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Eiru Kim

dblp:141/5086 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2020
0000-0002-1901-5670ORCID · verified

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 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 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › network bioinformatics › biological network analysis
gene network analysis
0.412020
BiomeNet: a database for construction and analysis of functional interaction networks for any species with a sequenced genome · Bioinform. 2020
Bioinformatics and computational biology › genomics › computational genomics
gene prioritization
0.112020
BiomeNet: a database for construction and analysis of functional interaction networks for any species with a sequenced genome · Bioinform. 2020

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

orthology-based network transfer · 0.4
YearPublicationVenuePosition
2020 BiomeNet: a database for construction and analysis of functional interaction networks for any species with a sequenced genome
abstract
MOTIVATION: Owing to advanced DNA sequencing and genome assembly technology, the number of species with sequenced genomes is rapidly increasing. The aim of the recently launched Earth BioGenome Project is to sequence genomes of all eukaryotic species on Earth over the next 10 years, making it feasible to obtain genomic blueprints of the majority of animal and plant species by this time. Genetic models of the sequenced species will later be subject to functional annotation, and a comprehensive molecular network should facilitate functional analysis of individual genes and pathways. However, network databases are lagging behind genome sequencing projects as even the largest network database provides gene networks for less than 10% of sequenced eukaryotic genomes, and the knowledge gap between genomes and interactomes continues to widen. RESULTS: We present BiomeNet, a database of 95 scored networks comprising over 8 million co-functional links, which can build and analyze gene networks for any species with the sequenced genome. BiomeNet transfers functional interactions between orthologous proteins from source networks to the target species within minutes and automatically constructs gene networks with the quality comparable to that of existing networks. BiomeNet enables assembly of the first-in-species gene networks not available through other databases, which are highly predictive of diverse biological processes and can also provide network analysis by extracting subnetworks for individual biological processes and network-based gene prioritizations. These data indicate that BiomeNet could enhance the benefits of decoding the genomes of various species, thus improving our understanding of the Earth' biodiversity. AVAILABILITY AND IMPLEMENTATION: The BiomeNet is freely available at http://kobic.re.kr/biomenet/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Eiru Kim, Dasom Bae, Sunmo Yang, Gunhwan Ko, Byungwook Lee, Insuk Lee
Bioinform.1