Page 40 - Annual Report 2020
P. 40

                                       Rendong Yang, Ph.D.
Computational Cancer Genomics
SECTION LEADER / ASSISTANT PROFESSOR
“Identifying specific subtypes of prostate cancer and the distinct pattern of mutations associated with
them will enhance development of precise diagnostic tools that detect specific genetic
aberrations, allowing doctors to reliably predict a patient’s outcome and prescribe personalized
treatment.”
Rendong Yang
                                                            Tingyou Wang Yanan Ren
                                    Developing novel algorithms for indel detection. method, indels contribute to pathogenesis of con-
Our most recent work has been in the develop-
ment of clinical genomic variant detection pipelines for our customized oncology gene panels
in the University of Minnesota Molecular Diagnostic Lab. Briefly, we developed a new algorithm named ScanIndel to accurately detect insertion and deletion (indel) mutations in human genome from next genera- tion sequencing data. In particular, ScanIndel reliably detects medium-size and large indels. With this
 stitutional and somatic diseases can be identified quickly and accurately which is important for targeted therapy or patient prognosis.
Detecting gene rearrangement, splicing and epigenetic regulator of AR in prostate cancer.
We developed an integrated pipeline to detect structural rearrangements in the AR gene, which encodes the androgen receptor. Through this work,
                     SUMMARY
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