes.
Researchers combined a microfluidic technology called the CTC-iChip with digital PCR to potentially improve cancer detection in hepatocellular carcinoma patients.
Researchers incorporated deep phenotyping and gene expression profiles to tease apart gene networks that are altered in women with polycystic ovarian syndrome.
The partners will use Namocell's Single Cell Dispenser platform for cell sorting and to capture CTCs.
Rady Children's Institute for Genomic Medicine and Deloitte are looking into the use of drones to transport samples for testing.
Direct-to-consumer genetic testing firm 23andMe is laying off about 100 people.
Researchers from Northwestern University examined dust for antibiotic-resistance genes, New Scientist reports.
In Science this week: researchers present a computational method for predicting cellular differentiation state from single-cell RNA sequencing data, and more.