| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T276 |
0-130 |
Sentence |
denotes |
Recent advances in scRNAseq are empowering us to study tissue and cellular transcriptomes at previously unprecedented resolutions. |
| T277 |
131-491 |
Sentence |
denotes |
Several single-cell RNA sequencing based efforts such as the Human Cell Atlas are spearheading coordinated efforts to catalog gene expression across tissues and cell types, and the raw data from many of these studies are available on public platforms such as the Broad Institute Single Cell Portal (Single Cell Portal, 2020a) and Gene Expression Omnibus (GEO). |
| T278 |
492-688 |
Sentence |
denotes |
Analyses of these datasets are of interest to a wide range of researchers but currently prove challenging for all but a few due to the need for specialized workflows and computing infrastructures. |
| T279 |
689-882 |
Sentence |
denotes |
Consequently, the widespread use of this data for biomedical research is hampered, an issue which is particularly evident in the face of public health crises like the ongoing COVID-19 pandemic. |
| T280 |
883-1080 |
Sentence |
denotes |
To address this unmet need, the nferX platform Single Cell resource enables the rapid and interactive analysis of the continually growing scRNAseq datasets by specialists and non-specialists alike. |
| T281 |
1081-1274 |
Sentence |
denotes |
Furthermore, the seamless triangulation of scRNAseq insights with global and local scores derived from the synthesis of accessible biomedical literature creates a truly first-in-class resource. |
