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Riku Katainen - Cancer research
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Riku Katainen

Cancer research
University of Helsinki • Helsinki • Finland

Skills and expertise

Fields of interest
  • WGS analysis
  • WES analysis
  • aCGH data analysis
  • English
Programming languages
  • Java






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Enables tightly integrated comparative variant analysis and visualization of thousands of next generation sequencing (NGS) data samples and millions of variants. BasePlayer is a highly efficient and…

Fields of interest

WGS analysis
Allows users to compare the performance of different tools for the non-coding…
Genotypes normal and expanded tandem repeats (TRs) from next-generation…
Serves to ChIP-seq Wig data. Wig is a standard file format, which in this…
WES analysis
Provides a visualization engine module. genomeview was developed for both…
Assists users for the reconstruction and analysis in the protein adaptation.…
Forecasts disease candidate genes. The approach is composed of a learning and a…
aCGH data analysis
Consists of a Bayesian, unsupervised, integrative clustering model for…
Finds cancer subtypes. Scluster is based on an adaptive sparse reduced-rank…
Permits user to work on segmentation of genomic and epigenomic profiles. iSeg…