Evidence map›Paper›PMID 33961228›Full record

ReviewMethods in molecular biology (Clifton, N.J.)2021

A Compendium of Bioinformatic Tools for Bacterial Pangenomics to Be Used by Wet-Lab Scientists.

Camilla Fagorzi, Alice Checcucci

Abstract readReview
PubMed Publisher
In one paragraph

Review in Methods in molecular biology (Clifton, N.J.), 2021. 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
1.6field-weighted citation impact, top 19% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  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

2 authors at 2 institutions in 1 country.

Camilla FagorziDepartment of Biology, University of Florence, Florence, Italy.
Alice CheccucciDepartment of Agricultural and Food Science, University of Bologna, Bologna, Italy. alice.checcucci2@unibo.it.
University of Bologna · ITUniversity of Florence · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Making use of mathematics and statistics, bioinformatics helps biologists to quickly obtain information from a huge amount of experimental data. Nowadays, a large number of web- and computer-based tools are available, allowing more unskilled scientists to be familiar with data analysis techniques. The present chapter gives an overview of the most easy-to-use tools and software packages for bacterial genes and genome analysis present on the Web, with the aim to mainly help wet-lab researcher at undergraduate and postgraduate levels to introduce them to bioinformatics analysis of biological data.

Indexed as

Computational BiologyGenome, BacterialGenomicsBacteriaDNA, BacterialSoftwareDNA, BacterialBacteriaBioinformaticsGenomicsWet lab

Identifiers

PMID33961228
OpenAlexW3158609381

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.