Felix Kallenborn
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Explore the profile of Felix Kallenborn including associated specialties, affiliations and a list of published articles.
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5
Citations
10
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Recent Articles
1.
Schmidt B, Kallenborn F, Chacon A, Hundt C
BMC Bioinformatics
. 2024 Nov;
25(1):342.
PMID: 39488701
Background: The maximal sensitivity for local pairwise alignment makes the Smith-Waterman algorithm a popular choice for protein sequence database search. However, its quadratic time complexity makes it compute-intensive. Unfortunately, current...
2.
Kallenborn F, Schmidt B
BMC Bioinformatics
. 2024 May;
25(1):186.
PMID: 38730374
Background: Commonly used next generation sequencing machines typically produce large amounts of short reads of a few hundred base-pairs in length. However, many downstream applications would generally benefit from longer...
3.
Yan L, Yin Z, Zhang H, Zhao Z, Wang M, Muller A, et al.
Methods
. 2023 Jun;
216:39-50.
PMID: 37330158
Assessing the quality of sequencing data plays a crucial role in downstream data analysis. However, existing tools often achieve sub-optimal efficiency, especially when dealing with compressed files or performing complicated...
4.
Kallenborn F, Cascitti J, Schmidt B
BMC Bioinformatics
. 2022 Jun;
23(1):227.
PMID: 35698033
Background: Next-generation sequencing pipelines often perform error correction as a preprocessing step to obtain cleaned input data. State-of-the-art error correction programs are able to reliably detect and correct the majority...
5.
Kallenborn F, Hildebrandt A, Schmidt B
Bioinformatics
. 2020 Aug;
37(7):889-895.
PMID: 32818262
Motivation: Error correction is a fundamental pre-processing step in many Next-Generation Sequencing (NGS) pipelines, in particular for de novo genome assembly. However, existing error correction methods either suffer from high...