Demo Data from EDBT 2026 / reviewers in the wild / expert
Matthew M. Hims
dblp:164/0880
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none
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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › sequence analysis › sequencing data processing
adapter trimming |
0.2 | 1 | 2015 | NxTrim: optimized trimming of Illumina mate pair reads · Bioinform. 2015 |
Bioinformatics and computational biology › sequence analysis
sequencing data processing |
0.2 | 1 | 2015 | NxTrim: optimized trimming of Illumina mate pair reads · Bioinform. 2015 |
Bioinformatics and computational biology › sequence analysis › sequence assembly
genome assembly |
0.1 | 1 | 2015 | NxTrim: optimized trimming of Illumina mate pair reads · Bioinform. 2015 |
Methods — techniques the papers use, named apart from their topics
virtual library construction · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | NxTrim: optimized trimming of Illumina mate pair readsabstractMOTIVATION: Mate pair protocols add to the utility of paired-end sequencing by boosting the genomic distance spanned by each pair of reads, potentially allowing larger repeats to be bridged and resolved. The Illumina Nextera Mate Pair (NMP) protocol uses a circularization-based strategy that leaves behind 38-bp adapter sequences, which must be computationally removed from the data. While 'adapter trimming' is a well-studied area of bioinformatics, existing tools do not fully exploit the particular properties of NMP data and discard more data than is necessary. RESULTS: We present NxTrim, a tool that strives to discard as little sequence as possible from NMP reads. NxTrim makes full use of the sequence on both sides of the adapter site to build 'virtual libraries' of mate pairs, paired-end reads and single-ended reads. For bacterial data, we show that aggregating these datasets allows a single NMP library to yield an assembly whose quality compares favourably to that obtained from regular paired-end reads. AVAILABILITY AND IMPLEMENTATION: The source code is available at https://github.com/sequencing/NxTrim Jared O'Connell, Ole Schulz-Trieglaff, Emma Carlson, Matthew M. Hims, Niall A. Gormley, Anthony J. Cox |
Bioinform. | 4 |