James Dalgleish
Overview
Explore the profile of James Dalgleish including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
7
Citations
23
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Ma S, Wang C, Khan A, Liu L, Dalgleish J, Kiryluk K, et al.
Genome Biol
. 2023 Feb;
24(1):24.
PMID: 36782330
We propose BIGKnock (BIobank-scale Gene-based association test via Knockoffs), a computationally efficient gene-based testing approach for biobank-scale data, that leverages long-range chromatin interaction data, and performs conditional genome-wide testing via...
2.
Davies H, Jennison T, Dalgleish J, Taher S, Chadwick C, Blundell C, et al.
Foot Ankle Int
. 2023 Feb;
44(2):168.
PMID: 36756983
No abstract available.
3.
Jennison T, Dalgleish J, Sharpe I, Davies M, Goldberg A
Foot Ankle Orthop
. 2023 Feb;
8(1):24730114221151068.
PMID: 36741680
Background: Total talus replacements are a surgical treatment for talar avascular necrosis (AVN) replacing the entire talus. The potential for total talus replacements has increased with the advent of patient-specific...
4.
Jennison T, Dalgleish J, Taher S, Chadwick C, Blundell C, Davies M, et al.
Foot Ankle Int
. 2022 Jul;
43(10):1295-1299.
PMID: 35869646
Background: Subtalar arthrodesis is the surgical procedure commonly performed to treat subtalar arthritis. Subtalar arthrodesis may have a higher nonunion rate if there is a preexisting adjacent joint arthrodesis. The...
5.
Ma S, Dalgleish J, Lee J, Wang C, Liu L, Gill R, et al.
Proc Natl Acad Sci U S A
. 2021 Nov;
118(47).
PMID: 34799441
Gene-based tests are valuable techniques for identifying genetic factors in complex traits. Here, we propose a gene-based testing framework that incorporates data on long-range chromatin interactions, several recent technical advances...
6.
Taylor R, Miller R, Miller R, Porter M, Dalgleish J, Prince J
Bioinformatics
. 2014 Nov;
31(5):621-5.
PMID: 25359887
Motivation: Modern lipidomics is largely dependent upon structural ontologies because of the great diversity exhibited in the lipidome, but no automated lipid classification exists to facilitate this partitioning. The size...
7.
Noyce A, Smith R, Dalgleish J, Taylor R, Erb K, Okuda N, et al.
J Proteome Res
. 2013 Oct;
12(12):5742-9.
PMID: 24090032
The most important step in any quantitative proteomic pipeline is feature detection (aka peak picking). However, generating quality hand-annotated data sets to validate the algorithms, especially for lower abundance peaks,...