Author

Benedicte Alexandra Lie

Oslo University HospitalORCID 0000-0002-1159-7004Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 2 Approach:benchmark study· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1

Frequent Co-Authors

Arvind Y. M. SundaramiD· 2 shared Fatima HeinickeiD· 2 shared Gregor D. GilfillaniD· 2 shared Johannes BreidenbachiD· 2 shared Magnus LeithaugiD· 2 shared Manuela ZucknickiD· 2 shared Marianne DallandiD· 2 shared Simon RayneriD· 2 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersMolecular Biology

Arvind Y. M. SundaramORCID

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3 papers

Recent·Most cited

Molecular BiologyRNA BiologyPeer-reviewedMay 21, 2020

An extension to: Systematic assessment of commercially available low-input miRNA library preparation kits

Fatima Heinicke, Xiangfu Zhong, Manuela Zucknick…·Gregor D. Gilfillan

The paper evaluates two additional miRNA library preparation kits, confirming that miRNA abundance biases are kit-specific and affect dataset comparability.

7 citations

humanbulk RNA-seq

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BioinformaticsRNA BiologyPeer-reviewedSep 27, 2019

Systematic assessment of commercially available low-input miRNA library preparation kits

Fatima Heinicke, Xiangfu Zhong, Manuela Zucknick…·Gregor D. Gilfillan

This study evaluates six commercial low-input miRNA library prep kits, finding differences in detection sensitivity and differential expression but no kit fully captures all expected miRNAs.

45 citations

humanbulk RNA-seq

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GeneticsCellPeer-reviewedOct 18, 2018

Low frequency and rare coding variation contributes to multiple sclerosis risk

Mitja Mitrovič, Nikolaos A. Patsopoulos, Ashley Harris Beecham…·Hakon H. Hakonarson

The paper identifies low-frequency coding variants contributing to multiple sclerosis risk using a large case-control study.

173 citationstop 1%

humanGWAS summary statistics

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