Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • tfh4
    Junior Member
    • Feb 2017
    • 4

    Custom Yeast Genomic 70-mer Oligonucleotide Microarray chip NCBI GEO dataset?

    How to extract the numerical values for plotting time series curves for this Custom Yeast Genomic 70-mer Oligonucleotide Microarray chip NCBI GEO dataset?
    How to extract the numerical expression values for plotting time series curves for this Custom Yeast Genomic 70-mer Oligonucleotide Microarray NCBI GEO dataset?
    I would like to plot the mRNA expression time series curves based on the data of the following NcBI GEO dataset.
    Series GSE3705
    The title of this dataset is:
    JM43 cells grown aerobically in galactose and treated with Antimycin A
    The URL of this dataset is:
    NCBI's Gene Expression Omnibus (GEO) is a public archive and resource for gene expression data.

    The citation of the publication, which goes along with this dataset, is:
    Lai LC, Kissinger MT, Burke PV, Kwast KE. Comparison of the transcriptomic "stress response" evoked by antimycin A and oxygen deprivation in Saccharomyces cerevisiae. BMC Genomics 2008 Dec 23;9:627. PMID: 19105839.
    This publication is free available at https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2637875/
    My problem is that the platform is

    GPL1535 Custom Yeast Genomic 70-mer Oligonucleotide Microarray
    What do I need to do to extract the numerical gene expression values from this dataset, which are most meaningful for plotting time series curves?
    Thanks a lot
    Thomas

Latest Articles

Collapse

  • SEQadmin2
    Proteomic Platforms: How to Choose the Right Analytical Strategy to Improve Detection and Clinical Applications
    by SEQadmin2


    Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.

    The systematic characterization of the human proteome has
    ...
    07-20-2026, 11:48 AM
  • SEQadmin2
    Advanced Sequencing Platforms Tackle Neuroscience’s Toughest Genomics Problems
    by SEQadmin2



    Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
    ...
    07-09-2026, 11:10 AM
  • SEQadmin2
    Cancer Drug Resistance: The Lingering Barrier to Rising Survival
    by SEQadmin2



    Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.

    There is no single reason why many patients don’t respond to treatment as expected. Cancer is...
    07-08-2026, 05:17 AM

ad_right_rmr

Collapse

News

Collapse

Topics Statistics Last Post
Started by SEQadmin2, Today, 12:17 PM
0 responses
10 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, Yesterday, 11:41 AM
0 responses
11 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-20-2026, 11:10 AM
0 responses
23 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-13-2026, 10:26 AM
0 responses
37 views
0 reactions
Last Post SEQadmin2  
Working...