Evidence map›Paper›PMID 31888451›Full record

ArticleBMC genomics2019

The International Conference on Intelligent Biology and Medicine 2019 (ICIBM 2019): conference summary and innovations in genomics.

Ewy Mathé, Chi Zhang, Kai Wang, Xia Ning, Yan Guo, Zhongming Zhao

Erratum issuedOpen access · goldAbstract readEditorial
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Intelligent biology and medicine: Accelerating innovative computational approaches.Computational and structural biotechnology journal · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 1 country.

Ewy MathéDepartment of Biomedical Informatics, The Ohio State University, Columbus, 43210, USA. ewy.mathe@osumc.edu.
Chi ZhangDepartment of Medical & Molecular Genetics, School of Medicine, Indiana University, Indianapolis, Indiana, 46202, USA.
Kai WangRaymond G. Perelman Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
Xia NingDepartment of Biomedical Informatics, The Ohio State University, Columbus, 43210, USA.
Yan GuoDepartment of Internal Medicine, Comprehensive Cancer Center, University of New Mexico, Albuquerque, NM, 87131, USA.
Zhongming ZhaoCenter for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA. zhongming.zhao@uth.tmc.edu.
The Ohio State University · USChildren's Hospital of Philadelphia · USIndiana University – Purdue University Indianapolis · USNew Mexico Cancer Center · USThe University of Texas Health Science Center at Houston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goal of this editorial is to summarize the 2019 International Conference on Intelligent Biology and Medicine (ICIBM 2019) conference that took place on June 9-11, 2019 in The Ohio State University, Columbus, OH, and to provide an introductory summary of the seven articles presented in this supplement issue. ICIBM 2019 hosted four keynote speakers, four eminent scholar speakers, five tutorials and workshops, twelve concurrent sessions and a poster session, totaling 23 posters, spanning state-of-the-art developments in bioinformatics, genomics, next-generation sequencing (NGS) analysis, scientific databases, cancer and medical genomics, and computational drug discovery. A total of 105 original manuscripts were submitted to ICIBM 2019, and after careful review, seven were selected for this supplement issue. These articles cover methods and applications for functional annotations of miRNA targeting, clonal evolution of bacterial cells, gene co-expression networks that describe a given phenotype, functional binding site analysis of RNA-binding proteins, normalization of genome architecture mapping data, sample predictions based on multiple NGS data types, and prediction of an individual's genetic admixture given exonic single nucleotide polymorphisms data.

Indexed as

GenomicsSystems BiologyComputational BiologyCongresses as TopicDatabases, FactualGene Regulatory NetworksHigh-Throughput Nucleotide SequencingHumansInternationality

Identifiers

PMID31888451
PMCPMC6936133
OpenAlexW2998521726

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.