Seqanswers Leaderboard Ad

Collapse

Announcement

Collapse
No announcement yet.
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • Similar trends from RNA-Seq values

    Hi,

    I have time-series RNA-Seq data . Both FPKM and counts values are available. Especially for the DE analysis, Counts are transformed to voomed values and all the DE-tests are performed. I would like to find out the group of genes that are having similar trend over time.

    Eg, I would like to pick the genes that are showing similar trend like GeneA

    Gene A :
    T0 T1 T2 T3 T4 T5
    10 20 30 25 10 2

    Is there any proper approach to categorize the genes .
    Any method or papers or suggestions will of great help.

  • #2
    supervised clustering

    I would suggest supervised clustering. You can input a given gene's expression pattern and the rest of the genes will be clustered by what genes show the most similar patterns.

    Class Neighbors and/or Gene Neighbors in GenePattern, http://http://www.broadinstitute.org...re/genepattern, will do what you want.

    There is also STEM,http://http://www.cs.cmu.edu/~jernst/stem/, and some publications that you can get by googling 'gene expression time series'.

    Comment


    • #3
      Originally posted by mattanswers View Post
      I would suggest supervised clustering. You can input a given gene's expression pattern and the rest of the genes will be clustered by what genes show the most similar patterns.

      Class Neighbors and/or Gene Neighbors in GenePattern, http://http://www.broadinstitute.org...re/genepattern, will do what you want.

      There is also STEM,http://http://www.cs.cmu.edu/~jernst/stem/, and some publications that you can get by googling 'gene expression time series'.
      Thank you for your suggestions and links. It is exactly what I was looking for,

      Comment

      Latest Articles

      Collapse

      • seqadmin
        Recent Advances in Sequencing Analysis Tools
        by seqadmin


        The sequencing world is rapidly changing due to declining costs, enhanced accuracies, and the advent of newer, cutting-edge instruments. Equally important to these developments are improvements in sequencing analysis, a process that converts vast amounts of raw data into a comprehensible and meaningful form. This complex task requires expertise and the right analysis tools. In this article, we highlight the progress and innovation in sequencing analysis by reviewing several of the...
        05-06-2024, 07:48 AM
      • seqadmin
        Essential Discoveries and Tools in Epitranscriptomics
        by seqadmin




        The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist...
        04-22-2024, 07:01 AM

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by seqadmin, Yesterday, 06:57 AM
      0 responses
      12 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 05-06-2024, 07:17 AM
      0 responses
      16 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 05-02-2024, 08:06 AM
      0 responses
      19 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 04-30-2024, 12:17 PM
      0 responses
      24 views
      0 likes
      Last Post seqadmin  
      Working...
      X