» Authors » Rachael P Huntley

Rachael P Huntley

Explore the profile of Rachael P Huntley including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 26
Citations 1584
Followers 0
Related Specialties
Top 10 Co-Authors
Published In
Affiliations
Soon will be listed here.
Recent Articles
1.
Ahmed S, Deng A, Huntley R, Campbell N, Lovering R
Front Genet . 2023 Nov; 14:1251902. PMID: 37915827
The normal development of all heart valves requires highly coordinated signaling pathways and downstream mediators. While genomic variants can be responsible for congenital valve disease, environmental factors can also play...
2.
Kramarz B, Huntley R, Rodriguez-Lopez M, Roncaglia P, Saverimuttu S, Parkinson H, et al.
J Alzheimers Dis . 2020 May; 75(4):1417-1435. PMID: 32417785
Background: Gene Ontology (GO) is a major bioinformatic resource used for analysis of large biomedical datasets, for example from genome-wide association studies, applied universally across biological fields, including Alzheimer's disease...
3.
Attrill H, Gaudet P, Huntley R, Lovering R, Engel S, Poux S, et al.
Database (Oxford) . 2019 Feb; 2019. PMID: 30715275
High-throughput studies constitute an essential and valued source of information for researchers. However, high-throughput experimental workflows are often complex, with multiple data sets that may contain large numbers of false...
4.
Franceschini N, Giambartolomei C, de Vries P, Finan C, Bis J, Huntley R, et al.
Nat Commun . 2018 Dec; 9(1):5141. PMID: 30510157
Carotid artery intima media thickness (cIMT) and carotid plaque are measures of subclinical atherosclerosis associated with ischemic stroke and coronary heart disease (CHD). Here, we undertake meta-analyses of genome-wide association...
5.
Kramarz B, Roncaglia P, Meldal B, Huntley R, Martin M, Orchard S, et al.
Genes (Basel) . 2018 Dec; 9(12). PMID: 30501127
The analysis and interpretation of high-throughput datasets relies on access to high-quality bioinformatics resources, as well as processing pipelines and analysis tools. Gene Ontology (GO, geneontology.org) is a major resource...
6.
Huntley R, Kramarz B, Sawford T, Umrao Z, Kalea A, Acquaah V, et al.
RNA . 2018 Jun; 24(8):1005-1017. PMID: 29871895
MicroRNA regulation of key biological and developmental pathways is a rapidly expanding area of research, accompanied by vast amounts of experimental data. This data, however, is not widely available in...
7.
Lovering R, Roncaglia P, Howe D, Laulederkind S, Khodiyar V, Berardini T, et al.
Circ Genom Precis Med . 2018 Feb; 11(2):e001813. PMID: 29440116
Background: A systems biology approach to cardiac physiology requires a comprehensive representation of how coordinated processes operate in the heart, as well as the ability to interpret relevant transcriptomic and...
8.
Roncaglia P, van Dam T, Christie K, Nacheva L, Toedt G, Huynen M, et al.
Cilia . 2017 Nov; 6:10. PMID: 29177046
Background: Recent research into ciliary structure and function provides important insights into inherited diseases termed ciliopathies and other cilia-related disorders. This wealth of knowledge needs to be translated into a...
9.
Sunderland N, Skroblin P, Barwari T, Huntley R, Lu R, Joshi A, et al.
Circ Res . 2017 Jan; 120(2):418-435. PMID: 28104774
Over the last few years, several groups have evaluated the potential of microRNAs (miRNAs) as biomarkers for cardiometabolic disease. In this review, we discuss the emerging literature on the role...
10.
Huntley R, Lovering R
Methods Mol Biol . 2016 Nov; 1446:233-243. PMID: 27812947
The specificity of knowledge that Gene Ontology (GO) annotations currently can represent is still restricted by the legacy format of the GO annotation file, a format intentionally designed for simplicity...