In recent years RNA-sequencing (RNA-seq) has emerged as a powerful technology for transcriptome profiling. For a given gene, the number of mapped reads is not only dependent on its expression level and gene length, but also the sequencing depth. To ...
Read More »RPKM, FPKM and TPM, clearly explained
from StatQuest It used to be when you did RNA-seq, you reported your results in RPKM (Reads Per Kilobase Million) or FPKM (Fragments Per Kilobase Million). However, TPM (Transcripts Per Kilobase Million) is now becoming quite popular. Since there seems ...
Read More »Removing technical noise from single cell RNA-Seq data
Single-cell RNA-seq is a promising technology with broad applications and discerning biological noise from technical noise is critical for correctly interpreting the data (Jaitin, et al., 2014). Recently, statistical methods are developed to model the technical noise from spike-in ERCC ...
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