Evidence map›Paper›PMID 32840782›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Genome-Wide Analysis of Mitotic Recombination in Budding Yeast.

Lydia R Heasley, Nadia M V Sampaio, Juan Lucas Argueso

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. 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
0.4field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Formation of chromosomal rearrangements inbioRxiv : the preprint server for biology · 2025
    Article
  2. Review
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 at 1 institution in 1 country.

Lydia R HeasleyDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA.
Nadia M V SampaioDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA.
Juan Lucas ArguesoDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA. lucas.argueso@colostate.edu.
Colorado State University · US

Funding

MinION long-read DNA sequencer system for the analysis of structural genomic variation in yeastR35GM119788 · NIGMS · COLORADO STATE UNIVERSITY · PI ARGUESO, JUAN LUCAS · 2016 to 2025
$3.7M
NIGMS NIH HHS R35 GM119788
6 · The paper itself

Abstract

DNA break lesions pose a serious threat to the integrity of the genome. Eukaryotic cells can repair these lesions using the homologous recombination pathway that guides the repair reaction by using a homologous DNA template. The budding yeast Saccharomyces cerevisiae is an excellent model system with which to study this repair mechanism and the resulting patterns of genomic change resulting from it. In this chapter, we describe an approach that utilizes whole-genome sequencing data to support the analysis of tracts of loss-of-heterozygosity (LOH) that can arise from mitotic recombination in the context of the entire diploid yeast genome. The workflow and the discussion in this chapter are intended to enable classically trained molecular biologists and geneticists with limited experience in computational methods to conceptually understand and execute the steps of genome-wide LOH analysis as well as to adapt and apply them to their own specific studies and experimental models.

Indexed as

Recombination, GeneticChromosomes, FungalComputational BiologyLoss of HeterozygosityMitosisSaccharomyces cerevisiaeWhole Genome SequencingWorkflowLoss of heterozygositySequence read mappingSingle-nucleotide polymorphismsVariant detectionWhole-genome sequencing

Identifiers

PMID32840782
PMCPMC9097814
OpenAlexW3081194383

What OpenQuestion holds

Textmetadata
LicenceTDM
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.