Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • 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

  • #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

    • 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...
      Today, 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, Today, 07:17 AM
    0 responses
    11 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
    20 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 04-29-2024, 10:49 AM
    0 responses
    28 views
    0 likes
    Last Post seqadmin  
    Working...
    X