Demo Data from EDBT 2026 / reviewers in the wild / expert
Rainer Hedrich
dblp:152/7531
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
0000-0003-3224-1362ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › sequence analysis › sequencing error correction
long-read error correction |
0.2 | 1 | 2014 | proovread: large-scale high-accuracy PacBio correction through iterative short read consensus · Bioinform. 2014 |
Bioinformatics and computational biology
sequence analysis |
0.2 | 1 | 2014 | proovread: large-scale high-accuracy PacBio correction through iterative short read consensus · Bioinform. 2014 |
Methods — techniques the papers use, named apart from their topics
short read consensus · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | proovread: large-scale high-accuracy PacBio correction through iterative short read consensusabstractMOTIVATION: Today, the base code of DNA is mostly determined through sequencing by synthesis as provided by the Illumina sequencers. Although highly accurate, resulting reads are short, making their analyses challenging. Recently, a new technology, single molecule real-time (SMRT) sequencing, was developed that could address these challenges, as it generates reads of several thousand bases. But, their broad application has been hampered by a high error rate. Therefore, hybrid approaches that use high-quality short reads to correct erroneous SMRT long reads have been developed. Still, current implementations have great demands on hardware, work only in well-defined computing infrastructures and reject a substantial amount of reads. This limits their usability considerably, especially in the case of large sequencing projects. RESULTS: Here we present proovread, a hybrid correction pipeline for SMRT reads, which can be flexibly adapted on existing hardware and infrastructure from a laptop to a high-performance computing cluster. On genomic and transcriptomic test cases covering Escherichia coli, Arabidopsis thaliana and human, proovread achieved accuracies up to 99.9% and outperformed the existing hybrid correction programs. Furthermore, proovread-corrected sequences were longer and the throughput was higher. Thus, proovread combines the most accurate correction results with an excellent adaptability to the available hardware. It will therefore increase the applicability and value of SMRT sequencing. AVAILABILITY AND IMPLEMENTATION: proovread is available at the following URL: http://proovread.bioapps.biozentrum.uni-wuerzburg.de. Thomas Hackl, Rainer Hedrich, Jörg Schultz, Frank Förster |
Bioinform. | 2 |