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Clinical Genome Center

Data analysis / Bioinformatics

Examples of this include:

  • Sequencing alignment, DNA and RNA
  • Variant calling
  • Somatic variant calling
  • Microarray data analysis
  • Copy-number analysis
  • Unsupervised learning
  • Classification
  • Pathway analysis
  • Single cell analysis

Furthermore, bioinformatic tools are applied for filtering the large amount of data to identify causal genetic variants and mechanisms. Statistical and bioinformatical methods are developed in projects demanding more specialized tools.

 

Clustering

Last Updated 29.01.2024