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Marcus Olatoye - Quantitative Genomics
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Marcus Olatoye

Quantitative Genomics
Kansas State University • Manhattan • United States of America

Skills and expertise

Fields of interest
  • WGS analysis
  • aCGH data analysis
  • cryo-EM
  • English
  • German
Programming languages
  • Java
  • R

Fields of interest

WGS analysis
Consists in a benchmark dataset. Syndip has been designed from high-quality…
Investigates developmental epigenomes and transcriptomes that are related to De…
Estimates telomere length from cancer whole genome sequencing (WGS) data.…
aCGH data analysis
Permits user to work on segmentation of genomic and epigenomic profiles. iSeg…
Combines several steps for a high-quality probe and primer design for a variety…
Finds cancer subtypes. Scluster is based on an adaptive sparse reduced-rank…
Consists of a cloud based deep learning solution for image segmentation of…
Permits users to model missing segments into cryo-electron microscopy (cryo-EM)…
Permits the treatment of cryo-electron microscopy (cryo-EM) images of…