KBase: The United States Department of Energy Systems Biology Knowledgebase
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.
Abstract
The U.S. Department of Energy Systems Biology Knowledgebase (KBase, http://kbase.us) is an open-source software and data platform designed to tackle the grand challenge of systems biology—predicting and designing biological function at scales ranging from the biomolecular to the ecological. KBase is available for anyone to use, and enables researchers to collaboratively generate, test, compare, and share hypotheses about biological functions; perform large analyses on scalable computing infrastructure; and combine experimental evidence and conclusions to model plant and microbial physiology and community dynamics. The KBase platform has extensible analytical capabilities that currently include (meta)genome assembly, annotation, comparative genomics, transcriptomics, and metabolic modeling; a web-based user interface that supports building, sharing, and publishing reproducible and well-annotated analyses with integrated data; and a software development kit that enables the community to add functionality to the system.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
The record
- Venue
- Nature Biotechnology
- Topic
- Health, Environment, Cognitive Aging
- Field
- Environmental Science
- Canadian institutions
- —
- Funders
- Brookhaven National LaboratoryOffice of ScienceCarl R. Woese Institute for Genomic BiologyStony Brook UniversityYork UniversityNew York University ShanghaiUniversity of Illinois at Urbana-ChampaignMemorial Sloan-Kettering Cancer CenterBiological and Environmental ResearchJohns Hopkins UniversityU.S. Department of Energy
- Keywords
- Computational biologyBiology
- Has abstract in OpenAlex
- yes