Evidence map›Paper›PMID 21623353›Full record

ReviewNature methods2011

Computational methods for transcriptome annotation and quantification using RNA-seq.

Manuel Garber, Manfred G Grabherr, Mitchell Guttman, Cole Trapnell

Erratum issuedAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature methods, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 522 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
522citing 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.

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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Overexpression ofPlants (Basel, Switzerland) · 2026
    Article
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  11. Review
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  18. Heat Acclimation Enhances Brain Resilience to Acute Thermal Stress inAnimals : an open access journal from MDPI · 2025
    Article
  19. Article
  20. Article

462 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

4 authors.

Manuel GarberBroad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts, USA. mgarber@broadinstitute.org
Manfred G Grabherr
Mitchell Guttman
Cole Trapnell

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput RNA sequencing (RNA-seq) promises a comprehensive picture of the transcriptome, allowing for the complete annotation and quantification of all genes and their isoforms across samples. Realizing this promise requires increasingly complex computational methods. These computational challenges fall into three main categories: (i) read mapping, (ii) transcriptome reconstruction and (iii) expression quantification. Here we explain the major conceptual and practical challenges, and the general classes of solutions for each category. Finally, we highlight the interdependence between these categories and discuss the benefits for different biological applications.

Indexed as

AnimalsComputational BiologyGene Expression ProfilingGenomicsHigh-Throughput Nucleotide SequencingHumansSequence AlignmentSequence Analysis, RNA

Identifiers

PMID21623353

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.