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Editorial Open Access
With the advent of Next-generation sequencing and bioinformatic tools, gene expression studies have changed dramatically. Whole transcriptome studies are providing valuable resources for generating molecular markers like microsatellites and single-nucleotide polymorphisms and candidate genes. Transcriptome sequencing or RNA-Seq becomes more relevant in cases where whole-genome sequencing is not affordable. It provides cost-effective, functionally relevant information and generation of huge number of genomic resources in a reasonable time as compared to traditional approaches. The resulting information may be useful to address areas like differential gene expression, isoforms or allele-specific expression, characterization of regulatory elements, alternative splicing, RNA editing, population genetics and system biology etc.
Transcriptome,Transcriptome analysis,Comparative transcriptomics