Searching journal content for articles similar to Skelly et al. 23 (9): 1496.

Displaying results 1-10 of 12
For checked items
  1. Method: High-resolution genotype-free mapping of genetic variation with CRI-SPA-Map
    • Sheila Lutz,
    • Megan Lawler,
    • Samuel Amidon,
    • and Frank W Albert
    Genome Res. March 23, 2026 gr.281514.125; Published in Advance March 23, 2026, doi:10.1101/gr.281514.125
    ...differences is costly and challenging. Here, we introduce CRI-15 SPA-Map, a genetic mapping strategy combining CRISPR-Cas9 engineering, selective 16 ploidy ablation (SPA), and high-throughput phenotyping for precise genetic mapping with or 17 without genotyping in the yeast Saccharomyces cerevisiae. In CRI...
    OPEN ACCESS ARTICLEACCEPTED MANUSCRIPT
  2. Research: Evolution at two levels of gene expression in yeast
    • Carlo G. Artieri and
    • Hunter B. Fraser
    Genome Res. March 2014 24: 411-421; Published in Advance December 6, 2013, doi:10.1101/gr.165522.113
    ...quantitative information about the translational states of all transcripts. Riboprofiling has revealed that relative translational rates vary across the transcriptome by ;100-fold in the budding yeast Saccharomyces cerevisiae, contributing substantially to the dynamic range of expression (Ingolia et al. 2009...
  3. Resource: The 100-genomes strains, an S. cerevisiae resource that illuminates its natural phenotypic and genotypic variation and emergence as an opportunistic pathogen
    • Pooja K. Strope,
    • Daniel A. Skelly,
    • Stanislav G. Kozmin,
    • Gayathri Mahadevan,
    • Eric A. Stone,
    • Paul M. Magwene,
    • Fred S. Dietrich,
    • and John H. McCusker
    Genome Res. May 2015 25: 762-774; Published in Advance April 3, 2015, doi:10.1101/gr.185538.114
    ...yeast strains. Phenotypic differentiation between strains varying in population ancestry In 99 of the 100-s strains (excluding the single Malaysian population strain), we tested for phenotypic differences associated with strains with different population ancestries. Of 49 phenotypes, eight showed...
  4. Method: Detecting differential growth of microbial populations with Gaussian process regression
    • Peter D. Tonner,
    • Cynthia L. Darnell,
    • Barbara E. Engelhardt,
    • and Amy K. Schmid
    Genome Res. February 2017 27: 320-333; Published in Advance November 18, 2016, doi:10.1101/gr.210286.116
    ...Halobacterium salinarum . For yeast, our method correctly identifies known phenotypes for a diversity of genetic backgrounds under cyclohexamide stress and also detects previously unidentified oxidative stress sensitivity across a subset of strains. Together, these results demonstrate that the GP models...
    OPEN ACCESS ARTICLE
  5. Research: Heritability and genetic basis of protein level variation in an outbred population
    • Leopold Parts,
    • Yi-Chun Liu,
    • Manu M. Tekkedil,
    • Lars M. Steinmetz,
    • Amy A. Caudy,
    • Andrew G. Fraser,
    • Charles Boone,
    • Brenda J. Andrews,
    • and Adam P. Rosebrock
    Genome Res. August 2014 24: 1363-1370; Published in Advance May 13, 2014, doi:10.1101/gr.170506.113
    ..., et al. 2013. Integrative phenomics reveals insight into the structure of phenotypic diversity in budding yeast. Genome Res 23: 1496–1504. Smith EN, Kruglyak L. 2008. Gene-environment interaction in yeast gene expression. PLoS Biol 6: e83. Stoter M, Niederlein A, Barsacchi R, Meyenhofer F, Brandl H...
  6. Method: Predicting genetic modifier loci using functional gene networks
    • Insuk Lee,
    • Ben Lehner,
    • Tanya Vavouri,
    • Junha Shin,
    • Andrew G. Fraser,
    • and Edward M. Marcotte
    Genome Res. August 2010 20: 1143-1153; Published in Advance June 9, 2010, doi:10.1101/gr.102749.109
    ...is too vast. One approach to resolve this is to predict candidate modifier interactions between loci, and then to specifically test these for associations with the phenotype. Here, we describe a general method for predicting genetic interactions based on the use of integrated functional gene networks. We...
  7. RECOMB Special/Review: Protein networks in disease
    • Trey Ideker and
    • Roded Sharan
    Genome Res. April 2008 18: 644-652; doi:10.1101/gr.071852.107
    ...). Finally, there is a rich yeast literature on methods for integrating gene-expression data with molecular networks and pathways, with the goal of identifying network “hot spots” or “expression-activated modules” ( Zien et al. 2000 ; Ge et al. 2001 ; Ideker et al. 2001 , 2002 ; Hanisch et al. 2002...
    OPEN ACCESS ARTICLE
  8. LETTER: Molecular Correlates of Genes Exhibiting RNAi Phenotypes in Caenorhabditis elegans
    • Asher D. Cutter,
    • Bret A. Payseur,
    • Tovah Salcedo,
    • Anne M. Estes,
    • Jeffrey M. Good,
    • Elizabeth Wood,
    • Thomas Hartl,
    • Heather Maughan,
    • Jannine Strempel,
    • Baomin Wang,
    • Anthony C. Bryan,
    • and Melissa Dellos
    Genome Res. December 2003 13: 2651-2657; doi:10.1101/gr.1659203
    ...Caenorhabditis elegans ( Kamath et al. 2003 ) and in the budding yeast Saccharomyces cerevisiae ( Winzeler et al. 1999 ), placing genes into broad functional classes (e.g., fecundity, viability, morphology). These resources for functional information make it feasible to couple phenotypic categorizations...
  9. Research: Hydra has mammal-like mutation rates facilitating fast adaptation despite its nonaging phenotype
    • Arne Sahm,
    • Konstantin Riege,
    • Marco Groth,
    • Martin Bens,
    • Johann Kraus,
    • Martin Fischer,
    • Hans Kestler,
    • Christoph Englert,
    • Ralf Schaible,
    • Matthias Platzer,
    • and Steve Hoffmann
    Genome Res. December 2024 34: 2217-2228; Published in Advance December 4, 2024, doi:10.1101/gr.279025.124
    ...to prevent accumulation of damage in the mother, Hydra cells damaged by mutations may be transmitted via budding to the offspring.In conclusion, the presented first insights into the evolutionary forces that shape the of the nonsenescent H. magnipapillata strain 105 excluded that its exceptional longevity...
    OPEN ACCESS ARTICLE
  10. Research: Genomic analyses provide insights into peach local adaptation and responses to climate change
    • Yong Li,
    • Ke Cao,
    • Nan Li,
    • Gengrui Zhu,
    • Weichao Fang,
    • Changwen Chen,
    • Xinwei Wang,
    • Jian Guo,
    • Qi Wang,
    • Tiyu Ding,
    • Jiao Wang,
    • Liping Guan,
    • Junxiu Wang,
    • Kuozhan Liu,
    • Wenwu Guo,
    • Pere Arús,
    • Sanwen Huang,
    • Zhangjun Fei,
    • and Lirong Wang
    Genome Res. April 2021 31: 592-606; Published in Advance March 9, 2021, doi:10.1101/gr.261032.120
    ...hardiness, sugar content, flesh color, and bloom date were revealed. Finally, based on 30 yr of observation, a candidate gene associated with bloom date advance, representing peach responses to global warming, was identified. Collectively, our study provides insights into molecular bases of how environments...
    OPEN ACCESS ARTICLE
For checked items

Search Results

Next 2 » New Search

Modify Results

Citation format:
Results / page:
Results order:

This search

  • Alert me when new articles matching this search are published
  • Download all citations on this page to my citation manager

Preprint Server



Current Issue

  1. March 2026, 36 (3)
  1. Current Issue
  1. Alert me to new issues of Genome Research