Author

S. Miyano

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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Cancer Biology· 3 Scientific Communication & Education· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1

Frequent Co-Authors

A. Niida· 2 shared S. Imoto· 2 shared T. Hasegawa· 2 shared Y. Shiraishi· 2 shared A. Bateman· 1 shared A. Fujimoto· 1 shared A. Game· 1 shared A. Hamosh· 1 shared

Activity by Year

2017-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersCancer Biology

A. Niida

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Combined landscape of single-nucleotide variants and copy-number alterations in clonal hematopoiesis

R. Saiki, Y. Momozawa, Y. Nannya, M. M. Nakagawa, Y. Ochi, T. Yoshizato, C. Terao, Y. Kuroda, Y. Shiraishi, K. Chiba, H. Tanaka, A. Niida, S. Imoto, K. Matsuda, T. Morisaki, , S. Ogawa

The paper combines SNVs/indels and CNAs analysis in CH to show their co-occurrence and impact on health outcomes.

bioRxiv · Mar 5, 2021Cancer Biology

A unified simulation model for understanding the diversity of cancer evolution

A. Niida, T. Hasegawa, H. Innan, T. Shibata, K. Mimori, S. Miyano

This study develops a unified simulation model to analyze cancer evolution dynamics and identifies conditions under which different evolutionary processes drive tumor growth.

bioRxiv · Jan 28, 2020Cancer Biology

Comprehensive Analysis of Indels in Whole-genome Microsatellite Regions and Microsatellite Instability across 21 Cancer Types

A. Fujimoto, M. Fujita, T. Hasegawa, K. Maejima, K. Nakano, A. Oku-Sasaki, J. H. Wong, Y. Shiraishi, S. Miyano, S. Imoto, M. R. Stratton, S. G. Rosen, H. Nakagawa

The paper analyzes microsatellite mutations across 21 cancer types, identifies MSI cancers, and finds factors influencing mutation rates and functional impacts.

bioRxiv · Feb 22, 2019Cancer Biology

TOWARDS COORDINATED INTERNATIONAL SUPPORT OF CORE DATA RESOURCES FOR THE LIFE SCIENCES

W. Anderson, R. Apweiler, A. Bateman, G.A. Bauer, H. Berman, J.A. Blake, N. Blomberg, S.K. Burley, G. Cochrane, V. Di Francesco, T. Donohue, C. Durinx, A. Game, E.D. Green, T. Gojobori, , P.F. Lasko

The paper discusses the need for coordinated international funding to sustain core data resources in life sciences and presents considerations for a new funding model.

bioRxiv · Apr 27, 2017 · PreprintScientific Communication & Education