Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • Tophat2 chose a match with a deletion over one without

    I'm a bit mystified by Tophat's (v2.1.0) choice of alignment in a case where I've got two similar genomes placed end to end (B73 and W22 maize) and I'm trying to map reads from a mixed (or non-mixed in this case) sample to their originating genome.

    So this case came up, where Tophat chose to assign a read to the B73 chromosome, even though it has an deletion in that case, while the same read maps to the corresponding W22 chromosome perfectly, without the deletion. Here's the BLAST comparison: "Chr2" is W22 chromosome 2, "2" is B73 chromosome 2. W22/Chr2 matches 100%, without gaps (e=1e-45); B73/2 has one gap (e=5e-44).

    Code:
    BLASTN 2.2.31+
    
    Reference: Zheng Zhang, Scott Schwartz, Lukas Wagner, and Webb
    Miller (2000), "A greedy algorithm for aligning DNA sequences", J
    Comput Biol 2000; 7(1-2):203-14.
    
    Database: B73v3.W22v3.genome.fa
               24 sequences; 4,458,629,333 total letters
    
    Query= DB775P1:321:C4J4FACXX:7:1304:6219:16563
    
    Length=101
                                                                          Score     E
    Sequences producing significant alignments:                          (Bits)  Value
    
      Chr2                                                                187     1e-45
      2 dna:chromosome chromosome:AGPv3:2:1:237917468:1                   182     5e-44
    
    > Chr2
    Length=251269698
    
     Score = 187 bits (101),  Expect = 1e-45
     Identities = 101/101 (100%), Gaps = 0/101 (0%)
     Strand=Plus/Plus
    
    Query  1          ACATAGTGCACCGATCACTGTTCTACTAGTATGGGCAGTAGAAGCAAAATGGTGGCGCGG  60
                      ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
    Sbjct  250221315  ACATAGTGCACCGATCACTGTTCTACTAGTATGGGCAGTAGAAGCAAAATGGTGGCGCGG  250221374
    
    Query  61         TCGCTTCTTTTCATGTTGACATCACATCCTGGAGTAGCCCT  101
                      |||||||||||||||||||||||||||||||||||||||||
    Sbjct  250221375  TCGCTTCTTTTCATGTTGACATCACATCCTGGAGTAGCCCT  250221415
    
    
    > 2 dna:chromosome chromosome:AGPv3:2:1:237917468:1
    Length=237917468
    
     Score = 182 bits (98),  Expect = 5e-44
     Identities = 101/102 (99%), Gaps = 1/102 (1%)
     Strand=Plus/Plus
    
    Query  1          ACATAGTGCACCGATCACTG-TTCTACTAGTATGGGCAGTAGAAGCAAAATGGTGGCGCG  59
                      |||||||||||||||||||| |||||||||||||||||||||||||||||||||||||||
    Sbjct  236204183  ACATAGTGCACCGATCACTGTTTCTACTAGTATGGGCAGTAGAAGCAAAATGGTGGCGCG  236204242
    
    Query  60         GTCGCTTCTTTTCATGTTGACATCACATCCTGGAGTAGCCCT  101
                      ||||||||||||||||||||||||||||||||||||||||||
    Sbjct  236204243  GTCGCTTCTTTTCATGTTGACATCACATCCTGGAGTAGCCCT  236204284
    
    Lambda      K        H
        1.33    0.621     1.12 
    
    Gapped
    Lambda      K        H
        1.28    0.460    0.850 
    
    Effective search space used: 325479892253
    
      Database: B73v3.W22v3.genome.fa
        Posted date:  Apr 30, 2016  9:09 AM
      Number of letters in database: 4,458,629,333
      Number of sequences in database:  24
    
    Matrix: blastn matrix 1 -2
    Gap Penalties: Existence: 0, Extension: 2.5
    The Tophat parameters are -g 1 -M -N 0 to enforce the choice of a single, perfect match. But Tophat should have chosen the W22 locus, not the B73 locus in this case.

    Any ideas why it chose the non-perfect match???
    Sam Hokin
    Computational Scientist, Carnegie and NCGR

Latest Articles

Collapse

  • 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
  • seqadmin
    Current Approaches to Protein Sequencing
    by seqadmin


    Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...
    04-04-2024, 04:25 PM

ad_right_rmr

Collapse

News

Collapse

Topics Statistics Last Post
Started by seqadmin, Yesterday, 11:49 AM
0 responses
15 views
0 likes
Last Post seqadmin  
Started by seqadmin, 04-24-2024, 08:47 AM
0 responses
16 views
0 likes
Last Post seqadmin  
Started by seqadmin, 04-11-2024, 12:08 PM
0 responses
61 views
0 likes
Last Post seqadmin  
Started by seqadmin, 04-10-2024, 10:19 PM
0 responses
60 views
0 likes
Last Post seqadmin  
Working...
X