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Paul A. Khavari

dblp:96/11189 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · unresolved

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%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
High-performance computing · 100%

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › metagenomics
pathogen detection		 0.112012
Rapid identification of non-human sequences in high-throughput sequencing datasets · Bioinform. 2012
High-performance computing
sequence alignment		 0.012012
Rapid identification of non-human sequences in high-throughput sequencing datasets · Bioinform. 2012

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

assembly · 0.3alignment · 0.3
YearPublicationVenuePosition
2012 Rapid identification of non-human sequences in high-throughput sequencing datasets
abstract
UNLABELLED: Rapid identification of non-human sequences (RINS) is an intersection-based pathogen detection workflow that utilizes a user-provided custom reference genome set for identification of non-human sequences in deep sequencing datasets. In <2 h, RINS correctly identified the known virus in the dataset SRR73726 and is compatible with any computer capable of running the prerequisite alignment and assembly programs. RINS accurately identifies sequencing reads from intact or mutated non-human genomes in a dataset and robustly generates contigs with these non-human sequences (Supplementary Material). AVAILABILITY: RINS is available for free download at http://khavarilab.stanford.edu/resources.html.
Aparna Bhaduri, Kun Qu, Carolyn S. Lee, Alexander Ungewickell, Paul A. Khavari
 Bioinform.5