Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • ekek
    Junior Member
    • Aug 2013
    • 1

    #1

    Need Help With Cufflinks Bug For RNA Seq (Bovine Genome)

    hi,
    I need some help with RNA Seq transcriptome assembly using cufflinks v2.1.1 with bovine genome (using deer RNA).
    I ran the following and encountered errors listed below.
    It appears that some assembled sequences map longer than the reference genome.
    I used RNASTAR to run the alignment and have checked that my reads do not align longer than the reference genome so this may be a cufflinks bug.
    I think I may be able to get around it by replacing the softclips with the following command: samtools view -h Aligned.out.bam | awk 'BEGIN {OFS="\t"} {if (substr($1,1,1)!="@") {gsub(/[0-9]*S/,"",$6); $10=$11="*"}; print }' | samtools view -bS - > Aligned.out.noS.bam
    However, I would like to ask if there any other recommended suggestions for fixing this?
    thank you.
    kdfe

    /usr/bin/time -v cufflinks \
    -p 8 \
    -N \
    -u \
    -q \
    --max-bundle-length 15000000 \
    --mask-file bosTau7_rRNAtRNAChrM.gtf \
    -b bosTau7.fa \
    -g bosTau7refFlat \
    -o /Tube01/ \
    /Aligned.out.bam

    $ You are using Cufflinks v2.1.1, which is the most recent release.
    Command line:
    [13:35:40] Loading reference annotation.
    [13:35:42] Loading reference annotation.
    [13:35:42] Inspecting reads and determining fragment length distribution.
    Processed 66538 loci.
    > Map Properties:
    > Normalized Map Mass: 24789887.85
    > Raw Map Mass: 24789887.85
    > Number of Multi-Reads: 1911419 (with 4880055 total hits)
    > Fragment Length Distribution: Empirical (learned)
    > Estimated Mean: 198.31
    > Estimated Std Dev: 56.61
    [13:44:37] Assembling transcripts and initializing abundances for multi-read correction.
    []$ Processed 66538 loci.
    [19:00:43] Loading reference annotation and sequence.
    Error (GFaSeqGet): end coordinate (42748) cannot be larger than sequence length 42715
    Error (GFaSeqGet): end coordinate (18544) cannot be larger than sequence length 18532
    Error (GFaSeqGet): end coordinate (12842) cannot be larger than sequence length 12841
    Error (GFaSeqGet): end coordinate (8427) cannot be larger than sequence length 8418
    Error (GFaSeqGet): subsequence cannot be larger than 10788
    Error getting subseq for CUFF.49431.3 (1..10799)!
    Command exited with non-zero status 1
    Command being timed:
    User time (seconds): 144650.42
    System time (seconds): 769.22
    Percent of CPU this job got: 743%
    Elapsed (wall clock) time (h:mm:ss or m:ss): 5:26:09
    Average shared text size (kbytes): 0
    Average unshared data size (kbytes): 0
    Average stack size (kbytes): 0
    Average total size (kbytes): 0
    Maximum resident set size (kbytes): 17234208
    Average resident set size (kbytes): 0
    Major (requiring I/O) page faults: 7
    Minor (reclaiming a frame) page faults: 149060165
    Voluntary context switches: 5421678
    Involuntary context switches: 4297120
    Swaps: 0
    File system inputs: 13767472
    File system outputs: 331264
    Socket messages sent: 0
    Socket messages received: 0
    Signals delivered: 0
    Page size (bytes): 4096
    Exit status: 1

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, 08-06-2026, 07:41 AM
0 responses
23 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 08-03-2026, 10:13 AM
0 responses
37 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-31-2026, 02:55 AM
0 responses
43 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-24-2026, 12:17 PM
0 responses
26 views
0 reactions
Last Post SEQadmin2  
Working...