Bioschemas training profiles: A set of specifications for standardizing training information to facilitate the discovery of training programs and resources
Stand-alone life science training events and e-learning solutions are among the most sought-
after modes of training because they address both point-of-need learning and the limited …
after modes of training because they address both point-of-need learning and the limited …
A graph-based approach for integrating biological heterogeneous data based on connecting ontology
S Zhang, Y Tang, J Yan, L Li, T Li, J Li… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
Linked Open Data (LOD) is an ongoing effort in the Semantic Web community to build a
massive public knowledge graph. The goal is to extend the Web by publishing various open …
massive public knowledge graph. The goal is to extend the Web by publishing various open …
DartWiki: A semantic wiki for ontology-based knowledge integration in the biomedical domain
Semantic Web languages and technologies can be used for the annotation, classification,
and organization of knowledge assets and digital artifacts based on biomedical ontologies …
and organization of knowledge assets and digital artifacts based on biomedical ontologies …
Interdisciplinary and transferable concepts in bioinformatics education: observations and approaches from a UK MSc course
IG Johnston, M Slater, JB Cazier - Frontiers in Education, 2022 - frontiersin.org
Bioinformatics is a highly interdisciplinary subject, with substantial and growing influence in
health, environmental science and society, and is utilised by scientists from many diverse …
health, environmental science and society, and is utilised by scientists from many diverse …
A quick guide to genomics and bioinformatics training for clinical and public audiences
MD Brazas, F Lewitter, MV Schneider… - PLoS computational …, 2014 - journals.plos.org
Traditionally, bioinformatics tools and training programs have focused on life science
audiences. Though heterogeneous, their needs are at least fairly well understood. Driven by …
audiences. Though heterogeneous, their needs are at least fairly well understood. Driven by …
Bioinformatics: Converting data to knowledge
J Esnayra, R Pool - 2000 - books.google.com
The goal of this workshop was to bring together bioinformatics stake holders from
government, academe, and industry for a day of presentations and dialogue. Fifteen experts …
government, academe, and industry for a day of presentations and dialogue. Fifteen experts …
[PDF][PDF] CBKH: the cornell biomedical knowledge hub
The rapidly increasing biomedical knowledge, derived from biological experiments or
gained from clinical practice, has become the important treasure in the biomedical research …
gained from clinical practice, has become the important treasure in the biomedical research …
BioThings Explorer: a query engine for a federated knowledge graph of biomedical APIs
Knowledge graphs are an increasingly common data structure for representing biomedical
information. These knowledge graphs can easily represent heterogeneous types of …
information. These knowledge graphs can easily represent heterogeneous types of …
The NGS WikiBook: a dynamic collaborative online training effort with long-term sustainability
Next-generation sequencing (NGS) is increasingly being adopted as the backbone of
biomedical research. With the commercialization of various affordable desktop sequencers …
biomedical research. With the commercialization of various affordable desktop sequencers …
Knowledge modeling and its application in life sciences: a tale of two ontologies
High throughput glycoproteomics, similar to genomics and proteomics, involves extremely
large volumes of distributed, heterogeneous data as a basis for identification and …
large volumes of distributed, heterogeneous data as a basis for identification and …