View.pdf

song_plos_gen_2018_OA.pdf
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🔗 Source: pure.mpg.de
📊 Size: 2.36 MB
👤 Author: Baoxing Song, Richard Mott, Xiangchao Gan
⬇️ Downloads: 61

Summary

Researchers developed a method to improve genome-wide association studies by leveraging insertions and deletions (INDELs) and integrating multiple types of variants. They found that 63% of INDELs in Arabidopsis thaliana and 64% in Drosophila melanogaster were misclassified, leading to inconsistent annotations. To address this, they created the software Irisas to reclassify and re-annotate these variants. Using Irisas, they re-analyzed two datasets and identified novel trait loci that previous SNP-based association studies missed, explaining an additional 11% and 3% of phenotypic variance in A. thaliana and D. melanogaster, respectively.

Description

Researchers developed a method to improve genome-wide association studies by leveraging insertions and deletions (INDELs) and integrating multiple types of...

Technical Information

  • File Format: PDF
  • File Size: 2.36 MB
  • Pages: 24
  • Language: EN
  • Author: Baoxing Song, Richard Mott, Xiangchao Gan
  • Total Downloads: 61
  • Last Updated: 6 days ago

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