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Items: 3

1.

Single-cell multi-omic integration compares and contrasts features of brain cell identity

(Submitter supplied) To flexibly model single-cell datasets, we developed LIGER, an algorithm and software package that delineates shared and dataset-specific features of cell identity. We applied it to four diverse and challenging analyses of human and mouse brain cells, the first two of which include newly generated single-cell transcriptome datasets for mouse and human regions. First, we determined region-specific and sexually dimorphic gene expression in the mouse bed nucleus of the stria terminalis (BNST). more...
Organism:
Homo sapiens; Mus musculus
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL24676 GPL24247
50 Samples
Download data: CSV, MTX
Series
Accession:
GSE126836
ID:
200126836
2.

Illumina NovaSeq 6000 (Mus musculus)

Platform
Accession:
GPL24247
ID:
100024247
3.

BNST_Female_5b

Organism:
Mus musculus
Source name:
Bed nucleus of the stria terminalis
Platform:
GPL24247
Series:
GSE126836
Download data
Sample
Accession:
GSM3615022
ID:
303615022
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db=gds|term=GSM3615022[Accession]|query=1|qty=3|blobid=MCID_68737ba6d8bfb71a7aba0462|ismultiple=true|min_list=5|max_list=20|def_tree=20|def_list=|def_view=|url=/Taxonomy/backend/subset.cgi?|trace_url=/stat?
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