Glad to have well-documented support and resources from @illumina and @ENCODE_NIH for considerations when designing RNA-seq experiments https://t.co/4KRQA94UTz Trade-off between read depth and sample size discussed here https://t.co/4vtuHCUZLL
https://t.co/nRna6HBfU7 Empirical assessment of the impact of sample number and read depth on RNA-Seq analysis workflow performance. - PubMed - NCBI https://t.co/aosUPEmgX7 posted by friends: (1) CompBiolPapers: Empirical assessment of the impact of sa
Empirical assessment of the impact of sample number and read depth on RNA-Seq analysis workflow performance. https://t.co/4pAJ5fDSld
RT @KVittingSeerup: #Bioinformatics #RNASeq DE benchmark comparing both quant pipeline and DE tools: Result 1: DE tool > quant pipeline R…