Evidence map›Paper›PMID 42063413›Full record

ArticleAlgorithms in bioinformatics : ... International Workshop, WABI ..., proceedings. WABI (Workshop)2022

Haplotype Threading Using the Positional Burrows-Wheeler Transform.

Ahsan Sanaullah, Degui Zhi, Shaoije Zhang

Abstract read
In one paragraph

Article in Algorithms in bioinformatics : ... International Workshop, WABI ..., proceedings. WABI (Workshop), 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

3 authors.

Ahsan SanaullahDepartment of Computer Science, University of Central Florida, Orlando, FL, USA.
Degui ZhiSchool of Biomedical Informatics, University of Texas Health Science Center, Houston, TX, USA.
Shaoije ZhangDepartment of Computer Science, University of Central Florida, Orlando, FL, USA.

Funding

Scalable methods for identity by descentR01HG010086 · NHGRI · YALE UNIVERSITY · PI Shaojie Zhang, Degui Zhi · 2018 to 2026
$4.9M
Genome Informatics For Biobank-scale DataR56HG011509 · NHGRI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ZHANG, SHAOJIE, ZHI, DEGUI · 2021 to 2021
$616k
NHGRI NIH HHS R01 HG010086NHGRI NIH HHS R56 HG011509
6 · The paper itself

Abstract

In the classic model of population genetics, one haplotype (query) is considered as a mosaic copy of segments from a number of haplotypes in a panel, or threading the haplotype through the panel. The Li and Stephens model parameterized this problem using a hidden Markov model (HMM). However, HMM algorithms are linear to the sample size, and can be very expensive for biobank-scale panels. Here, we formulate the haplotype threading problem as the Minimal Positional Substring Cover problem, where a query is represented by a mosaic of a minimal number of substring matches from the panel. We show that this problem can be solved by a sequential set of greedy set maximal matches. Moreover, the solution space can be bounded by the left-most and the right-most solutions by the greedy approach. Based on these results, we formulate and solve several variations of this problem. Although our results are yet to be generalized to the cases with mismatches, they offer a theoretical framework for designing methods for genotype imputation and haplotype phasing.

Indexed as

Applied computing → Computational biologyApplied computing → GeneticsHaplotype MatchingHaplotype ThreadingPBWTSubstring Cover

Identifiers

PMID42063413
PMCPMC13128095

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LicenceCC BY
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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.