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Toshiro K. Ohsumi

dblp:119/6500 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › bioinformatics infrastructure
bioinformatics framework
0.112012
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
0.112012
MolBioLib: a C++11 framework for rapid development and deployment of bioinformatics tasks · Bioinform. 2012
Bioinformatics and computational biology › genome annotation
genomic interval annotation
0.012012
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
YearPublicationVenuePosition
2012 MolBioLib: a C++11 framework for rapid development and deployment of bioinformatics tasks
abstract
SUMMARY: 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