Evidence map›Paper›PMID 21176179›Full record

ReviewGenome biology2010

From RNA-seq reads to differential expression results.

Alicia Oshlack, Mark D Robinson, Matthew D Young

Registry-linked trialAbstract readReview
In one paragraph

Review in Genome biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05378282 (Identification of Diabetic Nephropathy Biomarkers Through Transcriptomics), which is not on this map. Cited by 360 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
360citing papers in PubMed, 1 pooled it
–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.

NCT05378282 completednot on this mapstarted 2021, after this paper: background citation

Identification of Diabetic Nephropathy Biomarkers Through Transcriptomics

TypeobservationalSponsorHospital Juarez de MexicoRan2021 to 2023Enrolled40ConditionsType 2 Diabetes, Type 2 Diabetes With Renal Manifestations
3 · Its place in the literature

Who cites it

360 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  17. The Evolution of Next-Generation Sequencing Technologies.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
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300 more citing papers are in PubMed but not listed here.

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.

Alicia OshlackBioinformatics Division, Walter and Eliza Hall Institute, 1G Royal Parade, Parkville 3052, Australia. oshlack@wehi.edu.au
Mark D Robinson
Matthew D Young

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many methods and tools are available for preprocessing high-throughput RNA sequencing data and detecting differential expression.

Indexed as

Gene ExpressionChromosome MappingComputational BiologyGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansMicroarray AnalysisRNASequence AlignmentSequence Analysis, RNASoftwareRNA

Identifiers

PMID21176179
PMCPMC3046478

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.