Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • questions on FluxSimulator

    hi all, I was playing around with the very useful tool FluxSimulator to generate simulated RNA-Seq reads. And here I have two questions.
    (1) I always got a large fraction of polyA reads (around 35%-38%), which seems too high (pleas see the bottom for the parameters I used). Then I tried to change the parameter "polyA scale" from the default 300 to 30. And I got few polyA reads. So I am a bit confused: 300 should be a reasonable value but why so many polyA reads are generated?

    (2) My second question is about calculation of the ground truth RPKM/FPKM from the simulated reads. Assume M is the total number of reads and n is the number of reads originated from a transcript t, then RPKM=(10^9*n)/(length(t)*M)? The polyA reads should be removed from the calculation. I wonder if this is the way to get the "TRUE" transcript expressions.

    Thank you!
    **********PAR file************************
    REF_FILE_NAME /Users/z/Downloads/FluxSimulator/chr1/another/another.gtf
    PRO_FILE_NAME /Users/z/Downloads/FluxSimulator/chr1/another/another.pro
    LIB_FILE_NAME /Users/z/Downloads/FluxSimulator/chr1/another/another.lib
    SEQ_FILE_NAME /Users/z/Downloads/FluxSimulator/chr1/another/another.bed
    GEN_DIR /Users/zhaohao/Downloads/FluxSimulator/chr1
    TMP_DIR /var/folders/fY/fY+RKWXZHrqzw9LIcH2+3U+++TU/-Tmp-
    NB_MOLECULES 500000
    EXPRESSION_K -0.6
    EXPRESSION_X0 5.0E7
    EXPRESSION_X1 9500.0
    TSS_MEAN 25.0
    POLYA_SHAPE 2.0
    POLYA_SCALE 30.0
    RT_MIN 500
    RT_MAX 5500
    RT_PRIMER RANDOM
    FRAGMENTATION NO
    FRAG_B4_RT NO
    FRAG_MODE PHYSICAL
    FRAG_LAMBDA 900.0
    FRAG_THRESHOLD 0.1
    FILTERING NO
    LOAD_CODING NO
    LOAD_NONCODING YES
    FILT_MIN 200
    FILT_MAX 250
    READ_NUMBER 587916
    READ_LENGTH 75
    PAIRED_END YES

Latest Articles

Collapse

  • 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
  • seqadmin
    Current Approaches to Protein Sequencing
    by seqadmin


    Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...
    04-04-2024, 04:25 PM

ad_right_rmr

Collapse

News

Collapse

Topics Statistics Last Post
Started by seqadmin, Today, 11:49 AM
0 responses
12 views
0 likes
Last Post seqadmin  
Started by seqadmin, Yesterday, 08:47 AM
0 responses
16 views
0 likes
Last Post seqadmin  
Started by seqadmin, 04-11-2024, 12:08 PM
0 responses
61 views
0 likes
Last Post seqadmin  
Started by seqadmin, 04-10-2024, 10:19 PM
0 responses
60 views
0 likes
Last Post seqadmin  
Working...
X