Evidence map›Paper›PMID 31599923›Full record

ArticleBioinformatics (Oxford, England)2020

BiomeNet: a database for construction and analysis of functional interaction networks for any species with a sequenced genome.

Eiru Kim, Dasom Bae, Sunmo Yang, Gunhwan Ko, Sungho Lee, Byungwook Lee, Insuk Lee

Open access · hybridAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Eiru KimDepartment of Biotechnology, Yonsei University, Seodaemun-gu, Seoul 03722, Korea.
Dasom BaeDepartment of Biotechnology, Yonsei University, Seodaemun-gu, Seoul 03722, Korea.
Sunmo YangDepartment of Biotechnology, Yonsei University, Seodaemun-gu, Seoul 03722, Korea.
Gunhwan KoKorean Bioinformation Center, KRIBB, Yuseong-gu, Daejeon 34141, Korea.
Sungho LeeDepartment of Biotechnology, Yonsei University, Seodaemun-gu, Seoul 03722, Korea.
Byungwook LeeKorean Bioinformation Center, KRIBB, Yuseong-gu, Daejeon 34141, Korea.
Insuk LeeDepartment of Biotechnology, Yonsei University, Seodaemun-gu, Seoul 03722, Korea.
Yonsei University · KRKorea Research Institute of Bioscience and Biotechnology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationOwing 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.

resultsWe 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.

Indexed as

Databases, GeneticGenomeAnimalsGene Regulatory NetworksGenomicsSequence Analysis, DNA

Identifiers

PMID31599923
PMCPMC7703761
OpenAlexW2979598477

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.