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UID:20250515T090320EDT-0870OFxB5v@132.216.98.100
DTSTAMP:20250515T130320Z
DESCRIPTION:Integrated analysis of single-cell data across technologies and
  modalities\n\nRahul Satija\, New York Genome Center\n	Tuesday October 15\,
  12-1pm\n	McIntyre Medical Building\, room 1034\n\nAbstract: Single cell tr
 anscriptomics (scRNA-seq) has transformed our ability to discover and anno
 tate cell types and states\, but deep biological understanding requires mo
 re than a taxonomic listing of clusters. As new methods arise to measure d
 istinct cellular modalities\, including high-dimensional immunophenotypes\
 , chromatin accessibility\, and spatial positioning\, a key analytical cha
 llenge is to integrate these datasets into a harmonized atlas that can be 
 used to better understand cellular identity and function. Here\, we develo
 p a computational strategy to “anchor” diverse datasets together\, enablin
 g us to integrate and compare single cell measurements not only across scR
 NA-seq technologies\, but different modalities as well. After demonstratin
 g substantial improvement over existing methods for data integration\, we 
 anchor scRNA-seq experiments with scATAC-seq datasets to explore chromatin
  differences in closely related interneuron subsets\, and project single c
 ell protein measurements onto a human bone marrow atlas to annotate and ch
 aracterize lymphocyte populations. Lastly\, we demonstrate how anchoring c
 an harmonize in-situ gene expression and scRNA-seq datasets\, allowing for
  the transcriptome-wide imputation of spatial gene expression patterns\, a
 nd the identification of spatial relationships between mapped cell types i
 n the visual cortex. Our work presents a strategy for comprehensive integr
 ation of single cell data\, including the assembly of harmonized reference
 s\, and the transfer of information across datasets.\n
DTSTART:20191015T160000Z
DTEND:20191015T170000Z
LOCATION:Room 1034\, McIntyre Medical Building\, CA\, QC\, Montreal\, H3G 1
 Y6\, 3655 promenade Sir William Osler
SUMMARY:QLS Seminar Series - Rahul Satija
URL:/qls/channels/event/qls-seminar-series-rahul-satij
 a-300852
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