Biomedical subjects

Stefan Kurtz

Publications and source records attributed to Stefan Kurtz.

7 recordsLinked to original sources

PubMed2004

e2g: an interactive web-based server for efficiently mapping large EST and cDNA sets to genomic sequences.

e2g is a web-based server which efficiently maps large expressed sequence tag (EST) and cDNA datasets to genomic DNA. It significantly extends the volume of data that can be mapped in reasonable time, and makes this improved efficiency available as a web service. Our server hosts large collections of EST sequences (e.g. 4.1 million mouse ESTs of 1.87 Gb) in precomputed indexed data structures for efficient sequence comparison. The user can upload a genomic DNA sequence of interest and rapidly compare this to the complete collection of ESTs on the server. This delivers a mapping of the ESTs on the genomic DNA. The e2g web interface provides a graphical overview of the mapping. Alignments of the mapped EST regions with parts of the genomic sequence are visualized. Zooming functions allow the user to interactively explore the results. Mapped sequences can be downloaded for further analysis. e2g is available on the Bielefeld University Bioinformatics Server at http://bibiserv.techfak.uni-bielefeld.de/e2g/.

Base Sequence↗

PubMed2004

GenAlyzer: interactive visualization of sequence similarities between entire genomes.

SUMMARY: Genalyzer is a software tool designed for the interactive visualization of sequence matches between DNA or protein sequences. It provides visualizations on different levels of granularity, from complete overviews via zoomed regions to alignments of particular matching substrings. Genalyzer can efficiently handle very large datasets, allowing to display tens of thousands of matches between sequences of tens of millions of bases. AVAILABILITY: Genalyzer is available free of charge for non-commercial research institutions. For more details, see http://www.genalyzer.de

Algorithms↗

PubMed2004

Versatile and open software for comparing large genomes.

The newest version of MUMmer easily handles comparisons of large eukaryotic genomes at varying evolutionary distances, as demonstrated by applications to multiple genomes. Two new graphical viewing tools provide alternative ways to analyze genome alignments. The new system is the first version of MUMmer to be released as open-source software. This allows other developers to contribute to the code base and freely redistribute the code. The MUMmer sources are available at http://www.tigr.org/software/mummer.

Animals↗

PubMed2003

RNA-related tools on the Bielefeld Bioinformatics Server.

We present four tools for the analysis of RNA secondary structure. They provide animated visualization of multiple structures, prediction of potential conformational switching, structure comparison (including local structure alignment) and prediction of structures potentially containing a certain kind of pseudoknots. All are available via the Bielefeld University Bioinformatics Server (http://bibiserv.techfak.uni-bielefeld.de).

Base Sequence↗

PubMed2003

An applications-focused review of comparative genomics tools: capabilities, limitations and future challenges.

A team at the Lawrence Livermore National Laboratory (LLNL) was given the task of using computational tools to speed up the development of DNA diagnostics for pathogen detection. This work will be described in another paper in this issue (see pages 133-149). To achieve this goal it was necessary to understand the merits and limitations of the various available comparative genomics tools. A review of some recent tools for multisequence/genome alignment and substring comparison is presented, within the general framework of applicability to a large-scale application. We note that genome alignments are important for many things, only one of which is pathogen detection. Understanding gene function, gene regulation, gene networks, phylogenetic studies and other aspects of evolution all depend on accurate nucleic acid and protein sequence alignment. Selecting appropriate tools can make a large difference in the quality of results obtained and the effort required.

Algorithms↗

PubMed2002

Comparative genomics of Arabidopsis and maize: prospects and limitations.

The completed Arabidopsis genome seems to be of limited value as a model for maize genomics. In addition to the expansion of repetitive sequences in maize and the lack of genomic micro-colinearity, maize-specific or highly-diverged proteins contribute to a predicted maize proteome of about 50,000 proteins, twice the size of that of Arabidopsis.

Arabidopsis↗

PubMed2002

Efficient multiple genome alignment.

MOTIVATION: To allow a direct comparison of the genomic DNA sequences of sufficiently similar organisms, there is an urgent need for software tools that can align more than two genomic sequences. RESULTS: We developed new algorithms and a software tool 'Multiple Genome Aligner' (MGA for short) that efficiently computes multiple genome alignments of large, closely related DNA sequences. For example, it can align 85% percent of the complete genomes of six human adenoviruses (average length 35305 bp.) in 159 seconds. An alignment of 74% of the complete genomes of three of strains of E. coli (lengths: 5528445; 5498450; 4639221 approximately bp.) is produced in 30 minutes.

Algorithms↗