Evidence map›Paper›PMID 36335499›Full record

ReviewMethods in molecular biology (Clifton, N.J.)2023

Haplotyping-Assisted Diploid Assembly and Variant Detection with Linked Reads.

Yunfei Hu, Chao Yang, Lu Zhang, Xin Zhou

Abstract readReview
PubMed Publisher
In one paragraph

Review in Methods in molecular biology (Clifton, N.J.), 2023. 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.

Yunfei Hu *Department of Computer Science, Vanderbilt University, Nashville, TN, USA.
Chao Yang *Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong.
Lu ZhangDepartment of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong. ericluzhang@hkbu.edu.hk.
Xin ZhouDepartment of Computer Science, Vanderbilt University, Nashville, TN, USA. maizie.zhou@vanderbilt.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phasing is essential for determining the origins of each set of alleles in the whole-genome sequencing data of individuals. As such, it provides essential information for the causes of hereditary diseases and the sources of individual variability. Recent technical breakthroughs in linked-read (referred to as co-barcoding in other chapters of the book) and long-read sequencing and downstream analysis have brought the goal of accurate and complete phasing within reach. Here we review recent progress related to the assembly and phasing of personal genomes based on linked-reads and related applications. Motivated by current limitations in generating high-quality diploid assemblies and detecting variants, a new suite of software tools, Aquila, was developed to fully take advantage of linked-read sequencing technology. The overarching goal of Aquila is to exploit the strengths of linked-read technology including long-range connectivity and inherent phasing of variants for reference-assisted local de novo assembly at the whole-genome scale. The diploid nature of the assemblies facilitates detection and phasing of genetic variation, including single nucleotide variations (SNVs), small insertions and deletions (indels), and structural variants (SVs). An extension of Aquila, Aquila_stLFR, focuses on another newly developed linked-reads sequencing technology, single-tube long-fragment read (stLFR). AquilaSV, a region-based diploid assembly approach, is used to characterize structural variants and can achieve diploid assembly in one target region at a time. Lastly, we introduce HAPDeNovo, a program that exploits phasing information from linked-read sequencing to improve detection of de novo mutations. Use of these tools is expected to harness the advantages of linked-reads technology, improve phasing, and advance variant discovery.

Indexed as

DiploidyHigh-Throughput Nucleotide SequencingGenome, HumanHaplotypesHumansSequence Analysis, DNAAquilaDiploid assemblyHaplotype estimationLinked-read sequencingStructural variantsVariant phasing

Identifiers

PMID36335499

What OpenQuestion holds

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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.