Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • MIRA Question: Improving 454 assembly with RNAseq data

    Hi All,

    I’d like to do a hybrid assembly of 454 genomic sequence and illumina RNAseq data using MIRA. Unfortunately, I’m not really sure how to do an assembly with 2 different technologies AND 2 different types of data (genomic DNA from 454 and RNA from Illumina). I’m concerned that highly expressed genes will be flagged as repetitive sequence because reads from those genes will be over-represented in the sample.

    I have a draft assembly of a bacterial genome generated with 454 reads using newbler. However, when I mapped my RNAseq data to this assembly, only a very low percentage of reads mapped back to the genome. I did this previously for a different bacterial isolate, and everything worked well (>97% of reads mapped to genome generated from assembly of 454 data). However, for this latest strain, I think there is a problem with either the coverage or the assembly, so I’d like to use as much data as possible to get a better assembly.

    Does anyone have any advice on the best way to incorporate both data types into a denovo genome assembly using MIRA?

    Thanks for all your help.

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 on Modified Bases...
    Yesterday, 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, 04-11-2024, 12:08 PM
0 responses
55 views
0 likes
Last Post seqadmin  
Started by seqadmin, 04-10-2024, 10:19 PM
0 responses
51 views
0 likes
Last Post seqadmin  
Started by seqadmin, 04-10-2024, 09:21 AM
0 responses
45 views
0 likes
Last Post seqadmin  
Started by seqadmin, 04-04-2024, 09:00 AM
0 responses
55 views
0 likes
Last Post seqadmin  
Working...
X