Kristoffer Sahlin

SciLifeLab Fellow, Stockholm University

Key publications

Maier, B.D. and Sahlin, K.
Entropy predicts sensitivity of pseudo-random seeds.
Genome Res. (2023).

Sahlin, K.
Strobealign: flexible seed size enables ultra-fast and accurate read alignment.
Genome Biol. 23, 260 (2022).

Pomerantz*, A., Sahlin*, K. et al.
Rapid in situ identification of biological specimens via DNA amplicon sequencing using miniaturized laboratory equipment.
Nat. Protoc. (2022).

Sahlin, K.
Effective sequence similarity detection with strobemers.
Genome Res. (2021).

Sahlin, K. and Medvedev, P.
Error correction enables use of Oxford Nanopore technology for referencefree transcriptome analysis.
Nat. Commun. 12, 2 (2021).

Sahlin, K. et al.,
Deciphering highly similar multigene family transcripts from Iso-Seq data with IsoCon.
Nat. Commun, 9, 4601 (2018).

Research interests

We develop algorithms and statistical models to analyze large biological datasets. Particularly, we develop algorithms for all types of sequencing data related to sequence mapping, assembly, structural variation detection, and more.

Our lab is interested both in the theory of algorithms and statistical methods (primarily in bioinformatics), as well as the practical and applied aspects to relevant biological and biomedical questions. 

Group members

Kristoffer Sahlin, PI (

  • Alexander Petri (PhD student)
  • Ivan Tolstoganov (PhD student)
  • Mahmud Sami Aydin (PhD student)

Last updated: 2023-08-18

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