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LUDC Bioinformatics Unit

We provide bioinformatics, biostatistics and computational support to anyone affiliated with LUDC, as well as access to a high-performance computing environment. Our fields of expertise cover a wide range of areas.


Dmytro Kryvokhyzha (Head of the LUDC Bioinformatics Unit), Mikael Åkerlund

  • Designing a study (sample size, sequencing type, sequencing depth, etc.)
  • Developing reproducible and scalable analysis pipelines
  • Programming (Python, R, Bash, Awk, Snakemake)
  • Selecting appropriate bioinformatics programs
  • Manuscript preparation (methods description, figures, tables, data publishing, etc.)


Marlena Maziarz

  • Designing a study (prospective, retrospective, cross-sectional, longitudinal, case-control, case-cohort, nested case-control, among others)
  • Selecting the appropriate statistical methods to use for your study design and your scientific question(s)
  • Performing statistical analyses in R, SAS, SPSS, or STATA using reproducible research practices
  • Interpreting results
  • Manuscript preparation (statistical methods and results sections, tables, and figures)
  • Responding to reviewers

Servers and High Performance Computing

Mattias Borell, Johan Hultman

  • Creating tools, webapps and scripts for users and groups / studies
  • Programming (PHP, Perl, JavaScript, Bash)
  • Databases (PostgreSQL, MySQL, MariaDB, DB2, SQLite)
  • System administration of our server systems
  • General Linux knowledge
  • Installation and maintenance of a software repository for our HPC cluster
  • Maintaining backups of servers, databases, and all data stored in GPFS, our storage for the HPC cluster
  • Guiding and helping users working in the HPC cluster environment

Database management

Jasmina Kravić

  • Assisting and developing questionnaires/forms, ensuring they meet requirements for the entry and reporting of clinical data of varying complexity
  • Defining and creating datasets in the database for receiving, processing, and tracking data
  • Transforming/coding, cleaning, and uploading the collected data from different studies/sources
  • Controlling access to the database, setting data privacy and ensuring data integrity
  • Generating data retrievals and summaries for national and international projects
  • Providing statistical summaries of data

Laboratory information management systems (LIMS)

Mikael Åkerlund

  • Configuration and maintenance
  • Creating local modules and enhancements to stock system
  • Setup of new data collections