Jay Hesselberth
University of Colorado School of Medicine
46 papers found
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Cell-level metadata are indispensable for documenting single-cell sequencing datasets
Download from doi.orgSimultaneous measurement of biochemical phenotypes and gene expression in single cells
Download from doi.orgclustifyr: an R package for automated single-cell RNA sequencing cluster classification
Download from doi.orgMultiple decay events target HAC1 mRNA during splicing to regulate the unfolded protein response
Download from doi.orgRecovery and analysis of transcriptome subsets from pooled single-cell RNA-seq libraries
Download from doi.orgGenetic bypass of essential RNA repair enzymes in budding yeast
Download from doi.orgDiverse fates of uracilated HIV-1 DNA during infection of myeloid lineage cells
Download from doi.orgImprovements to the HITS-CLIP protocol eliminate widespread mispriming artifacts
Download from doi.orgnihexporter: an R package for NIH funding data
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