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Landscape of the Dark Transcriptome Revealed through Re-mining Massive RNA-Seq Data
View ORCID ProfileJing Li, View ORCID ProfileUrminder Singh, View ORCID ProfileZebulun Arendsee, View ORCID ProfileEve Syrkin Wurtele
doi: https://doi.org/10.1101/671263
Jing Li
1Genetics and Genomics Graduate Program, Iowa State University, Ames, 541004, USA
3Department of Genetics, Development, and Cell Biology, Iowa State University, Ames, 50014, USA
4Center for Metabolic Biology, Iowa State University, Ames, 50014, USA
Urminder Singh
2Bioinformatics and Computational Biology Program, Iowa State University, Ames, 50014, USA
3Department of Genetics, Development, and Cell Biology, Iowa State University, Ames, 50014, USA
4Center for Metabolic Biology, Iowa State University, Ames, 50014, USA
Zebulun Arendsee
2Bioinformatics and Computational Biology Program, Iowa State University, Ames, 50014, USA
3Department of Genetics, Development, and Cell Biology, Iowa State University, Ames, 50014, USA
4Center for Metabolic Biology, Iowa State University, Ames, 50014, USA
Eve Syrkin Wurtele
1Genetics and Genomics Graduate Program, Iowa State University, Ames, 541004, USA
2Bioinformatics and Computational Biology Program, Iowa State University, Ames, 50014, USA
3Department of Genetics, Development, and Cell Biology, Iowa State University, Ames, 50014, USA
4Center for Metabolic Biology, Iowa State University, Ames, 50014, USA
Posted April 09, 2020.
Landscape of the Dark Transcriptome Revealed through Re-mining Massive RNA-Seq Data
Jing Li, Urminder Singh, Zebulun Arendsee, Eve Syrkin Wurtele
bioRxiv 671263; doi: https://doi.org/10.1101/671263
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