使lr-kallisto

Rebekah K Loving1, Delaney K Sullivan1,2, Fairlie Reese3,4

  • 1Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, United States of America.

PubMed
概括

准确的全长转录异形量化现在可以通过长读序列数据来实现. 我们的新工具lr-kallisto提高了量化准确性,特别是与外体捕获相结合时.