BRIE: transcriptome-wide splicing quantification in single cells
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Exploring the Complexity of Cortical Development Using Single-Cell Transcriptomics.The Expanding Landscape of Alternative Splicing Variation in Human Populations.Multi-Omics Factor Analysis-a framework for unsupervised integration of multi-omics data sets.Exploring the single-cell RNA-seq analysis landscape with the scRNA-tools databaseSingle-cell RNAseq for the study of isoforms-how is that possible?
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BRIE: transcriptome-wide splicing quantification in single cells
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2017 nî lūn-bûn
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2017年の論文
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name
BRIE: transcriptome-wide splicing quantification in single cells
@en
type
label
BRIE: transcriptome-wide splicing quantification in single cells
@en
prefLabel
BRIE: transcriptome-wide splicing quantification in single cells
@en
P2860
P1433
P1476
BRIE: transcriptome-wide splicing quantification in single cells
@en
P2093
Guido Sanguinetti
P2860
P2888
P356
10.1186/S13059-017-1248-5
P577
2017-06-27T00:00:00Z
P6179
1086299242