Human retrotransposons and effective computational detection methods for next-generation sequencing data

HIGHLIGHTS

• who: Haeun Lee and colleagues from the Department of Bioconvergence Engineering, Dankook University, Yongin, Korea have published the research work: Human Retrotransposons and Effective Computational Detection Methods for Next-Generation Sequencing Data, in the Journal: Life 2022, 12, 1583. of 14/05/2022
• what: In contrast, non-LTR elements such as Long interspersed element 1 (LINE-1), ons have affected the human genome and which bioinformatics toolsgenome, should be utilized Alu, and SVA elements, which comprise one-third of the human have shown to activities detect retrotransposon insertions, depending on the research purpose. and cause . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.