Evidence map›Paper›PMID 35594018›Full record

ArticleAdvances in experimental medicine and biology2022

Databases, Knowledgebases, and Software Tools for Virus Informatics.

Yuxin Lin, Yulan Qian, Xin Qi, Bairong Shen

Abstract read
PubMed Publisher
In one paragraph

Article in Advances in experimental medicine and biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Yuxin Lin *Department of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Yulan Qian *Department of Pharmacy, The First Affiliated Hospital of Soochow University, Suzhou, China.
Xin QiSchool of Chemistry and Life Sciences, Suzhou University of Science and Technology, Suzhou, China.
Bairong ShenInstitutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China. bairong.shen@scu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Virus infection is a common social health issue. In the past decades, serious virus infectious events have caused great loss in people's life and the economics. The nature of rapid widespread and frequent variation increases the difficulty for precision viral prevention and treatment. In the era of big data and artificial intelligence (AI), advances in bioinformatics techniques bring unprecedented opportunities for virus informatics study, which contribute to the systems-level modeling of virus biology. In this chapter, data resources including virus-related databases and knowledgebases are introduced. Bioinformatics models and software tools for multiple sequence alignment, evolutionary analysis, and genome-wide research of viruses are summarized and emphasized. Translational applications of recently developed data-driven and AI-assisted methods to viral cases such as SARS-CoV-2, HBV/HCV, and influenza virus are discussed. Finally, the concept and significance of virus informatics are highlighted for both virus surveillance and health promotion.

Indexed as

COVID-19VirusesArtificial IntelligenceComputational BiologyHumansKnowledge BasesSARS-CoV-2SoftwareBioinformatics toolsDatabases and knowledgebasesPrecision medicineSystems healthVirus informatics

Identifiers

PMID35594018

What OpenQuestion holds

Textmetadata
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.