Evidence map›Paper›PMID 34354114›Full record

ArticleScientific reports2021

Evaluation of a high-throughput, cost-effective Illumina library preparation kit.

Eric S Tvedte, Jane Michalski, Shaoji Cheng, Rayanna S Patkus, Luke J Tallon, Lisa Sadzewicz, Vincent M Bruno, Joana C Silva, David A Rasko, Julie C Dunning Hotopp

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Sensitive and modular amplicon sequencing ofbioRxiv : the preprint server for biology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Hackflex library preparation enables low-cost metagenomic profiling.bioRxiv : the preprint server for biology · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

10 authors at 2 institutions in 1 country.

Eric S TvedteInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, 21201, USA. etvedte@som.umaryland.edu.
Jane MichalskiInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Shaoji ChengDepartment of Medicine, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
Rayanna S PatkusInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Luke J TallonInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Lisa SadzewiczInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Vincent M BrunoInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Joana C SilvaInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
David A RaskoInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Julie C Dunning HotoppInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, 21201, USA. jdhotopp@som.umaryland.edu.
University of Maryland, Baltimore · USUniversity of Pittsburgh · US

Funding

Technology CoreU19AI110820 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI DUNNING HOTOPP, JULIE · 2014 to 2023
$36.5M
NIAID NIH HHS U19 AI110820
6 · The paper itself

Abstract

Library preparation for high-throughput sequencing applications is a critical step in producing representative, unbiased sequencing data. The iGenomX Riptide High Throughput Rapid Library Prep Kit purports to provide high-quality sequencing data with lower costs compared to other Illumina library kits. To test these claims, we compared sequence data quality of Riptide libraries to libraries constructed with KAPA Hyper and NEBNext Ultra. Across several single-source genome samples, mapping performance and de novo assembly of Riptide libraries were similar to conventional libraries prepared with the same DNA. Poor performance of some libraries resulted in low sequencing depth. In particular, degraded DNA samples may be challenging to sequence with Riptide. There was little cross-well plate contamination with the overwhelming majority of reads belong to the proper source genomes. The sequencing of metagenome samples using different Riptide primer sets resulted in variable taxonomic assignment of reads. Increased adoption of the Riptide kit will decrease library preparation costs. However, this method might not be suitable for degraded DNA.

Indexed as

Gene LibraryCost-Benefit AnalysisDNAHigh-Throughput Nucleotide SequencingMetagenomeSequence Analysis, DNADNA

Identifiers

PMID34354114
PMCPMC8342411
OpenAlexW3192642189

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.