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Niels Jahn

dblp:21/5187 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2010
0000-0002-5753-2994ORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 2

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
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › sequence analysis › sequence visualization
dotplot visualization
0.112006
tuple_plot: Fast pairwise nucleotide sequence comparison with noise suppression · Bioinform. 2006
Bioinformatics and computational biology › sequence analysis
sequence comparison
0.112006
tuple_plot: Fast pairwise nucleotide sequence comparison with noise suppression · Bioinform. 2006
Bioinformatics and computational biology › sequence analysis
genomic sequence analysis
0.012006
tuple_plot: Fast pairwise nucleotide sequence comparison with noise suppression · Bioinform. 2006

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

dictionary-based expectancy model · 0.1
YearPublicationVenuePosition
2010 TassDB2 - A comprehensive database of subtle alternative splicing events
abstract
BACKGROUND: Subtle alternative splicing events involving tandem splice sites separated by a short (2-12 nucleotides) distance are frequent and evolutionarily widespread in eukaryotes, and a major contributor to the complexity of transcriptomes and proteomes. However, these events have been either omitted altogether in databases on alternative splicing, or only the cases of experimentally confirmed alternative splicing have been reported. Thus, a database which covers all confirmed cases of subtle alternative splicing as well as the numerous putative tandem splice sites (which might be confirmed once more transcript data becomes available), and allows to search for tandem splice sites with specific features and download the results, is a valuable resource for targeted experimental studies and large-scale bioinformatics analyses of tandem splice sites. Towards this goal we recently set up TassDB (Tandem Splice Site DataBase, version 1), which stores data about alternative splicing events at tandem splice sites separated by 3 nt in eight species. DESCRIPTION: We have substantially revised and extended TassDB. The currently available version 2 contains extensive information about tandem splice sites separated by 2-12 nt for the human and mouse transcriptomes including data on the conservation of the tandem motifs in five vertebrates. TassDB2 offers a user-friendly interface to search for specific genes or for genes containing tandem splice sites with specific features as well as the possibility to download result datasets. For example, users can search for cases of alternative splicing where the proportion of EST/mRNA evidence supporting the minor isoform exceeds a specific threshold, or where the difference in splice site scores is specified by the user. The predicted impact of each event on the protein is also reported, along with information about being a putative target for the nonsense-mediated decay (NMD) pathway. Links are provided to the UCSC genome browser and other external resources. CONCLUSION: TassDB2, available via http://www.tassdb.info, provides comprehensive resources for researchers interested in both targeted experimental studies and large-scale bioinformatics analyses of short distance tandem splice sites.
Rileen Sinha, Thorsten Lenser, Niels Jahn, Ulrike Gausmann, Swetlana Friedel, Karol Szafranski, Klaus Huse, Philip Rosenstiel, Jochen Hampe, Stefan Schuster, Michael Hiller, Rolf Backofen, Matthias Platzer
BMC Bioinform.3
2006 tuple_plot: Fast pairwise nucleotide sequence comparison with noise suppression
abstract
SUMMARY: The program tuple_plot identifies and visualizes local similarities between two genomic sequences, typically 100 kb or longer, by applying the well-known dotplot principle. A dictionary of sequence words built from the input sequences serves to construct a task-specific expectancy model that is used to attribute significance values to pairwise word hits. The dictionary-based approach allows fast computation, the computation time scaling to O(N log N), depending on the size of the input sequences. The proposed scoring scheme appreciably increases the signal-to-noise ratio and may help to improve other word-based sequence comparison approaches. AVAILABILITY: tuple_plot is available at http://genome.fli-leibniz.de/software.html and may be used under GNU public license.
Karol Szafranski, Niels Jahn, Matthias Platzer
Bioinform.2