Author

Karen L. Artiles

Stanford MedicineORCID 0000-0002-1674-064XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Organism:C. elegans· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

Andrew Z. FireiD· 3 shared Dae‐Eun JeongiD· 2 shared Lamia WahbaiD· 2 shared Massa J. ShouraiD· 2 shared Nimit JainiD· 2 shared Ann E. RougvieiD· 1 shared Chie OwaiD· 1 shared Erich M. SchwarziD· 1 shared

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2020-2025 · peak 1/yr

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10 top collaborators · 40 mutual co-author links

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3 shared papersGenomics

Andrew Z. FireORCID

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3 papers

Recent·Most cited

CGC1, a new reference genome for Caenorhabditis elegans

Kazuki Ichikawa, Massa J. Shoura, Karen L. Artiles, Dae‐Eun Jeong, Chie Owa, Haruka Kobayashi, Yoshihiko Suzuki, Manami Kanamori, Yu Toyoshima, Yuichi Iino, Ann E. Rougvie, Lamia Wahba, Andrew Z. Fire, Erich M. Schwarz, Shinichi Morishita

The paper presents a new gap-free, telomere-to-telomere reference genome for C. elegans, CGC1, improving upon previous assemblies and providing a more complete genome.

Genome Research · Aug 1, 2025Peer-reviewedGenomics

Combined direct/indirect detection allows identification of DNA termini in diverse sequencing datasets and supports a multiple-initiation-site model for HIV plus-strand synthesis

William Yang Wang, Karen L. Artiles, Shinichi Machida, Monsef Benkirane, Nimit Jain, Andrew Z. Fire

The paper introduces a computational method to detect DNA termini using direct and indirect readouts, revealing multiple initiation sites for HIV plus-strand synthesis.

bioRxiv · Jun 12, 2023 · PreprintGenomics

Identification of a pangolin niche for a 2019-nCoV-like coronavirus through an extensive meta-metagenomic search

Lamia Wahba, Nimit Jain, Andrew Z. Fire, Massa J. Shoura, Karen L. Artiles, Matthew J. McCoy, Dae‐Eun Jeong

The paper performs a meta-metagenomic search to identify potential environmental niches for 2019-nCoV by analyzing virome datasets from the NCBI Sequence Read Archive.

bioRxiv · Feb 8, 2020 · PreprintBioinformatics