Author

S. Lagstrom

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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Immunology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Approach:experimental assay· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Assay:clinical cohort / trial· 1 Research Focus:clustering· 1 Research Focus:deconvolution· 1

Frequent Co-Authors

A. Ranki· 1 shared E. Einarsdottir· 1 shared E. Haapaniemi· 1 shared E. Morgunova· 1 shared E. Weiderpass· 1 shared H. Heikkila· 1 shared J. Eriksson· 1 shared J. Kere· 1 shared

Activity by Year

2017-2018 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperImmunology

A. Ranki

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Characterization of novel TMEM173 mutation with additive IFIH1 risk allele

S. Keskitalo, E. Haapaniemi, E. Einarsdottir, K. Rajamaki, H. Heikkila, M. Ilander, M. Poyhonen, E. Morgunova, K. Hokynar, S. Lagstrom, S. Kivirikko, S. Mustjoki, K. Eklund, J. Saarela, J. Kere, , M. Varjosalo

The paper reports a novel gain-of-function TMEM173 mutation and its additive effects with IFIH1 risk allele on clinical phenotype in a multigeneration family.

bioRxiv · Aug 17, 2018Immunology

Reproducibility and repeatability of six high-throughput 16S rDNA sequencing protocols for microbiota profiling

S. Raju, S. Lagstrom, P. Ellonen, W. M. De Vos, J. Eriksson, E. Weiderpass, T. B. Rounge

The paper evaluates six 16S rDNA sequencing protocols for microbiota profiling, finding that TS-tailed methods provide the highest reproducibility and repeatability on the HiSeq platform.

bioRxiv · Dec 27, 2017Microbiology