Evidence map›Paper›PMID 35230689›Full record

ArticleAdvances in experimental medicine and biology2022

Computational Resources for the Interpretation of Variations in Cancer.

Grete Francesca Privitera, Salvatore Alaimo, Alfredo Ferro, Alfredo Pulvirenti

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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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Grete Francesca PriviteraDepartment of Physics and Astronomy, University of Catania, Catania, Italy.
Salvatore AlaimoDepartment of Clinical and Experimental Medicine, Bioinformatics Unit, University of Catania, Catania, Italy.
Alfredo FerroDepartment of Clinical and Experimental Medicine, Bioinformatics Unit, University of Catania, Catania, Italy.
Alfredo PulvirentiDepartment of Clinical and Experimental Medicine, Bioinformatics Unit, University of Catania, Catania, Italy. alfredo.pulvirenti@unict.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A broad ecosystem of resources, databases, and systems to analyze cancer variations is present in the literature. These are a strategic element in the interpretation of NGS experiments. However, the intrinsic wealth of data from RNA-seq, ChipSeq, and DNA-seq can be fully exploited only with the proper skill and knowledge. In this chapter, we survey relevant literature concerning databases, annotators, and variant prioritization tools.

Indexed as

EcosystemNeoplasmsComputational BiologyDNAExome SequencingHigh-Throughput Nucleotide SequencingHumansSoftwareDNADNA alterationsDNA-SeqMutationsNGSRNA-SeqVariant annotationVariant databasesVariant interpretationVariant pathogenicity assessmentVariant prioritization

Identifiers

PMID35230689

What OpenQuestion holds

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Registered trials

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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.