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Hannes Hauswedell

dblp:150/1359 · DBLP profile ↗
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2ranked-venue papers
2as first author
1since 2021 · last 2024
0000-0002-3744-1956ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 2 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Bioinformatics and computational biology · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › sequence analysis › sequence comparison
local sequence alignment
0.922024
Lambda3: homology search for protein, nucleotide, and bisulfite-converted sequences · Bioinform. 2024
Lambda: the local aligner for massive biological data · Bioinform. 2014
Bioinformatics and computational biology
sequence analysis
0.922024
Lambda3: homology search for protein, nucleotide, and bisulfite-converted sequences · Bioinform. 2024
Lambda: the local aligner for massive biological data · Bioinform. 2014
Bioinformatics and computational biology › sequence analysis › read mapping
bisulfite-treated read mapping
0.812024
Lambda3: homology search for protein, nucleotide, and bisulfite-converted sequences · Bioinform. 2024
Bioinformatics and computational biology › sequence analysis
sequence similarity search
0.812024
Lambda3: homology search for protein, nucleotide, and bisulfite-converted sequences · Bioinform. 2024
Bioinformatics and computational biology › metagenomics
metagenomic sequence classification
0.212014
Lambda: the local aligner for massive biological data · Bioinform. 2014

Methods — techniques the papers use, named apart from their topics

seed-and-extend · 0.9local alignment · 0.9
YearPublicationVenuePosition
2024 Lambda3: homology search for protein, nucleotide, and bisulfite-converted sequences
abstract
MOTIVATION: Local alignments of query sequences in large databases represent a core part of metagenomic studies and facilitate homology search. Following the development of NCBI Blast, many applications aimed to provide faster and equally sensitive local alignment frameworks. Most applications focus on protein alignments, while only few also facilitate DNA-based searches. None of the established programs allow searching DNA sequences from bisulfite sequencing experiments commonly used for DNA methylation profiling, for which specific alignment strategies need to be implemented. RESULTS: Here, we introduce Lambda3, a new version of the local alignment application Lambda. Lambda3 is the first solution that enables the search of protein, nucleotide as well as bisulfite-converted nucleotide query sequences. Its protein mode achieves comparable performance to that of the highly optimized protein alignment application Diamond, while the nucleotide mode consistently outperforms established local nucleotide aligners. Combined, Lambda3 presents a universal local alignment framework that enables fast and sensitive homology searches for a wide range of use-cases. AVAILABILITY AND IMPLEMENTATION: Lambda3 is free and open-source software publicly available at https://github.com/seqan/lambda/.
Hannes Hauswedell, Sara Hetzel, Simon Gottlieb, Helene Kretzmer, Alexander Meissner, Knut Reinert
Bioinform.1
2014 Lambda: the local aligner for massive biological data
abstract
MOTIVATION: Next-generation sequencing technologies produce unprecedented amounts of data, leading to completely new research fields. One of these is metagenomics, the study of large-size DNA samples containing a multitude of diverse organisms. A key problem in metagenomics is to functionally and taxonomically classify the sequenced DNA, to which end the well-known BLAST program is usually used. But BLAST has dramatic resource requirements at metagenomic scales of data, imposing a high financial or technical burden on the researcher. Multiple attempts have been made to overcome these limitations and present a viable alternative to BLAST. RESULTS: In this work we present Lambda, our own alternative for BLAST in the context of sequence classification. In our tests, Lambda often outperforms the best tools at reproducing BLAST's results and is the fastest compared with the current state of the art at comparable levels of sensitivity. AVAILABILITY AND IMPLEMENTATION: Lambda was implemented in the SeqAn open-source C++ library for sequence analysis and is publicly available for download at http://www.seqan.de/projects/lambda. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Hannes Hauswedell, Jochen Singer, Knut Reinert
Bioinform.1