Demo Data from EDBT 2026 / reviewers in the wild / expert
Toshiro K. Ohsumi
dblp:119/6500
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2012
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › bioinformatics infrastructure
bioinformatics framework |
0.1 | 1 | 2012 | MolBioLib: a C++11 framework for rapid development and deployment of bioinformatics tasks · Bioinform. 2012 |
Bioinformatics and computational biology › genomics
next-generation sequencing data analysis |
0.1 | 1 | 2012 | MolBioLib: a C++11 framework for rapid development and deployment of bioinformatics tasks · Bioinform. 2012 |
Bioinformatics and computational biology › genome annotation
genomic interval annotation |
0.0 | 1 | 2012 | MolBioLib: a C++11 framework for rapid development and deployment of bioinformatics tasks · Bioinform. 2012 |
Methods — techniques the papers use, named apart from their topics
wavelet algorithm · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | MolBioLib: a C++11 framework for rapid development and deployment of bioinformatics tasksabstractSUMMARY: We developed MolBioLib to address the need for adaptable next-generation sequencing analysis tools. The result is a compact, portable and extensively tested C++11 software framework and set of applications tailored to the demands of next-generation sequencing data and applicable to many other applications. MolBioLib is designed to work with common file formats and data types used both in genomic analysis and general data analysis. A central relational-database-like Table class is a flexible and powerful object to intuitively represent and work with a wide variety of tabular datasets, ranging from alignment data to annotations. MolBioLib has been used to identify causative single-nucleotide polymorphisms in whole genome sequencing, detect balanced chromosomal rearrangements and compute enrichment of messenger RNAs (mRNAs) on microtubules, typically requiring applications of under 200 lines of code. MolBioLib includes programs to perform a wide variety of analysis tasks, such as computing read coverage, annotating genomic intervals and novel peak calling with a wavelet algorithm. Although MolBioLib was designed primarily for bioinformatics purposes, much of its functionality is applicable to a wide range of problems. Complete documentation and an extensive automated test suite are provided. AVAILABILITY: MolBioLib is available for download at: http://sourceforge.net/projects/molbiolib CONTACT: [email protected]. Toshiro K. Ohsumi, Mark L. Borowsky |
Bioinform. | 1 |