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Deniz Sinar

dblp:321/3557 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 1 · 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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › sequence analysis › sequence assembly › genome assembly
assembly quality assessment
0.612022
SASpector: analysis of missing genomic regions in draft genomes of prokaryotes · Bioinform. 2022
Bioinformatics and computational biology › sequence analysis › sequence assembly
genome assembly
0.612022
SASpector: analysis of missing genomic regions in draft genomes of prokaryotes · Bioinform. 2022
Bioinformatics and computational biology
genomics
0.612022
SASpector: analysis of missing genomic regions in draft genomes of prokaryotes · Bioinform. 2022

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

short-read assembly comparison · 0.6
YearPublicationVenuePosition
2022 SASpector: analysis of missing genomic regions in draft genomes of prokaryotes
abstract
SUMMARY: Missing regions in short-read assemblies of prokaryote genomes are often attributed to biases in sequencing technologies and to repetitive elements, the former resulting in low sequencing coverage of certain loci and the latter to unresolved loops in the de novo assembly graph. We developed SASpector, a command-line tool that compares short-read assemblies (draft genomes) to their corresponding closed assemblies and extracts missing regions to analyze them at the sequence and functional level. SASpector allows to benchmark the need for resolved genomes, can be integrated into pipelines to control the quality of assemblies, and could be used for comparative investigations of missingness in assemblies for which both short-read and long-read data are available in the public databases. AVAILABILITY AND IMPLEMENTATION: SASpector is available at https://github.com/LoGT-KULeuven/SASpector. The tool is implemented in Python3 and available through pip and Docker (0mician/saspector). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Cédric Lood, Alejandro Correa Rojo, Deniz Sinar, Emma Verkinderen, Rob Lavigne, Vera van Noort
Bioinform.3