An analysis of tissue-specific alternative splicing at the protein level is a research paper published in PLoS Computational Biology (2020). On theSindex it has a DataRank of 0. It has been cited 96 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
National Human Genome Research Institute
Grant: 2 U41 HG007234
NHGRI NIH HHS
Grant: U41 HG007234
FWCI
4.32
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of Functional enrichment of alternative splicing events with NEASE reveals insights into tissue identity and diseases
Additional file 1 of Functional enrichment of alternative splicing events with NEASE reveals insights into tissue identity and diseases
Additional file 8 of Functional enrichment of alternative splicing events with NEASE reveals insights into tissue identity and diseases
Additional file 8 of Functional enrichment of alternative splicing events with NEASE reveals insights into tissue identity and diseases
Additional file 7 of Definition of the transcriptional units of inherited retinal disease genes by meta-analysis of human retinal transcriptome data
Additional file 7 of Definition of the transcriptional units of inherited retinal disease genes by meta-analysis of human retinal transcriptome data
Additional file 1 of Mining alternative splicing patterns in scRNA-seq data using scASfind
Additional file 1 of Mining alternative splicing patterns in scRNA-seq data using scASfind
Additional file 2 of Mining alternative splicing patterns in scRNA-seq data using scASfind
Additional file 2 of Mining alternative splicing patterns in scRNA-seq data using scASfind
Additional file 1 of SUsPECT: a pipeline for variant effect prediction based on custom long-read transcriptomes for improved clinical variant annotation
Additional file 1 of SUsPECT: a pipeline for variant effect prediction based on custom long-read transcriptomes for improved clinical variant annotation
Additional file 2 of SUsPECT: a pipeline for variant effect prediction based on custom long-read transcriptomes for improved clinical variant annotation
Additional file 2 of SUsPECT: a pipeline for variant effect prediction based on custom long-read transcriptomes for improved clinical variant annotation