Data Normalization

Assessment of single cell RNA-seq normalization methods

rna-seq

UCSD researchers have assessed the performance of seven normalization methods for single cell RNA-seq using data generated from dilution of RNA samples. Their analyses showed that methods considering spike-in ERCC RNA molecules significantly outperformed those not considering ERCCs. This work ...

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Parametric analysis of RNA-seq expression data

rna-seq

Various methods had been introduced for normalization and comparison of RNA-seq count data. However, they lacked objectivity because they based on ad hoc assumptions that were never verified their appropriateness. Here, researchers from Akita Prefectural University introduced a method that assumes ...

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Normalization of RNA-Seq Data Exercises

rna-seq

from RPubs – by Prasanth A S In order to explain the different methods of normalization and their problems with large array of data, which are assumed to have: most genes are not differentially expressed across conditions. the distribution of ...

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RPKM, FPKM and TPM, clearly explained

rna-seq

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 ...

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