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Identification of Taxonomically Restricted Transcripts from Illumina RNA Sequencing Data.

William R Blevins
Published in: Methods in molecular biology (Clifton, N.J.) (2022)
In order to perform a well-balanced comparative transcriptomic analysis, the reference genome and annotations for all species included in the comparison must be of a similar quality and completeness. Frequently, comparative transcriptomic analyses include non-model organisms whose annotations are not as well curated; this inequality can lead to biases.To avoid potential biases stemming from incomplete annotations, a comparative transcriptomic analysis can incorporate de novo transcriptome assemblies for each species, which reduces this disparity. This chapter covers all of the steps which are necessary to run a comparative transcriptomic analysis with de novo transcriptome assemblies, from the first step of the experimental design to the sequencing, and ultimately the bioinformatic analysis.
Keyphrases
  • single cell
  • rna seq
  • genome wide
  • gene expression
  • risk assessment
  • machine learning
  • multidrug resistant
  • data analysis
  • artificial intelligence
  • high throughput sequencing