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Sandi Yen

dblp:425/4169 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0001-5757-7693ORCID · 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 › genomics
microbial genomics
0.812024
isolateR: an R package for generating microbial libraries from Sanger sequencing data · Bioinform. 2024
Bioinformatics and computational biology › sequence analysis
sequencing data analysis
0.212024
isolateR: an R package for generating microbial libraries from Sanger sequencing data · Bioinform. 2024
Bioinformatics and computational biology › metagenomics
taxonomic classification
0.212024
isolateR: an R package for generating microbial libraries from Sanger sequencing data · Bioinform. 2024

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

sanger sequencing · 0.8global alignment · 0.8dereplication · 0.8
YearPublicationVenuePosition
2024 isolateR: an R package for generating microbial libraries from Sanger sequencing data
abstract
MOTIVATION: Sanger sequencing of taxonomic marker genes (e.g. 16S/18S/ITS/rpoB/cpn60) represents the leading method for identifying a wide range of microorganisms including bacteria, archaea, and fungi. However, the manual processing of sequence data and limitations associated with conventional BLAST searches impede the efficient generation of strain libraries essential for cataloging microbial diversity and discovering novel species. RESULTS: isolateR addresses these challenges by implementing a standardized and scalable three-step pipeline that includes: (1) automated batch processing of Sanger sequence files, (2) taxonomic classification via global alignment to type strain databases in accordance with the latest international nomenclature standards, and (3) straightforward creation of strain libraries and handling of clonal isolates, with the ability to set customizable sequence dereplication thresholds and combine data from multiple sequencing runs into a single library. The tool's user-friendly design also features interactive HTML outputs that simplify data exploration and analysis. Additionally, in silico benchmarking done on two comprehensive human gut genome catalogues (IMGG and Hadza hunter-gather populations) showcase the proficiency of isolateR in uncovering and cataloging the nuanced spectrum of microbial diversity, advocating for a more targeted and granular exploration within individual hosts to achieve the highest strain-level resolution possible when generating culture collections. AVAILABILITY AND IMPLEMENTATION: isolateR is available at: https://github.com/bdaisley/isolateR.
Brendan Daisley, Sarah J. Vancuren, Dylan J. L. Brettingham, Jacob Wilde, Simone Renwick, Christine V. Macpherson, David A. Good, Alexander J. Botschner, Sandi Yen, Janet E. Hill, Matthew T. Sorbara, Emma Allen-Vercoe
Bioinform.9