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Jae-Yong Nam - Computational biology
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Jae-Yong Nam

Computational biology
Samsung Medical Center • Seoul • Republic of Korea

Skills and expertise

Fields of interest
  • WES analysis
  • RNA-seq analysis
  • scRNA-seq analysis
  • English
Programming languages
  • Perl
  • Python
  • R

Fields of interest

WES analysis
Prioritizes disease genes for all phenotypes. IDPL aims to relieve the bias…
Leverages adjacent normal tissue from tumor biopsies. LumosVar has seven steps:…
Permits exome, whole-genome, and targeted sequencing analyses. Mosdepth is a…
RNA-seq analysis
Enhances sequencing depth in low coverage areas with CIGAR string correction.…
Provides a tool to select the band width according to the read’s error rates.…
Allows users to conduct large-scale comparisons of their results with thousands…
scRNA-seq analysis
Provides a stochastic gene expression model that allows for transcriptional…
Aims to represent a family of aligned protein sequences or a collection of…
Provides a computational method for single cell data analysis. SoptSC can be…