Evidence map›Paper›PMID 34432277›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

MicroRNA Databases and Tools.

Tharcísio Soares de Amorim, Daniel Longhi Fernandes Pedro, Alexandre Rossi Paschoal

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
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.

Tharcísio Soares de AmorimDepartment of Computer Science and Bioinformatics and Pattern Recognition Group, Universidade Tecnológica Federal do Paraná (UTFPR), Cornélio Procópio, Brazil.
Daniel Longhi Fernandes PedroDepartment of Computer Science and Bioinformatics and Pattern Recognition Group, Universidade Tecnológica Federal do Paraná (UTFPR), Cornélio Procópio, Brazil.
Alexandre Rossi PaschoalDepartment of Computer Science and Bioinformatics and Pattern Recognition Group, Universidade Tecnológica Federal do Paraná (UTFPR), Cornélio Procópio, Brazil. paschoal@utfpr.edu.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this era of big data, sets of methodologies and strategies are designed to extract knowledge from huge volumes of data. However, the cost of where and how to get this information accurately and quickly is extremely important, given the diversity of genomes and the different ways of representing that information. Among the huge set of information and relationships that the genome carries, there are sequences called miRNAs (microRNAs). These sequences were described in the 1990s and are mainly involved in mechanisms of regulation and gene expression. Having this in mind, this chapter focuses on exploring the available literature and providing useful and practical guidance on the miRNA database and tools topic. For that, we organized and present this text in two ways: (a) the update reviews and articles, which best summarize and discuss the theme; and (b) our update investigation on miRNA literature and portals about databases and tools. Finally, we present the main challenge and a possible solution to improve resources and tools.

Indexed as

Big DataComputational BiologyDatabases, FactualMicroRNAsMicroRNAsBioinformaticsData analysisDatabasesmiRNAsMirtronsPredictionRepositoryResourcesTarget geneTools

Identifiers

PMID34432277

What Socratic 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 Socratic graph.