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Dharuman Perumal

dblp:219/8948 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 1

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 › sequence analysis › sequencing data processing
sequencing quality control
0.312018
ChronQC: a quality control monitoring system for clinical next generation sequencing · Bioinform. 2018
Bioinformatics and computational biology › genomics
next-generation sequencing data analysis
0.112018
ChronQC: a quality control monitoring system for clinical next generation sequencing · Bioinform. 2018

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

westgard rules · 0.3time series monitoring · 0.3
YearPublicationVenuePosition
2018 ChronQC: a quality control monitoring system for clinical next generation sequencing
abstract
Summary: ChronQC is a quality control (QC) tracking system for clinical implementation of next-generation sequencing (NGS). ChronQC generates time series plots for various QC metrics to allow comparison of current runs to historical runs. ChronQC has multiple features for tracking QC data including Westgard rules for clinical validity, laboratory-defined thresholds and historical observations within a specified time period. Users can record their notes and corrective actions directly onto the plots for long-term recordkeeping. ChronQC facilitates regular monitoring of clinical NGS to enable adherence to high quality clinical standards. Availability and implementation: ChronQC is freely available on GitHub (https://github.com/nilesh-tawari/ChronQC), Docker (https://hub.docker.com/r/nileshtawari/chronqc/) and the Python Package Index. ChronQC is implemented in Python and runs on all common operating systems (Windows, Linux and Mac OS X). Contact: [email protected] or [email protected]. Supplementary information: Supplementary data are available at Bioinformatics online.
Nilesh R. Tawari, Justine Jia Wen Seow, Dharuman Perumal, Jack L. Ow, Shimin Ang, Arun George Devasia, Pauline C. Ng
Bioinform.3