Author

K. Karkkainen

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Evolutionary Biology· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:fine-mapping· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

T. Pyhajarvi· 2 shared A. K. Niskanen· 1 shared D. Ojeda· 1 shared J.-P. Verta· 1 shared O. Savolainen· 1 shared S. Kujala· 1 shared S. T. Kujala· 1 shared T. Mattila· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 21 mutual co-author links

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2 shared papersEvolutionary Biology

T. Pyhajarvi

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2 papers

Recent·Most cited

Does the seed fall far from the tree? Weak fine scale genetic structure in a continuous Scots pine population

A. K. Niskanen, S. T. Kujala, K. Karkkainen, O. Savolainen, T. Pyhajarvi

The paper examines fine-scale genetic structure in Scots pine, finding low average relatedness at short distances and no site differentiation.

bioRxiv · Jun 16, 2023Evolutionary Biology

Utilization of tissue ploidy level variation in de novo transcriptome assembly of Pinus sylvestris

D. Ojeda, T. Mattila, T. Ruttink, S. Kujala, K. Karkkainen, J.-P. Verta, T. Pyhajarvi

This study evaluates the impact of using haploid tissue in de novo transcriptome assembly of Pinus sylvestris to reduce allelic redundancy and improve transcriptome quality.

bioRxiv · Dec 13, 2018Evolutionary Biology