Evidence map›Paper›PMID 34716505›Full record

ArticleMolecular biology reports2022

Inline index helped in cleaning up data contamination generated during library preparation and the subsequent steps.

Ying Wang, Hao Yuan, Junman Huang, Chenhong Li

Abstract read
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In one paragraph

Article in Molecular biology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Population Patterns and Dynamics ofEvolutionary applications · 2025
    Article
  3. Article
  4. Contamination Survey of Insect Genomic and Transcriptomic Data.Animals : an open access journal from MDPI · 2024
    Article
  5. Article
  6. 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.

Ying WangShanghai Universities Key Laboratory of Marine Animal Taxonomy and Evolution, Shanghai Ocean University, Shanghai, 201306, China.
Hao YuanShanghai Universities Key Laboratory of Marine Animal Taxonomy and Evolution, Shanghai Ocean University, Shanghai, 201306, China.
Junman HuangShanghai Universities Key Laboratory of Marine Animal Taxonomy and Evolution, Shanghai Ocean University, Shanghai, 201306, China.
Chenhong LiShanghai Universities Key Laboratory of Marine Animal Taxonomy and Evolution, Shanghai Ocean University, Shanghai, 201306, China. chli@shou.edu.cn.ORCID http://orcid.org/0000-0003-3075-1756

Funding

Science and Technology Commission of Shanghai Municipality 19050501900
6 · The paper itself

Abstract

backgroundHigh-throughput sequencing involves library preparation and amplification steps, which may induce contamination across samples or between samples and the environment.

methodsWe tested the effect of applying an inline-index strategy, in which DNA indices of 6 bp were added to both ends of the inserts at the ligation step of library prep for resolving the data contamination problem.

resultsOur results showed that the contamination ranged from 0.29 to 1.25% in one experiment and from 0.83 to 27.01% in the other. We also found that contamination could be environmental or from reagents besides cross-contamination between samples.

conclusionsInline-index method is a useful experimental design to clean up the data and address the contamination problem which has been plaguing high-throughput sequencing data in many applications.

Indexed as

DNADNA ContaminationGene LibraryHigh-Throughput Nucleotide SequencingIndicators and ReagentsSequence Analysis, DNADNAIndicators and ReagentsContaminationCross-contaminationEnvironmental DNAIndexingMeta genomicsMultiplexed sequencingNext-generation sequencingPhylogenomics

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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.