The human genome is pervasively transcribed and produces a wide variety of long non-coding RNAs (lncRNAs), constituting the majority of transcripts across human cell types. Some specific nuclear lncRNAs have been shown to be important regulatory components acting locally. As RNA-chromatin interaction...
To validate the results of scCATCH, three independent scRNA-seq datasets, which were not recorded in the CellMatch database, were used, and cell types in these three datasets were identified or validated viaFACS,in situhybridization, or IHC. In particular, the Chen dataset (Chen et al., 201...
Untargeted metabolomics experiments rely on spectral libraries for structure annotation, but, typically, only a small fraction of spectra can be matched. Previous in silico methods search in structure databases but cannot distinguish between correct and incorrect annotations. Here we introduce the COSMIC ...
## >> gpt-4o-mini is being used with a temperature setting of 0 ## >> Response: T cell ## >> Response: Monocyte/Macrophage ## >> Response: CD4+ T cells ## >> Response: B cell ## >> Response: Cytotoxic T lymphocyte (CTL) ## >> Response: Cytotoxic T lymphocytes (CTLs) #...
Transcriptome annotation allows us to understand which genes are being expressed in a particular cell or tissue at a given time, and how the expression of these genes contributes to the overall biology of the cell or tissue. Two main types of annotation are used: Homology-based annotation ...
We reasoned that hESC differentiation models combined with epigenomic enhancer annotation and sequence analysis of the underlying DNA can be used as an unbiased approach to identify main TFs driving gene expression in transient cell types arising during human development. As a proof of concept, we ...
needs to be protected against the untrusted annotation server, which we assume does not act maliciously (does not deviate from the protocols and does not collude with other users) but may want to snoop into the contents of the variant and genotype data if they can. there are two sensitive ...
of cell types across complex annotation hierarchies. To demonstrate the power ofdevCellPy, we construct a murine cardiac developmental atlas from published datasets encompassing 104,199 cells from E6.5-E16.5 and traindevCellPyto generate a cardiac prediction algorithm. Using this algorithm, we ...
AnNoBrainer Matches Brain Images to Reference Brain Atlas Templates With High Accuracy Correct classification of brain layers is crucial for experi- mental neuroscience given the spatial gene expression pat- terns across different layers and cell types. Databases such Table 1 Deep learning ...
Disclosed herein are compositions and methods for targeting a novel regulatory element of a gene. The compositions may be used in methods of modifying growth of a cell, decreasing c