The origin of many diseases begins at the cellular level and involves multiple molecular interactions. However, previous methods have struggled to accurately observe changes in individual cells.
Morning Overview on MSN
Single-cell breakthrough decodes transcriptome, epigenome & 3D genome at once
A team led by Professor Inkyung Jung from the Department of Biological Sciences at KAIST, working with Professor Yarui Diao’s ...
As single-cell genomics experiments grow in size, so too does the need for sequencing. Several large projects have recently called on the relative newcomer to the NGS scene, Ultima Genomics, for their ...
In this GEN Learning Lab, our expert panelists Linda Orzolek, MS, MB, Xuhuai Ji, MD, PhD, and Christina Chang, PhD, will discuss the current landscape of imaging- and next-generation sequencing-based ...
A comprehensive review article titled “Bioinformatics perspectives on transcriptomics: A comprehensive review of bulk and single-cell RNA sequencing analyses,” published in Quantitative Biology, ...
Researchers from the National University of Singapore (NUS) have developed CellScope, a high-performance single-cell analysis ...
Breast cancer remains one of the most prevalent and life-threatening forms of cancer, impacting millions worldwide. This malignancy's heterogeneity and complexity have long posed significant ...
Typical workflow of computational cell lineage tracing. The workflow includes cell labeling, data acquisition, trajectory inference, and lineage reconstruction and visualization. Over the past two ...
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