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Research · Peer-Reviewed
The science behind the platform.
CapyBio’s methods are published in Nature, Nature Biotechnology, Cell, Cell Stem Cell, and Stem Cell Reports. They anchor how we measure identity and predict fate.
01 · Publications indexed
08
02 · Foundational methods
3
03 · Years of work
2014–2025
Featured · Platform foundations
The three papers the platform is built on.
Paper · 01PubMed ↗
Nature · 2023
Dissecting cell identity via network inference and in silico gene perturbation
Kamimoto et al.
(opens in new tab)Paper · 02PubMed ↗
Cell Stem Cell · 2022
Capybara: A computational tool to measure cell identity and fate transitions
Kong et al.
(opens in new tab)Paper · 03PubMed ↗
Cell Stem Cell · 2025
Comparative single-cell lineage tracing identifies distinct adipocyte precursor dynamics in skin and inguinal fat
Rivera-Gonzalez and Butka et al.
(opens in new tab)Method & application papers.
Filter · Year
Filter · Journal
- 01
Single-cell lineage capture across genomic modalities with CellTag-multi reveals fate-specific gene regulatory changes
Jindal et al.
Nature Biotechnology2024 · PubMed ↗(opens in new tab) - 02
Gene regulatory network reconfiguration in direct lineage reprogramming
Kamimoto et al.
Stem Cell Reports2023 · PubMed ↗(opens in new tab) - 03
Single-cell mapping of lineage and identity in direct reprogramming
Biddy et al.
Nature2018 · PubMed ↗(opens in new tab) - 04
Dissecting engineered cell types and enhancing cell fate conversion via CellNet
Morris, Cahan, and Li et al.
Cell2015 · PubMed ↗(opens in new tab) - 05
CellNet: network biology applied to stem cell engineering
Cahan, Morris, and Li et al.
Cell2014 · PubMed ↗(opens in new tab)