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Sharif Shaaban

dblp:226/5050 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · unresolved

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genomics › viral genomics
genomic surveillance
0.312018
SnapperDB: a database solution for routine sequencing analysis of bacterial isolates · Bioinform. 2018
Bioinformatics and computational biology › genomics
microbial genomics
0.312018
SnapperDB: a database solution for routine sequencing analysis of bacterial isolates · Bioinform. 2018
Bioinformatics and computational biology › statistical genetics
single nucleotide polymorphism analysis
0.312018
SnapperDB: a database solution for routine sequencing analysis of bacterial isolates · Bioinform. 2018
YearPublicationVenuePosition
2018 SnapperDB: a database solution for routine sequencing analysis of bacterial isolates
abstract
Summary: Real-time surveillance of infectious disease using whole genome sequencing data poses challenges in both result generation and communication. SnapperDB represents a set of tools to store bacterial variant data and facilitate reproducible and scalable analysis of bacterial populations. We also introduce the 'SNP address' nomenclature to describe the relationship between isolates in a population to the single nucleotide resolution. We announce the release of SnapperDB v1.0 a program for scalable routine SNP analysis and storage of microbial populations. Availability and implementation: SnapperDB is implemented as a python application under the open source BSD license. All code and user guides are available at https://github.com/phe-bioinformatics/snapperdb. Reference genomes and SnapperDB configs are available at https://github.com/phe-bioinformatics/snapperdb_references.
Timothy Dallman, Philip Ashton, Ulf Schafer, Aleksey Jironkin, Anais Painset, Sharif Shaaban, Hassan Hartman, Richard Myers, Anthony Underwood, Claire Jenkins, Kathie Grant
Bioinform.6