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John Lees

dblp:288/4848 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0001-5360-1254ORCID · reported

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 comparison
alignment-free sequence analysis		 0.712023
fastlin: an ultra-fast program for Mycobacterium tuberculosis complex lineage typing · Bioinform. 2023
Bioinformatics and computational biology
genomics		 0.712023
fastlin: an ultra-fast program for Mycobacterium tuberculosis complex lineage typing · Bioinform. 2023
Bioinformatics and computational biology
sequence analysis		 0.712023
fastlin: an ultra-fast program for Mycobacterium tuberculosis complex lineage typing · Bioinform. 2023

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

barcode SNP detection · 0.7alignment-free approach · 0.7
YearPublicationVenuePosition
2023 fastlin: an ultra-fast program for Mycobacterium tuberculosis complex lineage typing
abstract
SUMMARY: Fastlin is a bioinformatics tool designed for rapid Mycobacterium tuberculosis complex (MTBC) lineage typing. It utilizes an ultra-fast alignment-free approach to detect previously identified barcode single nucleotide polymorphisms associated with specific MTBC lineages. In a comprehensive benchmarking against existing tools, fastlin demonstrated high accuracy and significantly faster running times. AVAILABILITY AND IMPLEMENTATION: fastlin is freely available at https://github.com/rderelle/fastlin and can easily be installed using Conda.
Romain Derelle, John Lees, Jody Phelan, Ajit Lalvani, Nimalan Arinaminpathy, Leonid Chindelevitch
 Bioinform.2