Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • ramadatta.88
    Junior Member
    • Sep 2011
    • 7

    #1

    query: obtaining SE and PE files from fastq

    Hi all, I am a bit new to assembling stuff. Please spare me and answers even if my questions looks a bit silly.

    I obtained an .SRA file ( 200bp PE Illumina reads ) from NCBI traces archive. Using sratoolkit it is converted to fastq format.

    (fastq) It looks like this:

    @SRR018008.1 307AEAAXX:4:1:1591:659 length=84
    GATTTTGAAGGCATATCTTGAAGATGGTGCAGCATCCGAGGTAAGAGACGGGTGAAGCATGGAGCAGAGCGTCAGCAGATGGTG
    +SRR018008.1 307AEAAXX:4:1:1591:659 length=84
    IIIIIIIIIIIIIIIIIIII?=IIII;IGBI,<:I8:2/5+8IIIIIIIIIIIIIIII:?ID,ID3I1<8C,4:6-.5-+)3(9
    @SRR018008.2 307AEAAXX:4:1:1593:693 length=84
    GAATTGGCAATCGTCCAATCGTCCAAACGTCCAGAGAGCCGCATAATTACCCGTCACGAATTTCTCTGCTTTGCAGCCGAGCAA
    +SRR018008.2 307AEAAXX:4:1:1593:693 length=84
    IIIIIIIIIIIIIIIII;II-III0//IH0/;3726,9&5/57IIIIIIIIII,IIIIIBI8A>?)II:AI56;1910056$(%
    @SRR018008.3 307AEAAXX:4:1:1672:656 length=84
    GGTAGACTTAGTGAATGAACGAAGGGTATCAAAAGATGGAGTCTGCCACCGGCTCGCTGCTCACATCGGAGACCAGCCTGAGCA
    +SRR018008.3 307AEAAXX:4:1:1672:656 length=84
    IIIIIIIIIIIIIIIIIIEII==IIIH?IIE25-I:G=+5/,IIIIIIIIIIBHI/I490B447-,0-6)90*-%+(('+%*'&


    Now my questions are:

    1.After conversion SRA-> fastq i obtained only 1 file with read length =84 as shown above. Is it a Single End read (SE) file? If so how can i convert a paired end (PE) file?

    2. Is the length=84 present in the file is obtained due to trimming of the ends 100-(8+8) ? if not what does length=84 means?

    3. This is bit unrelated to above content:
    what is the difference between
    a)./velveth sillyDirectory 21 -short data/test_reads.fa
    b)./velveth sillyDirectory 21 -short data/test_reads.fa -long data/test_long.fa

    Please kindly help me understanding basic concepts. Would be grateful to your answer.
  • swbarnes2
    Senior Member
    • May 2008
    • 910

    #2
    If the data's really single end, you can't convert it to paired end. So you can look at the study that generated the data, and see if they really ran a paired end experiment. If the data's really paired end, but the data's been catted together somehow, you can tell from the names of the reads. You should, for instance, have two different reads with "307AEAAXX:4:1:1591:659" in the name. So grep all your fastqs to see how many times that name pops up. If it only comes up with one read, then it's single end data.

    And your reads really are 84 bases long, that's probably why the length says they are 84.

    I believe the second velvet command is for the inclusion of Illumina-type data and sanger data together in the assembly of genomes. If you only have Illumina data, that's short reads.

    Comment

    • ramadatta.88
      Junior Member
      • Sep 2011
      • 7

      #3
      thank you swbarnes2.

      Yeah. I can see two '307AEAAXX:4:1:1591:659' patterns from the file. I can understand it is PE data file.

      But, why did the length reduce to 84 in forward ,84 in reverse reads (as shown in previous post), which has been termed 200 bp illumina reads? Is the Read trimmed ? If not Please kindly help me knowing.


      Thank you.

      Comment

      • gringer
        David Eccles (gringer)
        • May 2011
        • 845

        #4
        The 200bp is probably the total length of each DNA fragment, from which only 84bp of each end have been sequenced:
        Code:
        FFFFFFFFFFFFFFFFFFFFFFFFXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
        XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXRRRRRRRRRRRRRRRRRRRRRRRR
          [->forward sequence]    [insert]   [reverse sequence<-]
        It's also possible that there's a 200bp insert, rather than 200bp fragment length.

        Comment

        Latest Articles

        Collapse

        • SEQadmin2
          Beyond CRISPR/Cas9: Understand, Choose, and Use the Right Genome Editing Tool
          by SEQadmin2



          CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).

          Despite this, “CRISPR helped turn genome editing from a specialized technique into
          ...
          07-31-2026, 11:01 AM
        • 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

        ad_right_rmr

        Collapse

        News

        Collapse

        Topics Statistics Last Post
        Started by SEQadmin2, Today, 10:35 AM
        0 responses
        7 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 08-06-2026, 07:41 AM
        0 responses
        24 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 08-03-2026, 10:13 AM
        0 responses
        42 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 07-31-2026, 02:55 AM
        0 responses
        47 views
        0 reactions
        Last Post SEQadmin2  
        Working...