Research gap
A research opportunity connected to missing evidence, methods, datasets, validation, or translation.
Gap type
Priority
Evidence
Status
Followers
Evidence links
Preparing research brief
The platform is organizing evidence for this page. Linked papers and discussion remain available while the brief is prepared.
The first accepted evidence set for Single-Cell Genomics includes 12 papers. Evidence currently spans 2021 to 2024. Methods represented in the accepted evidence include CITE-seq dataset analysis, Multi-omics data integration, Overview of scRNA-seq technology. The most specific unresolved gap is unresolved large data volumes pose computational challenges. Paper intelligence specifically flags: Large data volumes pose computational challenges; High-level noise in individual single-cell profiles; Remaining challenges in scRNA-seq technology need to be overcome. This gap should be tracked as topic memory, paper intelligence, and future accepted evidence mature.
Current barriers will appear when evidence is linked or reviewed.
Advances in single-cell omics and multiomics for high-resolution molecular profiling
Jongsu Lim; Chanho Park; Minjae Kim; Hyukhee Kim; Junil Kim; Dong-Sung Lee · 2024 · Experimental & Molecular Medicine
A fast, scalable and versatile tool for analysis of single-cell omics data
Kai Zhang; Nathan R. Zemke; Ethan J. Armand; Bing Ren · 2024 · Nature Methods
Effect of the intratumoral microbiota on spatial and cellular heterogeneity in cancer
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Signal current status
Useful contributions cite evidence, clarify uncertainty, or explain why the object has changed.
Jorge Luis Galeano Niño; Hanrui Wu; Kaitlyn D. LaCourse; Andrew G. Kempchinsky; Alexander Baryiames; Brittany Barber; Neal D. Futran; Jeffrey Houlton; Cassie Sather; Ewa Sicińska; Alison Taylor; Samuel S. Minot; Christopher D. Johnston; Susan Bullman · 2022 · Nature
Existing attempts will appear when papers are linked.
Limitations will be summarized from reviewed evidence when available.