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Zhaohua Ji

dblp:62/10145 · DBLP profile ↗
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1ranked-venue papers
0as 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 · 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
Distributed systems · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › phylogenetics
phylogenetic inference
0.312017
CloudPhylo: a fast and scalable tool for phylogeny reconstruction · Bioinform. 2017
Bioinformatics and computational biology › phylogenetics
phylogeny reconstruction
0.312017
CloudPhylo: a fast and scalable tool for phylogeny reconstruction · Bioinform. 2017
Distributed systems
distributed data processing
0.112017
CloudPhylo: a fast and scalable tool for phylogeny reconstruction · Bioinform. 2017

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

spark · 0.6
YearPublicationVenuePosition
2017 CloudPhylo: a fast and scalable tool for phylogeny reconstruction
abstract
Summary: Phylogeny reconstruction is fundamentally crucial for molecular evolutionary studies but remains computationally challenging. Here we present CloudPhylo, a tool built on Spark that is capable of processing large-scale datasets for phylogeny reconstruction. As testified on empirical data, CloudPhylo is well suited for big data analysis, achieving high efficiency and good scalability on phylogenetic tree inference. Availability and Implementation: https://github.com/XingjianXu/cloudphylo Contact: [email protected] Supplementary Information: Supplementary data are available at Bioinformatics online.
Xingjian Xu, Zhaohua Ji, Zhang Zhang 0002
Bioinform.2