Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • shunyip
    Member
    • Oct 2013
    • 20

    Convert 0123 into nucleotides from a SOLiD srf file.

    I downloaded some .srf files from GEO, which are RNA-seq data. By using the Staden Package, I was able to do the followings

    When I use srf_dump_all, the results look like this:
    Code:
    [Info]
    
    [Trace]
    VAB_ESC_A1.max2302_1929_1121_F3,1.4678048.1.50.38.3###
    
    [Header]
    7               # format
    0               # NPoints
    50              # NBases
    0               # NFlows
    0               # maxTraceVal
    0               # baseline
    0               # leftCutoff
    51              # rightCutoff
    
    [Bases]
    0 00000 +00 +00 +00 +00 #  0
    0 00001 +00 +00 +00 +00 #  1
    2 00002 +00 +00 +00 +00 #  2
    1 00003 +00 +00 +00 +00 #  3
    1 00004 +00 +00 +00 +00 #  4
    2 00005 +00 +00 +00 +00 #  5
    0 00006 +00 +00 +00 +00 #  6
    0 00007 +00 +00 +00 +00 #  7
    1 00008 +00 +00 +00 +00 #  8
    1 00009 +00 +00 +00 +00 #  9
    3 00010 +00 +00 +00 +00 # 10
    3 00011 +00 +00 +00 +00 # 11
    0 00012 +00 +00 +00 +00 # 12
    0 00013 +00 +00 +00 +00 # 13
    1 00014 +00 +00 +00 +00 # 14
    3 00015 +00 +00 +00 +00 # 15
    3 00016 +00 +00 +00 +00 # 16
    3 00017 +00 +00 +00 +00 # 17
    2 00018 +00 +00 +00 +00 # 18
    
    ...
    I understand that it probably means that there are no quality score, so I gave up on converting it into fastq.

    So, I ran it with srf2fasta, and the result looked like this:
    Code:
    >VAB_ESC_A1.max502_1581_384_F3,1.-4766655.1.46.42.2###
    01233303132002231201222021220313221233322222021122
    >VAB_ESC_A1.max1676_1611_977_F3,1.4766656.1.46.46.0###
    00203223332122313022120222102132200231303332120202
    >VAB_ESC_A1.max1901_463_960_F3,1.4766656.1.46.46.0###
    00203223332122313022120222102132200231303332120202
    >VAB_ESC_A1.max2016_1623_357_F3,1.-4766656.1.46.44.1###
    22123330313200223120122202122031322123332232202223
    >VAB_ESC_A1.max1843_1702_1379_F3,1.4766657.1.46.46.0###
    02032233321223130221202221021322002313033321202020
    >VAB_ESC_A1.max1849_392_964_F3,1.4766658.1.44.44.0###
    20322333212231302212022210213220023130333212220202
    ...
    Now, I am wondering what do 0,1,2,3 represent.
    In other words, does 0 mean A,C,G or T? and also does 1 mean A,C,G or T? and etc

    Thank you for your help,
    Ken
  • mbblack
    Senior Member
    • Aug 2009
    • 245

    #2
    You need to use abi-dump (see the NCBI documentation for the SRA tools) if you wish to properly convert srf files into color space read (csfasta files) and associated color space quality scores (csqual files).

    You want to keep those files in color space if you plan to do anything with them.

    Literally, a 0 means a blue color space read, a 1 means a green, a 3 means a yellow and a 4 means a red

    see http://seqanswers.com/forums/showthread.php?t=10 for details on ABI color space sequence reads

    You can also look at https://www.biostars.org/p/43855/ to explain SOLiD color coding in read files.
    Last edited by mbblack; 08-08-2014, 08:14 AM.
    Michael Black, Ph.D.
    ScitoVation LLC. RTP, N.C.

    Comment

    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, 07-24-2026, 12:17 PM
    0 responses
    21 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-23-2026, 11:41 AM
    0 responses
    19 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-20-2026, 11:10 AM
    0 responses
    26 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-13-2026, 10:26 AM
    0 responses
    38 views
    0 reactions
    Last Post SEQadmin2  
    Working...