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Ted Wong

dblp:94/3061 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2017
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 2 · 2 first-author

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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genomics
next-generation sequencing data analysis
0.312017
ANAQUIN: a software toolkit for the analysis of spike-in controls for next generation sequencing · Bioinform. 2017
Bioinformatics and computational biology › sequence analysis › sequencing data processing
sequencing quality control
0.312017
ANAQUIN: a software toolkit for the analysis of spike-in controls for next generation sequencing · Bioinform. 2017

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

diagnostic statistics · 0.3
YearPublicationVenuePosition
2017 ANAQUIN: a software toolkit for the analysis of spike-in controls for next generation sequencing
abstract
Abstract Summary Spike-in controls are synthetic nucleic-acid sequences that are added to a user’s sample and constitute internal standards for subsequent steps in the next generation sequencing workflow. The Anaquin software toolkit can be used to analyze the performance of spike-in controls at multiple steps during RNA sequencing or genome sequencing analysis, providing useful diagnostic statistics, data visualization and sample normalization. Availability and Implementation The software is implemented in C ++/R and is freely available under BSD license. The source code is available from github.com/student-t/Anaquin, binaries and user manual from www.sequin.xyz/software and R package from bioconductor.org/packages/Anaquin Supplementary information Supplementary data are available at Bioinformatics online.
Ted Wong, Ira W. Deveson, Simon A. Hardwick, Tim R. Mercer
Bioinform.1
2007 ATR Applications in Military Missions
abstract
While there has been a nominal effort to develop automatic target recognition (ATR) technologies for military systems for the last couple of decades, there have been relatively few significant breakthroughs. At the same time, the evolution of some of our missions has made it more desirable to achieve solutions from this technology to meet some of the escalating operational challenges. This paper is intended to identify and characterize some areas where ATR algorithms might materially improve our operational capability
Ted Wong
CISDA1