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Susan Rosser

dblp:147/8921 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 2

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
2 papers
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 › synthetic biology
DNA sequence design
0.412020
DNA Chisel, a versatile sequence optimizer · Bioinform. 2020
Bioinformatics and computational biology › genome annotation
sequence annotation visualization
0.412020
DNA Features Viewer: a sequence annotation formatting and plotting library for Python · Bioinform. 2020

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

multi-objective optimization · 0.4layout optimization · 0.4
YearPublicationVenuePosition
2020 DNA Features Viewer: a sequence annotation formatting and plotting library for Python
abstract
MOTIVATION: Although the Python programming language counts many Bioinformatics and Computational Biology libraries; none offers customizable sequence annotation visualizations with layout optimization. RESULTS: DNA Features Viewer is a sequence annotation plotting library which optimizes plot readability while letting users tailor other visual aspects (colors, labels, highlights etc.) to their particular use case. AVAILABILITY AND IMPLEMENTATION: Open-source code and documentation are available on Github under the MIT license (https://github.com/Edinburgh-Genome-Foundry/DnaFeaturesViewer). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Valentin Zulkower, Susan Rosser
Bioinform.2
2020 DNA Chisel, a versatile sequence optimizer
abstract
MOTIVATION: Accounting for biological and practical requirements in DNA sequence design often results in challenging optimization problems. Current software solutions are problem-specific and hard to combine. RESULTS: DNA Chisel is an easy-to-use, easy-to-extend sequence optimization framework allowing to freely define and combine optimization specifications via Python scripts or Genbank annotations. AVAILABILITY AND IMPLEMENTATION: The framework is available as a web application (https://cuba.genomefoundry.org/sculpt_a_sequence) or open-source Python library (see at https://github.com/Edinburgh-Genome-Foundry/DNAChisel for code and documentation). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Valentin Zulkower, Susan Rosser, Yann Ponty
Bioinform.2