Author

Miriam Lucke

Hebrew University of JerusalemORCID 0000-0002-5521-6648Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 2 Organism:Arabidopsis· 1 Organism:bacteria (other)· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Aleksandra E. KornienkoiD· 1 shared Alexander Martin GelleriD· 1 shared Alicia ClumiD· 1 shared Almudena Molla MoralesiD· 1 shared Andrea MovilliiD· 1 shared Anette HabringiD· 1 shared Anna A. IgolkinaiD· 1 shared Asaf LevyiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperGenomics

Aleksandra E. KornienkoORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintDec 23, 2024

The 1001G+ project: A curated collection of Arabidopsis thaliana long-read genome assemblies to advance plant research

Carlos Alonso‐Blanco, Haim Ashkenazy, Pierre Baduel…·Wenfei Xian

The paper curates and presents a collection of long-read genome assemblies for Arabidopsis thaliana accessions to enhance plant genome research.

3 citations

Arabidopsiswhole-genome sequencing

𝕏 PostBluesky

BioinformaticsNucleic Acids ResearchPeer-reviewedOct 25, 2021

Deeplasmid: Deep learning accurately separates plasmids from bacterial chromosomes

William Andreopoulos, Alexander Martin Geller, Miriam Lucke…·Asaf Levy

Deeplasmid uses deep learning to accurately distinguish plasmids from bacterial chromosomes in assembled genomes, achieving high precision and validating novel plasmid detection.

54 citations

bacteria (other)whole-genome sequencing

𝕏 PostBluesky