Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • yy01
    Junior Member
    • Sep 2010
    • 4

    #1

    Issues in running sff_extract

    Hi, all,

    I encountered an error when running sff_extract to convert an sff file (~1.5GB) to fasta, fasta.qual and xml. The error message is:

    File "/usr/local/bin/sff_extract", line 1505, in ?
    sys.exit(main())
    File "/usr/local/bin/sff_extract", line 1492, in main
    extract_reads_from_sff(config, args)
    File "/usr/local/bin/sff_extract", line 1041, in extract_reads_from_sff
    for seq_data in sequences(fileh=sff_fh, header=header_data):
    File "/usr/local/bin/sff_extract", line 255, in sequences
    fposition=fposition)
    File "/usr/local/bin/sff_extract", line 184, in read_sequence
    data=data, byte_padding=8)
    File "/usr/local/bin/sff_extract", line 74, in read_bin_fragment
    read = struct.unpack('>' + item[1], buffer)
    MemoryError

    Please, anyone knows what caused the error, and how to solve the issue?
    Thanks!
  • maubp
    Peter (Biopython etc)
    • Jul 2009
    • 1544

    #2
    My guess is the SFF file is corrupted. Try downloading it again from the sequencing center.

    Have you tried looking at the SFF file with any other tools? e.g. The Roche software, or Biopython?

    Comment

    • yy01
      Junior Member
      • Sep 2010
      • 4

      #3
      You are right, maubp. I checked the sff file via Biopython, and it seems to be a corrupted one.
      Thanks!

      Comment

      • maubp
        Peter (Biopython etc)
        • Jul 2009
        • 1544

        #4
        The Biopython SFF code was originally based on Jose's sff_extract but reworked quite a bit - I'd hope it gave a more helpful error message. Does Bio.SeqIO.index() work on it? If so you may be able to recover most of the reads.

        Alternatively, if you can't solve the problem by redownloading the file (which I strongly recommend trying!), you might try frecover from flower - it claims to be able to be able to recover corrupted SFF files. I've not tried it myself (maybe I have been lucky with my SFF files?)

        Comment

        Latest Articles

        Collapse

        • kinpict.com
          Reply to 16S/ITS Profiling vs. Shotgun Metagenomics: What Changes in Your Workflow?
          by kinpict.com
          The part about this topic feels surprisingly grounded, and the details on the page is the bit that made me slow down. I’d keep <a href="https://kinpict.com/">ai family photo generator</a> bookmarked for later.
          Today, 06:37 PM
        • SEQadmin2
          16S/ITS Profiling vs. Shotgun Metagenomics: What Changes in Your Workflow?
          by SEQadmin2





          NGS has revolutionized clinical microbiology by offering new ways to identify and surveil pathogens without prior knowledge of the target. One popular approach is 16S rRNA and ITS amplicon sequencing, which targets specific microbial markers. But studies are increasingly incorporating shotgun metagenomics, a technique that sequences all DNA from a sample without targeting specific microbial markers. This approach allows more detailed taxonomic classification,...
          10-30-2026, 06:46 AM

        ad_right_rmr

        Collapse

        News

        Collapse

        Topics Statistics Last Post
        Started by SEQadmin2, 11-12-2026, 07:59 AM
        0 responses
        27 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 11-05-2026, 09:25 AM
        0 responses
        35 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 11-03-2026, 11:54 AM
        2 responses
        56 views
        0 reactions
        Last Post kinpict.com  
        Started by SEQadmin2, 10-28-2026, 09:57 AM
        0 responses
        175 views
        0 reactions
        Last Post SEQadmin2  
        Working...