Bertil Schmidt
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Explore the profile of Bertil Schmidt including associated specialties, affiliations and a list of published articles.
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74
Citations
957
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Recent Articles
21.
Kobus R, Abuin J, Muller A, Hellmann S, Pichel J, Pena T, et al.
BMC Bioinformatics
. 2020 Mar;
21(1):102.
PMID: 32164527
Background: All-Food-Sequencing (AFS) is an untargeted metagenomic sequencing method that allows for the detection and quantification of food ingredients including animals, plants, and microbiota. While this approach avoids some of...
22.
Schmidt L, Werner S, Kemmer T, Niebler S, Kristen M, Ayadi L, et al.
Front Genet
. 2019 Oct;
10:876.
PMID: 31608115
Modification mapping from cDNA data has become a tremendously important approach in epitranscriptomics. So-called reverse transcription signatures in cDNA contain information on the position and nature of their causative RNA...
23.
Winther H, Gutberlet M, Hundt C, Kaireit T, Alsady T, Schmidt B, et al.
J Magn Reson Imaging
. 2019 Jul;
51(2):571-579.
PMID: 31276264
Background: Chronic obstructive pulmonary disease (COPD) is associated with high morbidity and mortality. Identification of imaging biomarkers for phenotyping is necessary for future treatment and therapy monitoring. However, translation of...
24.
Jiang P, Luo J, Wang Y, Deng P, Schmidt B, Tang X, et al.
Bioinformatics
. 2019 May;
35(23):4871-4878.
PMID: 31038666
Motivation: K-mers along with their frequency have served as an elementary building block for error correction, repeat detection, multiple sequence alignment, genome assembly, etc., attracting intensive studies in k-mer counting....
25.
Zhang J, Lan H, Chan Y, Shang Y, Schmidt B, Liu W
Bioinformatics
. 2018 Nov;
35(13):2306-2308.
PMID: 30445566
Motivation: Modern bioinformatics tools for analyzing large-scale NGS datasets often need to include fast implementations of core sequence alignment algorithms in order to achieve reasonable execution times. We address this...
26.
Zhang H, Chan Y, Fan K, Schmidt B, Liu W
BMC Bioinformatics
. 2018 Mar;
19(1):92.
PMID: 29523083
Background: Various indexing techniques have been applied by next generation sequencing read mapping tools. The choice of a particular data structure is a trade-off between memory consumption, mapping throughput, and...
27.
Winther H, Hundt C, Schmidt B, Czerner C, Bauersachs J, Wacker F, et al.
JACC Cardiovasc Imaging
. 2018 Jan;
11(7):1036-1038.
PMID: 29361481
No abstract available.
28.
Muller A, Hundt C, Hildebrandt A, Hankeln T, Schmidt B
Bioinformatics
. 2017 Sep;
33(23):3740-3748.
PMID: 28961782
Motivation: Metagenomic shotgun sequencing studies are becoming increasingly popular with prominent examples including the sequencing of human microbiomes and diverse environments. A fundamental computational problem in this context is read...
29.
Schroder J, Wirawan A, Schmidt B, Papenfuss A
BMC Bioinformatics
. 2017 Jul;
18(1):346.
PMID: 28728542
Background: A precise understanding of structural variants (SVs) in DNA is important in the study of cancer and population diversity. Many methods have been designed to identify SVs from DNA...
30.
Liu Y, Ripp F, Koeppel R, Schmidt H, Hellmann S, Weber M, et al.
Bioinformatics
. 2017 Apr;
33(9):1396-1398.
PMID: 28453677
Summary: DNA-based methods to detect and quantify taxon composition in biological materials are often based on species-specific polymerase chain reaction, limited to detecting species targeted by the assay. Next-generation sequencing...