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kBET informs attempts at single-cell RNA-seq data integration by quantifying batch effects and determining how well batch regression and normalization approaches remove technical variation while preserving biological variability.
A multi-laboratory study finds that single-molecule FRET is a reproducible and reliable approach for determining accurate distances in dye-labeled DNA duplexes.
Reanalysis of DNA-immunoprecipitation-based data shows that modification-specific antibodies bind unmodified short tandem repeats, and IgG controls are needed to avoid false positives.
This Analysis compares and contrasts methods for measuring the mechanical properties of cells by applying the different approaches to the same breast cancer cell line.
A direct comparison of 5′-end RNA-seq methods reveals strong performance by CAGE, and identifies differential transcriptional start site usage among brain-related samples.
An extensive evaluation of differential expression methods applied to single-cell expression data, using uniformly processed public data in the new conquer resource.