Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • Bowtie mapping error on color space data [Read is less than 4 charact?]

    Hi,

    I am using bowtie-0.12.7 to map genomic sequencing data of NCI-H209 cell line into human hg19 genome. The data is from this paper, and the color space .csfasta file is like that:

    # Title: S0020_20080602_1_2_3kb_4_
    >1_65_78_F3
    T0110200122031310012203232
    >1_65_110_F3
    T0300212221202330222130212
    >1_65_167_F3
    T0300010011322223223000011
    >1_65_188_F3
    T0100000032100011213033102
    >1_65_305_F3
    T0200012011300201011021211
    >1_65_560_F3
    T0110310212122001103001112
    >1_65_621_F3
    T3032102121011220311021112
    And the setting I use is as following:
    Code:
    bowtie-0.12.7/bowtie -f -p 8 -S -v 2 -m 1 -t hg19_c -C sample.csfasta sample.sam >> sample.log 2>&1
    After aligning ~4E8 reads, which is about 1/3 of total reads, bowtie report an error below:
    Error: Read (1_122_1720_F3) is less than 4 characters long
    terminate called after throwing an instance of 'int'
    Aborted
    But when I look into the csfasta file, that read is intact with 25bp
    >1_122_1605_F3
    T0000230330110303213113211
    >1_122_1666_F3
    T0030121112113303000031132
    >1_122_1720_F3
    T3021210332111212021021211

    >1_122_1796_F3
    T0201302031033230230331311
    >1_122_1832_F3
    T0023102022001211001001111
    Does anyone know what might be the reason for this problem and how to fix it?

    Thanks in advance!

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...
    05-06-2024, 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, 05-10-2024, 06:35 AM
0 responses
20 views
0 likes
Last Post seqadmin  
Started by seqadmin, 05-09-2024, 02:46 PM
0 responses
25 views
0 likes
Last Post seqadmin  
Started by seqadmin, 05-07-2024, 06:57 AM
0 responses
21 views
0 likes
Last Post seqadmin  
Started by seqadmin, 05-06-2024, 07:17 AM
0 responses
21 views
0 likes
Last Post seqadmin  
Working...
X