Evidence map›Paper›PMID 34122513›Full record

ArticleFrontiers in genetics2021

UMIc: A Preprocessing Method for UMI Deduplication and Reads Correction.

Maria Tsagiopoulou, Maria Christina Maniou, Nikolaos Pechlivanis, Anastasis Togkousidis, Michaela Kotrová, Tobias Hutzenlaub, Ilias Kappas, Anastasia Chatzidimitriou, Fotis Psomopoulos

Abstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. piRNAs safeguard splicing and RNA fidelity during heat shock.bioRxiv : the preprint server for biology · 2025
    Article
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  5. Article
  6. Review
  7. Review
  8. Article
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  13. Review
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

9 authors.

Maria TsagiopoulouInstitute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece.
Maria Christina ManiouInstitute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece.
Nikolaos PechlivanisInstitute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece.
Anastasis TogkousidisInstitute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece.
Michaela KotrováUnit for Hematological Diagnostics, Department of Internal Medicine II, University Medical Center Schleswig-Holstein, Kiel, Germany.
Tobias HutzenlaubLaboratory for MEMS Applications, IMTEK-Department of Microsystems Engineering, University of Freiburg, Freiburg, Germany.
Ilias KappasDepartment of Genetics, Development and Molecular Biology, School of Biology, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Anastasia ChatzidimitriouInstitute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece.
Fotis PsomopoulosInstitute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A recent refinement in high-throughput sequencing involves the incorporation of unique molecular identifiers (UMIs), which are random oligonucleotide barcodes, on the library preparation steps. A UMI adds a unique identity to different DNA/RNA input molecules through polymerase chain reaction (PCR) amplification, thus reducing bias of this step. Here, we propose an alignment free framework serving as a preprocessing step of fastq files, called UMIc, for deduplication and correction of reads building consensus sequences from each UMI. Our approach takes into account the frequency and the Phred quality of nucleotides and the distances between the UMIs and the actual sequences. We have tested the tool using different scenarios of UMI-tagged library data, having in mind the aspect of a wide application. UMIc is an open-source tool implemented in R and is freely available from https://github.com/BiodataAnalysisGroup/UMIc.

Indexed as

bioinformaticserror correctionmolecular barcodesnext-generation sequencingunique molecular identifiers

Identifiers

PMID34122513
PMCPMC8193862

What OpenQuestion holds

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LicenceCC BY
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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.