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zenodraft/action updated the file CITATION.cff with the prereserved doi
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zenodraft/action committed Jul 11, 2024
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15 changes: 12 additions & 3 deletions CITATION.cff
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cff-version: 1.2.0
abstract: >-
scribl (Semantic Capture of Relationships in Biological Literature) is a Python software pipeline and API that transforms a Zotero literature database with entries annotated with tags in the **scribl** language to create a graph data structure, suitable for import into a graph database platform, such as Neo4j or Python's NetworkX. The scribl language was designed for the curation from scientific articles, to capture the relationships between the various biological agents and the processes that they describe in a connected network.
scribl (Semantic Capture of Relationships in Biological Literature) is a
Python software pipeline and API that transforms a Zotero literature database
with entries annotated with tags in the **scribl** language to create a graph
data structure, suitable for import into a graph database platform, such as
Neo4j or Python's NetworkX. The scribl language was designed for the curation
from scientific articles, to capture the relationships between the various
biological agents and the processes that they describe in a connected network.
authors:
- family-names: Webster
given-names: Gordon
Expand All @@ -10,9 +16,11 @@ authors:
given-names: Alexander K.
orcid: https://orcid.org/0000-0002-0002-9263
affiliation: >-
Amber Biology LLC and Institute for Globally Distributed Open Research and Education (IGDORE)
Amber Biology LLC and Institute for Globally Distributed Open Research and
Education (IGDORE)
title: >-
scribl: A system for the semantic capture of relationships in biological literature
scribl: A system for the semantic capture of relationships in biological
literature
url: https://amberbiology.com
repository-code: https://github.com/amberbiology/scribl
type: software
Expand All @@ -24,3 +32,4 @@ keywords:
- computational biology
license: AGPL-3.0-or-later
version: v0.8.0
doi: 10.5281/zenodo.12728363

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