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Journal of molecular biology · 2026

KBase: Open-source Platform for Collaborative Biological Data Analysis and Publication.

СтатьяНазвание и аннотация: Перевод в очереди
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Wood-Charlson Elisha M, Henry Christopher S, Dehal Paramvir S, Mahmud Gazi, Allen Benjamin H, Beilsmith Kathleen, Blair D Dakota, Canon Shane, Cashman Mikaela, Chivian Dylan, Cottingham Robert, Crockett Zachary, Dow Ellen G, Drake Meghan, Edirisinghe Janaka N, Faria José P, Freiburger Andrew, Gu Tianhao, Gupta Prachi, Ireland A J, Jungbluth Sean, Kamimura Roy, Keller Keith, Khan Ahmed, Kishore Dileep, Klos Dan, Liu Filipe, Lyon David, Neely Christopher, O'Grady Katherine L, Price Gavin, Ranjan Priya, Riehl William J, Sadkhin Boris, Seaver Sam, Terry Gwyneth A, Wang Yue, Weisenhorn Pamela, Yang Ziming, Yoo Shinjae, Arkin Adam P

Аннотация

The U.S. Department of Energy's Systems Biology Knowledgebase (KBase; www.kbase.us) is an open, collaborative platform that integrates data, models, and analysis tools to accelerate discovery in microbiology, plant biology, and environmental systems. Recently, KBase expanded as a comprehensive, multi-omics ecosystem. KBase enables representation of scientific samples, long-read sequence analysis, protein structure integration, and scalable modeling of microbial communities across diverse environments. KBase also generates digital notebooks as citable, executable research objects that link data, methods, and interpretation. KBase also supports a global education community focused on training the next generation of scientists to use high-performance computational tools. Together, these advances position KBase as a central hub for open, reproducible systems biology. In turn, this enables us to integrate many of the emerging advances in data federation, semantic interoperability, and agent-assisted analysis, paving the way for KBase to support the next generation of AI-driven discovery tools.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты