Evidence map›Paper›PMID 31503417›Full record

ArticleCurrent protocols in molecular biology2019

Whole-Genome Sequencing of Yeast Cells.

Rajaraman Gopalakrishnan, Fred Winston

Open access · greenAbstract read
In one paragraph

Article in Current protocols in molecular biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Rajaraman GopalakrishnanDepartment of Genetics, Harvard Medical School, Boston, Massachusetts.
Fred WinstonDepartment of Genetics, Harvard Medical School, Boston, Massachusetts.
Harvard University · US

Funding

Analysis of the Essential Transcription Factors Spt5 and Spn1/Iws1R01GM120038 · NIGMS · HARVARD MEDICAL SCHOOL · PI WINSTON, FRED M. · 2017 to 2020
$2.0M
NIGMS NIH HHS R01 GM120038
6 · The paper itself

Abstract

The budding yeast, Saccharomyces cerevisiae, has been widely used for genetic studies of fundamental cellular functions. The isolation and analysis of yeast mutants is a commonly used and powerful technique to identify the genes that are involved in a process of interest. Furthermore, natural genetic variation among wild yeast strains has been studied for analysis of polygenic traits by quantitative trait loci mapping. Whole-genome sequencing, often combined with bulk segregant analysis, is a powerful technique that helps determine the identity of mutations causing a phenotype. Here, we describe protocols for the construction of libraries for S. cerevisiae whole-genome sequencing. We also present a bioinformatic pipeline to determine the genetic variants in a yeast strain using whole-genome sequencing data. This pipeline can also be used for analyzing Schizosaccharomyces pombe mutants. © 2019 by John Wiley & Sons, Inc. Basic Protocol 1: Generation of haploid spores for bulk segregant analysis Basic Protocol 2: Extraction of genomic DNA from yeast cells Basic Protocol 3: Shearing of genomic DNA for library preparation Basic Protocol 4: Construction and amplification of DNA libraries Support Protocol 1: Annealing oligonucleotides for forming Y-adapters Support Protocol 2: Size selection and cleanup using SPRI beads Basic Protocol 5: Identification of genomic variants from sequencing data.

Indexed as

Genome, FungalGene LibraryMolecular Sequence DataSaccharomyces cerevisiaeSchizosaccharomycesWhole Genome Sequencingbulk segregant analysisSaccharomyces cerevisiaeSchizosaccharomyces pombewhole-genome sequencing

Identifiers

PMID31503417
PMCPMC6741438
OpenAlexW2971713529

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.