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Benjamin C. Jackson

dblp:327/9703 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2022
0000-0002-9981-0649ORCID · 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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
genomic epidemiology
0.612022
gofasta: command-line utilities for genomic epidemiology research · Bioinform. 2022
Bioinformatics and computational biology › sequence analysis › sequence variation analysis
mutation annotation
0.612022
gofasta: command-line utilities for genomic epidemiology research · Bioinform. 2022
Bioinformatics and computational biology › genomics › viral genomics
viral genome analysis
0.612022
gofasta: command-line utilities for genomic epidemiology research · Bioinform. 2022

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

sequence alignment · 0.6genetic distance computation · 0.6
YearPublicationVenuePosition
2022 gofasta: command-line utilities for genomic epidemiology research
abstract
SUMMARY: gofasta comprises a set of command-line utilities for handling alignments of short assembled genomes in a genomic epidemiology context. It was developed for processing large numbers of closely related SARS-CoV-2 viral genomes and should be useful with other densely sampled pathogen genomic datasets. It provides functions to convert sam-format pairwise alignments between assembled genomes to fasta format; to annotate mutations in multiple sequence alignments, and to extract sets of sequences by genetic distance measures for use in outbreak investigations. AVAILABILITY AND IMPLEMENTATION: gofasta is an open-source project distributed under the MIT license. Binaries are available at https://github.com/virus-evolution/gofasta, from Bioconda, and through the Go programming language's package management system. Source code and further documentation, including walkthroughs for common use cases, are available on the GitHub repository.
Benjamin C. Jackson
Bioinform.1