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Normalization software tools | RNA sequencing data analysis

Normalization software tools | RNA sequencing data analysis The expected expression level of each transcript is limited by the sequencing depth or total number of reads, which is pre-determined by the experimental design and budget before sequencing. Since the expression level of the transcripts within the sample is dependent upon the other transcripts present, given a fixed total read count, higher expressed transcripts will have a greater proportion of total reads. Furthermore, longer transcripts have more reads mapping to them compared with shorter transcripts of a similar expression level. Therefore, a number of normalization methods for RNA-seq data have been proposed to correct for library size bias as well as length and GC-content bias.
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