In Nature this week: a method called cis-X combines whole-genome and transcriptome sequencing data to identify regulatory noncoding variants, and more.
In Nucleic Acids Research this week: algorithm to determine molecular sequence types and other microbial features, computational method to uncover R-loop structures, and more.
The SICILIAN algorithm, which uses statistical modeling to score candidate fusions in single-cell RNA sequencing data, is being used to map splice sites in individual tumor cells.
Investigators are planning to further validate specific applications, such as prediction of lung and lymphoma cancer subtypes, in independent sample sets.
At the second virtual session of the AACR annual meeting, researchers also discussed how they're using CRISPR to develop better cancer models and reprogram T cells.
The Bay Area startup is offering a no-touch method to separate cell populations for downstream analysis in genomics and synthetic biology applications.
