Bottlenecks in the study of TCR-antigen specificity:
Stewardship of organoids:
Detecting, monitoring and mitigating false positives in lncRNA screens.
Introducing bioAFM-DB, a databank for atomic force microscopy data.
In a new Points of View, our columnists describe the application of 'principles of proximity' to generate engaging scientific figures.
In this month's Editorial, we provide some tips for writing well-structured and professional rebuttal letters for editors and peer reviewers to evaluate.
Our October issue is live! 🎉
www.nature.com/nmeth/volume...
On the cover, polygenic risk score prediction in diverse populations is made possible with a new computational tool, SPLENDID. Paper: www.nature.com/articles/s41...
Read the associated Research Briefing, here:
VIMA: a deep learning-based method to identify differentially enriched features in spatial datasets.
CCI-seq leverages combinatorial cell clump indexing and single-cell sequencing to capture large-scale cell-cell interaction networks.
Transferable retention time prediction across liquid chromatographic conditions and compound classes.
CytoVI: a deep generative model for statistically rigorous analysis of antibody-based single cell data.
Check out the @natureportfolio.nature.com Collection of articles related to this year's Nobel Prize in Physiology or Medicine, here:
Back in 2010 when we selected optogenetics as our Method of the Year, we had already observed the transformative impact that it was making on basic research in neuroscience. www.nature.com/nmeth/volume...
www.nature.com/articles/nme...
It's exciting to see how far the technology has come!
Spatial Hi-C allows the study of chromatin in a spatially resolved manner, as applied to adult and developing mouse brains.
Graphene reservoirs formed over perforated support films precisely control ice thickness during cryo-EM sample preparation.
ResolVI: error and batch correction for spatial transcriptomics data.
SVPG: accurate pangenome-facilitated structural variant detection from long-read sequencing data.
NanoTS: deep learning-based tool for nanopore long-read transcriptome sequencing-based SNP detection and genotype calling.
Confinement force microscopy enables tunable cell confinement for measuring traction forces exerted by single cells and cell aggregates.
