Evidence map›Paper›PMID 36308393›Full record

ArticleDNA research : an international journal for rapid publication of reports on genes and genomes2022

Assembly-free discovery of human novel sequences using long reads.

Qiuhui Li, Bin Yan, Tak-Wah Lam, Ruibang Luo

Abstract read
In one paragraph

Article in DNA research : an international journal for rapid publication of reports on genes and genomes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Qiuhui LiDepartment of Computer Science, The University of Hong Kong, Hong Kong, China.
Bin YanDepartment of Computer Science, The University of Hong Kong, Hong Kong, China.
Tak-Wah LamDepartment of Computer Science, The University of Hong Kong, Hong Kong, China.
Ruibang LuoDepartment of Computer Science, The University of Hong Kong, Hong Kong, China.ORCID 0000-0001-9711-6533

Funding

Hong Kong SAR governmentShenzhen municipal government, ChinaUniversity of Hong Kong
6 · The paper itself

Abstract

DNA sequences that are absent in the human reference genome are classified as novel sequences. The discovery of these missed sequences is crucial for exploring the genomic diversity of populations and understanding the genetic basis of human diseases. However, various DNA lengths of reads generated from different sequencing technologies can significantly affect the results of novel sequences. In this work, we designed an assembly-free novel sequence (AF-NS) approach to identify novel sequences from Oxford Nanopore Technology long reads. Among the newly detected sequences using AF-NS, more than 95% were omitted from those using long-read assemblers and 85% were not present in short reads of Illumina. We identified the common novel sequences among all the samples and revealed their association with the binding motifs of transcription factors. Regarding the placements of the novel sequences, we found about 70% enriched in repeat regions and generated 430 for one specific subpopulation that might be related to their evolution. Our study demonstrates the advance of the assembly-free approach to capture more novel sequences over other assembler based methods. Combining the long-read data with powerful analytical methods can be a robust way to improve the completeness of novel sequences.

Indexed as

High-Throughput Nucleotide SequencingNanoporesBase SequenceGenomicsHumansSequence Analysis, DNAassembly-free approachhuman referenceslong readsnovel sequences

Identifiers

PMID36308393
PMCPMC9700288

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Registered trials

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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.