Johan Nystrom-Persson
Overview
Explore the profile of Johan Nystrom-Persson including associated specialties, affiliations and a list of published articles.
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7
Citations
76
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Recent Articles
1.
Nystrom-Persson J, Keeble-Gagnere G, Zawad N
Bioinformatics
. 2021 May;
37(9):1338.
PMID: 33970231
No abstract available.
2.
Nystrom-Persson J, Keeble-Gagnere G, Zawad N
Bioinformatics
. 2021 Mar;
37(17):2563-2569.
PMID: 33693556
Motivation: The processing of k-mers (subsequences of length k) is at the foundation of many sequence processing algorithms in bioinformatics, including k-mer counting for genome size estimation, genome assembly, and...
3.
Keeble-Gagnere G, Rigault P, Tibbits J, Pasam R, Hayden M, Forrest K, et al.
Genome Biol
. 2018 Aug;
19(1):112.
PMID: 30115128
Background: Numerous scaffold-level sequences for wheat are now being released and, in this context, we report on a strategy for improving the overall assembly to a level comparable to that...
4.
Nystrom-Persson J, Natsume-Kitatani Y, Igarashi Y, Satoh D, Mizuguchi K
Sci Rep
. 2017 May;
7(1):1390.
PMID: 28469246
Toxygates was originally released as a user-friendly interface to enhance the accessibility of the large-scale toxicogenomics database, Open TG-GATEs, generated by the Japanese Toxicogenomics Project. Since the original release, significant...
5.
Chen Y, Tripathi L, Dessailly B, Nystrom-Persson J, Ahmad S, Mizuguchi K
PLoS One
. 2014 Jun;
9(6):e99030.
PMID: 24918583
Prioritising candidate genes for further experimental characterisation is an essential, yet challenging task in biomedical research. One way of achieving this goal is to identify specific biological themes that are...
6.
Katayama T, Wilkinson M, Aoki-Kinoshita K, Kawashima S, Yamamoto Y, Yamaguchi A, et al.
J Biomed Semantics
. 2014 Feb;
5(1):5.
PMID: 24495517
The application of semantic technologies to the integration of biological data and the interoperability of bioinformatics analysis and visualization tools has been the common theme of a series of annual...
7.
Nystrom-Persson J, Igarashi Y, Ito M, Morita M, Nakatsu N, Yamada H, et al.
Bioinformatics
. 2013 Sep;
29(23):3080-6.
PMID: 24048354
Motivation: In early stage drug development, it is desirable to assess the toxicity of compounds as quickly as possible. Biomarker genes can help predict whether a candidate drug will adversely...