Bioschemas training profiles: A set of specifications for standardizing training information to facilitate the discovery of training programs and resources

LJ Castro, PM Palagi, N Beard… - PLoS Computational …, 2023 - journals.plos.org
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 …

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 …

DartWiki: A semantic wiki for ontology-based knowledge integration in the biomedical domain

T Yu, H Chen, J Mi, P Gu, T Wu… - Current …, 2012 - ingentaconnect.com
Semantic Web languages and technologies can be used for the annotation, classification,
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 …

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 …

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 …

[PDF][PDF] CBKH: the cornell biomedical knowledge hub

C Su, Y Hou, W Guo, F Chaudhry, G Ghahramani… - medRxiv, 2021 - scholar.archive.org
The rapidly increasing biomedical knowledge, derived from biological experiments or
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

J Callaghan, CH Xu, J Xin, MA Cano, A Riutta… - …, 2023 - academic.oup.com
Knowledge graphs are an increasingly common data structure for representing biomedical
information. These knowledge graphs can easily represent heterogeneous types of …

The NGS WikiBook: a dynamic collaborative online training effort with long-term sustainability

JW Li, D Bolser, M Manske, FM Giorgi… - Briefings in …, 2013 - academic.oup.com
Next-generation sequencing (NGS) is increasingly being adopted as the backbone of
biomedical research. With the commercialization of various affordable desktop sequencers …

Knowledge modeling and its application in life sciences: a tale of two ontologies

SS Sahoo, C Thomas, A Sheth, WS York… - Proceedings of the 15th …, 2006 - dl.acm.org
High throughput glycoproteomics, similar to genomics and proteomics, involves extremely
large volumes of distributed, heterogeneous data as a basis for identification and …