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Markus Hiltunen

dblp:301/4963 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2021
0000-0002-8880-872XORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021

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 › sequence analysis › sequence assembly
genome assembly
0.512021
ARBitR: an overlap-aware genome assembly scaffolder for linked reads · Bioinform. 2021
Bioinformatics and computational biology › sequence analysis › sequence assembly › genome assembly
scaffolding
0.512021
ARBitR: an overlap-aware genome assembly scaffolder for linked reads · Bioinform. 2021

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

overlap detection · 0.5linked-read analysis · 0.5
YearPublicationVenuePosition
2021 ARBitR: an overlap-aware genome assembly scaffolder for linked reads
abstract
SUMMARY: Linked genomic sequencing reads contain information that can be used to join sequences together into scaffolds in draft genome assemblies. Existing software for this purpose performs the scaffolding by joining sequences with a gap between them, not considering potential overlaps of contigs. We developed ARBitR to create scaffolds where overlaps are taken into account and show that it can accurately recreate regions where draft assemblies are broken. AVAILABILITY AND IMPLEMENTATION: ARBitR is written and implemented in Python3 for Unix-based operative systems. All source code is available at https://github.com/markhilt/ARBitR under the GNU General Public License v3. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Markus Hiltunen, Martin Ryberg, Hanna Johannesson
Bioinform.1