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Lars Kraemer

dblp:42/7236 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2012
0000-0002-0586-8357ORCID · corroborated

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

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

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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › transcriptomics
transcriptome comparison
0.112012
The Transcriptome Analysis and Comparison Explorer - T-ACE: a platform-independent, graphical tool to process large RNAseq datasets of non-model organisms · Bioinform. 2012
Bioinformatics and computational biology
transcriptomics
0.112012
The Transcriptome Analysis and Comparison Explorer - T-ACE: a platform-independent, graphical tool to process large RNAseq datasets of non-model organisms · Bioinform. 2012

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

KEGG pathway analysis · 0.1GO term analysis · 0.1BLAST search · 0.1
YearPublicationVenuePosition
2012 The Transcriptome Analysis and Comparison Explorer - T-ACE: a platform-independent, graphical tool to process large RNAseq datasets of non-model organisms
abstract
MOTIVATION: Next generation sequencing (NGS) technologies allow a rapid and cost-effective compilation of large RNA sequence datasets in model and non-model organisms. However, the storage and analysis of transcriptome information from different NGS platforms is still a significant bottleneck, leading to a delay in data dissemination and subsequent biological understanding. Especially database interfaces with transcriptome analysis modules going beyond mere read counts are missing. Here, we present the Transcriptome Analysis and Comparison Explorer (T-ACE), a tool designed for the organization and analysis of large sequence datasets, and especially suited for transcriptome projects of non-model organisms with little or no a priori sequence information. T-ACE offers a TCL-based interface, which accesses a PostgreSQL database via a php-script. Within T-ACE, information belonging to single sequences or contigs, such as annotation or read coverage, is linked to the respective sequence and immediately accessible. Sequences and assigned information can be searched via keyword- or BLAST-search. Additionally, T-ACE provides within and between transcriptome analysis modules on the level of expression, GO terms, KEGG pathways and protein domains. Results are visualized and can be easily exported for external analysis. We developed T-ACE for laboratory environments, which have only a limited amount of bioinformatics support, and for collaborative projects in which different partners work on the same dataset from different locations or platforms (Windows/Linux/MacOS). For laboratories with some experience in bioinformatics and programming, the low complexity of the database structure and open-source code provides a framework that can be customized according to the different needs of the user and transcriptome project.
Eva E. R. Philipp, Lars Kraemer, D. Mountfort, M. Schilhabel, Stefan Schreiber, Philip Rosenstiel
Bioinform.2
2009 STAMP: Extensions to the STADEN sequence analysis package for high throughput interactive microsatellite marker design
abstract
BACKGROUND: Microsatellites (MSs) are DNA markers with high analytical power, which are widely used in population genetics, genetic mapping, and forensic studies. Currently available software solutions for high-throughput MS design (i) have shortcomings in detecting and distinguishing imperfect and perfect MSs, (ii) lack often necessary interactive design steps, and (iii) do not allow for the development of primers for multiplex amplifications. We present a set of new tools implemented as extensions to the STADEN package, which provides the backbone functionality for flexible sequence analysis workflows. The possibility to assemble overlapping reads into unique contigs (provided by the base functionality of the STADEN package) is important to avoid developing redundant markers, a feature missing from most other similar tools. RESULTS: Our extensions to the STADEN package provide the following functionality to facilitate microsatellite (and also minisatellite) marker design: The new modules (i) integrate the state-of-the-art tandem repeat detection and analysis software PHOBOS into workflows, (ii) provide two separate repeat detection steps - with different search criteria - one for masking repetitive regions during assembly of sequencing reads and the other for designing repeat-flanking primers for MS candidate loci, (iii) incorporate the widely used primer design program PRIMER3 into STADEN workflows, enabling the interactive design and visualization of flanking primers for microsatellites, and (iv) provide the functionality to find optimal locus- and primer pair combinations for multiplex primer design. Furthermore, our extensions include a module for storing analysis results in an SQLite database, providing a transparent solution for data access from within as well as from outside of the STADEN Package. CONCLUSION: The STADEN package is enhanced by our modules into a highly flexible, high-throughput, interactive tool for conventional and multiplex microsatellite marker design. It gives the user detailed control over the workflow, enabling flexible combinations of manual and automated analysis steps. The software is available under the OpenBSD License 12. The high efficiency of our automated marker design workflow has been confirmed in three microsatellite development projects.
Lars Kraemer, Bánk Beszteri, Steffi Gäbler-Schwarz, Christoph Held, Florian Leese, Christoph Mayer 0004, Kevin Pöhlmann, Stephan Frickenhaus
BMC Bioinform.1