@mjmaccoss @ardongre @ProteomicsNews What are the minimal number of cells needed to get a reliable proteomic readout using mass spec? Similar data point as this: "This supports ours and others’ postulation that the molecular complexity in 1 ng RNA approach
RT @NCIsysbio: Researchers @OhioState collaborating with @UTHealthSA #NCICSBC developed CLEAR, a computational approach that identifies tra…
Researchers @OhioState collaborating with @UTHealthSA #NCICSBC developed CLEAR, a computational approach that identifies transcripts in #lcRNAseq data to facilitate transcriptome profiling and gene expression analysis @BioMedCentral https://t.co/mgpJflIIqV
CLEAR: coverage-based limiting-cell experiment analysis for RNA-seq. https://t.co/bj2yeGHcHU
CLEAR: coverage-based limiting-cell experiment analysis for RNA-seq. https://t.co/YksRi6fAal
New J Transl Med paper out today from Pearlly Yan (with Kirby lab collab) has some eye opening data about how low RNA input can bias lc and scRNAseq results and some ways to deal with it. https://t.co/jjuQmlX150 @OSUWexMed @SpringerNature @OhioStatePsych h
New article: CLEAR: coverage-based limiting-cell experiment analysis for RNA-seq. https://t.co/NvcVWwseQC #CLL #leusm #hematology