Evidence map›Paper›PMID 39339901›Full record

ReviewViruses2024

Bioinformatics Goes Viral: I. Databases, Phylogenetics and Phylodynamics Tools for Boosting Virus Research.

Federico Vello, Francesco Filippini, Irene Righetto

Abstract readReview
In one paragraph

Review in Viruses, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Life (Basel, Switzerland) · 2026
    Article
  2. 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

3 authors.

Federico VelloSynthetic Biology and Biotechnology Unit, Department of Biology, University of Padua, 35131 Padua, Italy.ORCID 0009-0002-9624-1556
Francesco FilippiniSynthetic Biology and Biotechnology Unit, Department of Biology, University of Padua, 35131 Padua, Italy.ORCID 0000-0001-5672-0726
Irene RighettoSynthetic Biology and Biotechnology Unit, Department of Biology, University of Padua, 35131 Padua, Italy.ORCID 0000-0001-9887-0044

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computer-aided analysis of proteins or nucleic acids seems like a matter of course nowadays; however, the history of Bioinformatics and Computational Biology is quite recent. The advent of high-throughput sequencing has led to the production of "big data", which has also affected the field of virology. The collaboration between the communities of bioinformaticians and virologists already started a few decades ago and it was strongly enhanced by the recent SARS-CoV-2 pandemics. In this article, which is the first in a series on how bioinformatics can enhance virus research, we show that highly useful information is retrievable from selected general and dedicated databases. Indeed, an enormous amount of information-both in terms of nucleotide/protein sequences and their annotation-is deposited in the general databases of international organisations participating in the International Nucleotide Sequence Database Collaboration (INSDC). However, more and more virus-specific databases have been established and are progressively enriched with the contents and features reported in this article. Since viruses are intracellular obligate parasites, a special focus is given to host-pathogen protein-protein interaction databases. Finally, we illustrate several phylogenetic and phylodynamic tools, combining information on algorithms and features with practical information on how to use them and case studies that validate their usefulness. Databases and tools for functional inference will be covered in the next article of this series:

Indexed as

Computational BiologyPhylogenyCOVID-19Databases, GeneticGenome, ViralHigh-Throughput Nucleotide SequencingHumansSARS-CoV-2Virusesbio-databasesbioinformaticscomputational biologydata miningphylodynamicsphylogeneticssequence alignmentvirus evolutionvirus–host interaction

Identifiers

PMID39339901
PMCPMC11437414

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.