Differential Splicing Analysis
Differential Splicing Analysis is a computational method that identifies statistically significant changes in alternative splicing patterns between biological conditions by quantifying and comparing isoform usage across RNA-seq datasets.
642
Publications
98.8K
Citations
4.3K
Authors
1.1K
Institutions
Publications per year
2017–2026
211
Parents
642
Detecting differential usage of exons from RNA-seq data
Simon Anders, Alejandro Reyes, Wolfgang Huber · Genome Research · 2012 · 1.6K citations · Full text
Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder
Michael J. Gandal, Pan Zhang, Evi Hadjimichael et al. · Science · 2018 · 1.3K citations · Full text
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Harvard University
Cambridge, United States
16 h-index
83 publications
52.5K citations
University of California, Los Angeles
Los Angeles, United States
16 h-index
81 publications
34.4K citations
Inserm
Paris, France
16 h-index
73 publications
6.2K citations

Centre National de la Recherche Scientifique
Paris, France
14 h-index
70 publications
2.7K citations
University of Pennsylvania
Philadelphia, United States
14 h-index
67 publications
5.8K citations

Howard Hughes Medical Institute
Chevy Chase, United States
13 h-index
41 publications
5.1K citations
National Institutes of Health
Bethesda, United States
13 h-index
51 publications
3.9K citations
Stanford University
Stanford, United States
12 h-index
45 publications
3.3K citations
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38 publications · 46.5K citations
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JBC · 29 publications · 2.7K citations
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PNAS · 19 publications · 4.8K citations
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21 publications · 1.7K citations
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20 publications · 880 citations
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