Microwell-seq3 – fast and flexible profiling of chromatin accessibility and total RNA expression in single nuclei
Advancements in single-cell genomics have revolutionized our understanding of cell diversity and function in complex…
Browsing: Publications
GPTCelltype – large language model GPT-4 annotation of cell types using marker gene information in single-cell RNA sequencing analysis
In the fields of biology and genetics, single-cell RNA sequencing (scRNA-seq) has emerged as a…
RNA sequencing reveals strong molecular overlaps between movement disorder ALS and cognitive disorder FTLD
Single-cell gene expression patterns in the brain, and evidence from follow-up experiments, reveal many shared…
SEnd-seq offers a novel paradigm for understanding bacterial transcription
Researchers have discovered that the transcriptome of Mycobacterium tuberculosis mainly consists of incomplete transcripts resulting…
Trained machine-learning models can generate synthetic whole-slide image tiles of tumours from RNA-sequencing data
In cancer research, acquiring diverse and large datasets is often challenging and costly. However, a…
NAP-seq reveals multiple classes of structured noncoding RNAs with regulatory functions
The human genome is a vast landscape of genetic information, but much of it remains…
Single-Cell RNA-seq reveals transcriptomic modulation of Alzheimer’s disease by activated protein C
“We believe our study utilizing Single-Cell RNA sequencing will provide additional rationale towards the effects…
One-pot method for preparing DNA, RNA, and protein for multiomics analysis
Unraveling the complexities of diseases such as cancer often requires a multi-faceted approach, analyzing various…
CLiPPR-Seq – global identification of mRNA-interacting circular RNAs
Circular RNA (circRNA) has garnered considerable attention in recent years due to its regulatory roles…
Artificial spike-ins could improve accuracy of plant RNA-seq analysis
Researchers at NC State have published a simple trick that improves the accuracy of techniques…