Dave Clements
Overview
Explore the profile of Dave Clements including associated specialties, affiliations and a list of published articles.
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23
Citations
3590
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Recent Articles
1.
Hiltemann S, Rasche H, Gladman S, Hotz H, Lariviere D, Blankenberg D, et al.
PLoS Comput Biol
. 2023 Jan;
19(1):e1010752.
PMID: 36622853
There is an ongoing explosion of scientific datasets being generated, brought on by recent technological advances in many areas of the natural sciences. As a result, the life sciences have...
2.
Ramsey J, McIntosh B, Renfro D, Aleksander S, LaBonte S, Ross C, et al.
PLoS Comput Biol
. 2021 Oct;
17(10):e1009463.
PMID: 34710081
Experimental data about gene functions curated from the primary literature have enormous value for research scientists in understanding biology. Using the Gene Ontology (GO), manual curation by experts has provided...
3.
Serrano-Solano B, Foll M, Gallardo-Alba C, Erxleben A, Rasche H, Hiltemann S, et al.
PLoS Comput Biol
. 2021 May;
17(5):e1008923.
PMID: 33983944
The COVID-19 pandemic is shifting teaching to an online setting all over the world. The Galaxy framework facilitates the online learning process and makes it accessible by providing a library...
4.
Ostrovsky A, Hillman-Jackson J, Bouvier D, Clements D, Afgan E, Blankenberg D, et al.
Curr Protoc
. 2021 Feb;
1(2):e31.
PMID: 33583104
Modern biology continues to become increasingly computational. Datasets are becoming progressively larger, more complex, and more abundant. The computational savviness necessary to analyze these data creates an ongoing obstacle for...
5.
Tekman M, Batut B, Ostrovsky A, Antoniewski C, Clements D, Ramirez F, et al.
Gigascience
. 2020 Oct;
9(10).
PMID: 33079170
Background: The vast ecosystem of single-cell RNA-sequencing tools has until recently been plagued by an excess of diverging analysis strategies, inconsistent file formats, and compatibility issues between different software suites....
6.
Jalili V, Afgan E, Gu Q, Clements D, Blankenberg D, Goecks J, et al.
Nucleic Acids Res
. 2020 Jun;
48(14):8205-8207.
PMID: 32585001
No abstract available.
7.
Jalili V, Afgan E, Gu Q, Clements D, Blankenberg D, Goecks J, et al.
Nucleic Acids Res
. 2020 Jun;
48(W1):W395-W402.
PMID: 32479607
Galaxy (https://galaxyproject.org) is a web-based computational workbench used by tens of thousands of scientists across the world to analyze large biomedical datasets. Since 2005, the Galaxy project has fostered a...
8.
Batut B, Hiltemann S, Bagnacani A, Baker D, Bhardwaj V, Blank C, et al.
Cell Syst
. 2018 Jun;
6(6):752-758.e1.
PMID: 29953864
The primary problem with the explosion of biomedical datasets is not the data, not computational resources, and not the required storage space, but the general lack of trained and skilled...
9.
Afgan E, Baker D, Batut B, van den Beek M, Bouvier D, cech M, et al.
Nucleic Acids Res
. 2018 May;
46(W1):W537-W544.
PMID: 29790989
Galaxy (homepage: https://galaxyproject.org, main public server: https://usegalaxy.org) is a web-based scientific analysis platform used by tens of thousands of scientists across the world to analyze large biomedical datasets such as...
10.
Afgan E, Baker D, van den Beek M, Blankenberg D, Bouvier D, cech M, et al.
Nucleic Acids Res
. 2016 May;
44(W1):W3-W10.
PMID: 27137889
High-throughput data production technologies, particularly 'next-generation' DNA sequencing, have ushered in widespread and disruptive changes to biomedical research. Making sense of the large datasets produced by these technologies requires sophisticated...