Evidence map›Paper›PMID 34160798›Full record

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

Bioinformatics Pipeline to Analyze lncRNA Arrays.

Katia Todoerti, Domenica Ronchetti, Martina Manzoni, Elisa Taiana, Antonino Neri, Luca Agnelli

Abstract read
PubMed Publisher
In one paragraph

Article 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
–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. 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

6 authors.

Katia Todoerti *Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy.
Domenica Ronchetti *Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy.
Martina ManzoniDepartment of Oncology and Hemato-oncology, University of Milan, Milan, Italy.
Elisa TaianaDepartment of Oncology and Hemato-oncology, University of Milan, Milan, Italy.
Antonino NeriDepartment of Oncology and Hemato-oncology, University of Milan, Milan, Italy.
Luca AgnelliDepartment of Oncology and Hemato-oncology, University of Milan, Milan, Italy. luca.agnelli@istitutotumori.mi.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the fact that next-generation sequencing approaches, in particular RNA sequencing, provide deep genome-wide expression data that allow both careful annotations/mapping of long noncoding RNA (lncRNA) molecules and de-novo sequencing, lncRNA expression studies by microarray is a still cost-effective procedure that could allow to have a landscape of the most characterized lncRNA species. However, microarray design does not always correctly address the overlap between coding and noncoding samples to discriminate between the original transcript source. In order to overcome this issue, in this chapter we present a bioinformatics pipeline that enables accurate annotation of GeneChip

Indexed as

Gene Expression ProfilingOligonucleotide Array Sequence AnalysisRNA, Long NoncodingTranscriptomeAlgorithmsComputational BiologyDatabases, GeneticGenome-Wide Association StudyHumansMolecular Sequence AnnotationSoftwareUser-Computer InterfaceRNA, Long NoncodinglncRNAMicroarrays

Identifiers

PMID34160798

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.