Publications Archives - KnetMiner

Our Publications

Selected Citations

Matthew Hutson (2020). Artificial-intelligence tools aim to tame the coronavirus literature. Nature.

Harrington et al. (2020). The Wheat GENIE3 Network Provides Biologically-Relevant Information in Polyploid Wheat. G3: GENES, GENOMES, GENETICS

Adamski et al. (2020). A roadmap for gene functional characterisation in crops with large genomes: Lessons from polyploid wheat. eLife.

Lyra et al. (2020). Gene-based mapping of trehalose biosynthetic pathway genes reveals association with source- and sink-related yield traits in a spring wheat panel. bioRxiv

Rosero et al. (2020). A Dual Strategy of Breeding for Drought Tolerance and Introducing Drought-Tolerant, Underutilized Crops into Production Systems to Enhance Their Resilience to Water Deficiency. Plants

Mukhtar et al. (2020). Analysis and Evaluation of COVID-19 Web Applications for Health Professionals: Challenges and Opportunities. Healthcare.

Alabdullah et al. (2019). A Co-Expression Network in Hexaploid Wheat Reveals Mostly Balanced Expression and Lack of Significant Gene Loss of Homeologous Meiotic Genes Upon Polyploidization. Frontiers in Plant Science.

Lab publications

Hassani-Pak et al. (2021). KnetMiner: a comprehensive approach for supporting evidence-based gene discovery and complex trait analysis across species. Plant Biotechnology Journal

Hearnshaw et al. (2021). Organizing knowledge to enable faster data interpretation in COVID-19 research. F1000Research

Brandizi et al. (2018). Getting the best of Linked Data and Property Graphs: rdf2neo and the KnetMiner Use Case. SWAT4LS Paper Proceedings.

Brandizi et al. (2018). Towards FAIRer Biological Knowledge Networks Using a Hybrid Linked Data and Graph Database Approach. Journal of Integrative Bioinformatics.

Singh et al. (2018). KnetMaps: a BioJS component to visualize biological knowledge networks. F1000 Research.

Hassani-Pak K and Rawlings C. (2017). Knowledge Discovery in Biological Databases for Revealing Candidate Genes Linked to Complex Phenotypes. Journal of Integrative Bioinformatics.

Hassani-Pak et al. (2016). Developing integrated crop knowledge networks to advance candidate gene discovery. Applied & Translational Genomics.

Lysenko et al. (2011). Assessing the functional coherence of modules found in multiple-evidence networks from Arabidopsis. BMC Bioinformatics.

Hassani-Pak et al. (2010). Enhancing Data Integration with Text Analysis to Find Proteins Implicated in Plant Stress Response. Journal of Integrative Bioinformatics.

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