Evidence map›Paper›PMID 31661777›Full record

ArticleNon-coding RNA2019

Accurate Adapter Information Is Crucial for Reproducibility and Reusability in Small RNA Seq Studies.

Xiangfu Zhong, Fatima Heinicke, Benedicte A Lie, Simon Rayner

Abstract read
In one paragraph

Article in Non-coding RNA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. A bioinformatics approach to microRNA-sequencing analysis.Osteoarthritis and cartilage open · 2021
    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

4 authors.

Xiangfu ZhongDepartment of Medical Genetics, Oslo University Hospital and University of Oslo, 0450 Oslo, Norway. zhong.xfz@gmail.com.ORCID 0000-0002-1872-1186
Fatima HeinickeDepartment of Medical Genetics, Oslo University Hospital and University of Oslo, 0450 Oslo, Norway. fatima.heinicke@medisin.uio.no.ORCID 0000-0001-8253-6105
Benedicte A LieDepartment of Medical Genetics, Oslo University Hospital and University of Oslo, 0450 Oslo, Norway. b.a.lie@medisin.uio.no.ORCID 0000-0002-1159-7004
Simon RaynerDepartment of Medical Genetics, Oslo University Hospital and University of Oslo, 0450 Oslo, Norway. simon.rayner@medisin.uio.no.ORCID 0000-0001-8703-9140

Funding

Helse Sør-Øst RHF 2016122 to S.R., 2015034 to B.A.L.
6 · The paper itself

Abstract

A necessary pre-processing data analysis step is the removal of adapter sequences from the raw reads. While most adapter trimming tools require adapter sequence as an essential input, adapter information is often incomplete or missing. This can impact quantification of features, reproducibility of the study and might even lead to erroneous conclusions. Here, we provide examples to highlight the importance of specifying the adapter sequence by demonstrating the effect of using similar but different adapter sequences and identify additional potential sources of errors in the adapter trimming step. Finally, we propose solutions by which users can ensure their small RNA-seq data is fully annotated with adapter information.

Indexed as

adapteradapter trimmingmicroRNANGSreproducibilityreusabilitysmall RNA

Identifiers

PMID31661777
PMCPMC6958438

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.