Brad A Chapman
Overview
Explore the profile of Brad A Chapman including associated specialties, affiliations and a list of published articles.
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Articles
23
Citations
5027
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Recent Articles
1.
Cuddy L, Prokopenko D, Cunningham E, Brimberry R, Song P, Kirchner R, et al.
Sci Transl Med
. 2020 Oct;
12(563).
PMID: 32998969
Recent genome-wide association studies identified the angiotensin-converting enzyme gene () as an Alzheimer's disease (AD) risk locus. However, the pathogenic mechanism by which causes AD is unknown. Using whole-genome sequencing,...
2.
Prokopenko D, Hecker J, Kirchner R, Chapman B, Hoffman O, Mullin K, et al.
Sci Rep
. 2020 Mar;
10(1):5029.
PMID: 32193444
With the advent of whole genome-sequencing (WGS) studies, family-based designs enable sex-specific analysis approaches that can be applied to only affected individuals; tests using family-based designs are attractive because they...
3.
Krusche P, Trigg L, Boutros P, Mason C, De La Vega F, Moore B, et al.
Nat Biotechnol
. 2019 Mar;
37(5):567.
PMID: 30899106
In the version of this article initially published online, two pairs of headings were switched with each other in Table 4: "Recall (PCR free)" was switched with "Recall (with PCR),"...
4.
Krusche P, Trigg L, Boutros P, Mason C, De La Vega F, Moore B, et al.
Nat Biotechnol
. 2019 Mar;
37(5):555-560.
PMID: 30858580
Standardized benchmarking approaches are required to assess the accuracy of variants called from sequence data. Although variant-calling tools and the metrics used to assess their performance continue to improve, important...
5.
Gruning B, Dale R, Sjodin A, Chapman B, Rowe J, Tomkins-Tinch C, et al.
Nat Methods
. 2018 Jul;
15(7):475-476.
PMID: 29967506
No abstract available.
6.
Ahdesmaki M, Chapman B, Cingolani P, Hofmann O, Sidoruk A, Lai Z, et al.
PeerJ
. 2017 Apr;
5:e3166.
PMID: 28392986
Sensitivity of short read DNA-sequencing for gene fusion detection is improving, but is hampered by the significant amount of noise composed of uninteresting or false positive hits in the data....
7.
Moller S, Afgan E, Banck M, Bonnal R, Booth T, Chilton J, et al.
BMC Bioinformatics
. 2014 Dec;
15 Suppl 14:S7.
PMID: 25472764
Background: Computational biology comprises a wide range of technologies and approaches. Multiple technologies can be combined to create more powerful workflows if the individuals contributing the data or providing tools...
8.
Harris N, Cock P, Chapman B, Goecks J, Hotz H, Lapp H
Bioinformatics
. 2014 Jul;
31(2):299-300.
PMID: 25024288
No abstract available.
9.
Paila U, Chapman B, Kirchner R, Quinlan A
PLoS Comput Biol
. 2013 Jul;
9(7):e1003153.
PMID: 23874191
Modern DNA sequencing technologies enable geneticists to rapidly identify genetic variation among many human genomes. However, isolating the minority of variants underlying disease remains an important, yet formidable challenge for...
10.
Lieber D, Calvo S, Shanahan K, Slate N, Liu S, Hershman S, et al.
Neurology
. 2013 Apr;
80(19):1762-70.
PMID: 23596069
Objective: To evaluate the utility of targeted exome sequencing for the molecular diagnosis of mitochondrial disorders, which exhibit marked phenotypic and genetic heterogeneity. Methods: We considered a diverse set of...