David Osumi-Sutherland
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Explore the profile of David Osumi-Sutherland including associated specialties, affiliations and a list of published articles.
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Recent Articles
31.
Aevermann B, Novotny M, Bakken T, Miller J, Diehl A, Osumi-Sutherland D, et al.
Hum Mol Genet
. 2018 Mar;
27(R1):R40-R47.
PMID: 29590361
Cells are fundamental function units of multicellular organisms, with different cell types playing distinct physiological roles in the body. The recent advent of single-cell transcriptional profiling using RNA sequencing is...
32.
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...
33.
Osumi-Sutherland D
BMC Bioinformatics
. 2018 Jan;
18(Suppl 17):558.
PMID: 29322914
Background: Data-driven cell classification is becoming common and is now being implemented on a massive scale by projects such as the Human Cell Atlas. The scale of these efforts poses...
34.
Osumi-Sutherland D, Courtot M, Balhoff J, Mungall C
J Biomed Semantics
. 2017 Jun;
8(1):18.
PMID: 28583177
Background: Bio-ontologies typically require multiple axes of classification to support the needs of their users. Development of such ontologies can only be made scalable and sustainable by the use of...
35.
Hulo C, Masson P, Toussaint A, Osumi-Sutherland D, de Castro E, Auchincloss A, et al.
Viruses
. 2017 May;
9(6).
PMID: 28545254
Bacterial viruses, also called bacteriophages, display a great genetic diversity and utilize unique processes for infecting and reproducing within a host cell. All these processes were investigated and indexed in...
36.
Diehl A, Meehan T, Bradford Y, Brush M, Dahdul W, Dougall D, et al.
J Biomed Semantics
. 2016 Jul;
7(1):44.
PMID: 27377652
Background: The Cell Ontology (CL) is an OBO Foundry candidate ontology covering the domain of canonical, natural biological cell types. Since its inception in 2005, the CL has undergone multiple...
37.
Adebayo S, McLeod K, Tudose I, Osumi-Sutherland D, Burdett T, Baldock R, et al.
J Biomed Semantics
. 2016 Jun;
7:35.
PMID: 27267125
Background: High throughput imaging is now available to many groups and it is possible to generate a large quantity of high quality images quickly. Managing this data, consistently annotating it,...
38.
Huntley R, Sitnikov D, Orlic-Milacic M, Balakrishnan R, DEustachio P, Gillespie M, et al.
RNA
. 2016 Feb;
22(5):667-76.
PMID: 26917558
MicroRNA regulation of developmental and cellular processes is a relatively new field of study, and the available research data have not been organized to enable its inclusion in pathway and...
39.
Dietze H, Berardini T, Foulger R, Hill D, Lomax J, Osumi-Sutherland D, et al.
J Biomed Semantics
. 2015 May;
5:48.
PMID: 25937883
Background: Biological ontologies are continually growing and improving from requests for new classes (terms) by biocurators. These ontology requests can frequently create bottlenecks in the biocuration process, as ontology developers...
40.
Deans A, Lewis S, Huala E, Anzaldo S, Ashburner M, Balhoff J, et al.
PLoS Biol
. 2015 Jan;
13(1):e1002033.
PMID: 25562316
Despite a large and multifaceted effort to understand the vast landscape of phenotypic data, their current form inhibits productive data analysis. The lack of a community-wide, consensus-based, human- and machine-interpretable...