Evidence map›Paper›PMID 36975490›Full record

ReviewCurrent issues in molecular biology2023

Revealing the History and Mystery of RNA-Seq.

Aishwarya Gondane, Harri M Itkonen

Open access · goldFull text readReview
In one paragraph

Review in Current issues in molecular biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
6.8field-weighted citation impact, top 3% 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

27 citing papers in PubMed, 44 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Isolation of RNA for RNA Sequencing in Ustilago maydis.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Transcriptional characterization of sepsis in a LPS porcine model.Molecular genetics and genomics : MGG · 2025
    Article
  12. Article
  13. An Overview of Circular RNAs.Advances in experimental medicine and biology · 2025
    Review
  14. When genes turn traitor:Frontiers in plant science · 2025
    Article
  15. Reference-Based Gene Expression Analysis Using Galaxy Server.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

2 authors at 1 institution in 1 country.

Aishwarya GondaneDepartment of Biochemistry and Developmental Biology, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland.
Harri M ItkonenDepartment of Biochemistry and Developmental Biology, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland.
University of Helsinki · FI

Funding

Academy of Finland 331324Academy of Finland 335902Jenny ja Antti Wihurin Rahasto NAK. Albin Johanssons stiftelse NAOrion Research Foundation NASigrid Jusélius Foundation NAYoung Investigators' Grant NA
6 · The paper itself

Abstract

Advances in RNA-sequencing technologies have led to the development of intriguing experimental setups, a massive accumulation of data, and high demand for tools to analyze it. To answer this demand, computational scientists have developed a myriad of data analysis pipelines, but it is less often considered what the most appropriate one is. The RNA-sequencing data analysis pipeline can be divided into three major parts: data pre-processing, followed by the main and downstream analyses. Here, we present an overview of the tools used in both the bulk RNA-seq and at the single-cell level, with a particular focus on alternative splicing and active RNA synthesis analysis. A crucial part of data pre-processing is quality control, which defines the necessity of the next steps; adapter removal, trimming, and filtering. After pre-processing, the data are finally analyzed using a variety of tools: differential gene expression, alternative splicing, and assessment of active synthesis, the latter requiring dedicated sample preparation. In brief, we describe the commonly used tools in the sample preparation and analysis of RNA-seq data.

Indexed as

alternative splicingbioinformaticsnascent mRNA analysisRNA-seqscRNA-seqtranscriptomic data analysis

Identifiers

PMID36975490
PMCPMC10047236
OpenAlexW4322496116

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read1
measurements read3
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.