Author

J. Ishigohoka

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 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:genome assembly· 1 Organism:non-human primate· 1 Approach:simulation· 1 Organism:zebrafish· 1

Frequent Co-Authors

M. Liedvogel· 2 shared A. Bours· 1 shared A. Rhie· 1 shared B. Haase· 1 shared E. D. Jarvis· 1 shared J. C. Illera· 1 shared J. Collins· 1 shared J. Fuss· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersEvolutionary Biology

M. Liedvogel

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2 papers

Recent·Most cited

High-recombining genomic regions affect demography inference

J. Ishigohoka, M. Liedvogel

This study shows that high-recombining genomic regions affect demography inference using ARG-based methods and suggests caution in species with long stretches of such regions.

bioRxiv · Feb 5, 2024 · PreprintEvolutionary Biology

Distinct patterns of genetic variation at low-recombining genomic regions represent haplotype structure

J. Ishigohoka, K. Bascon-Cardozo, A. Bours, J. Fuss, A. Rhie, J. Mountcastle, B. Haase, W. Chow, J. Collins, K. Howe, M. Uliano-Silva, O. Fedrigo, E. D. Jarvis, J. Perez-Tris, J. C. Illera, M. Liedvogel

The paper identifies distinct genetic variation patterns in low-recombining regions of Eurasian blackcap genomes, attributing them to reduced recombination rates rather than selection.

bioRxiv · Dec 22, 2021Evolutionary Biology