Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • Find SNPs in related strains

    Hello everyone,

    I am extremely new at bioinformatics, genome sequencing and working with the output data, so please excuse any naive questions (I also just leanred working in Linux for samtools/bcftools).
    Our lab has recently sequenced the genome of a laboratory strain from which the type strain genome is known. The genome was sequenced using illumina and output was already processed for us using the DRAGEN pipeline.
    I have received all output from the sequencing, including .bam and .vcf files. I am starting to figure out what these files are, what kind of information they contain and how to work with them (yes, I am still at this level, sorry )

    Our end goal here is to first of all have a complete consensus sequence of the genome of our lab strain. Secondly, we would like to identify SNPs and identify their position compared to the annotated genome of our reference strain.

    I have already been able to use IGV, input the genome of our reference strain and import the vcf file to find the SNPs. I know there are 60 SNPs/indels. Is there some "easy" automated way to get a list of all variations without me having to scroll through the IGV and going over them one by one?
    I also tried using bcftools to get a consensus sequence using the a reference .fasta and the .bam file from the sequencing, but I get a sequence that is much smaller than my genome. I followed this guide: http://samtools.github.io/bcftools/h...-sequence.html

    Is there an easy basic guide that could first of all explain the file formats, where they come from and how they are connected to eachother? I think understanding this would get me started using samtools/bcftools more easily, since its tutorials assume knowledge about these things. Other nice information sources concerning my problems and goals are always welcome.

Latest Articles

Collapse

  • seqadmin
    Best Practices for Single-Cell Sequencing Analysis
    by seqadmin



    While isolating and preparing single cells for sequencing was historically the bottleneck, recent technological advancements have shifted the challenge to data analysis. This highlights the rapidly evolving nature of single-cell sequencing. The inherent complexity of single-cell analysis has intensified with the surge in data volume and the incorporation of diverse and more complex datasets. This article explores the challenges in analysis, examines common pitfalls, offers...
    06-06-2024, 07:15 AM
  • seqadmin
    Latest Developments in Precision Medicine
    by seqadmin



    Technological advances have led to drastic improvements in the field of precision medicine, enabling more personalized approaches to treatment. This article explores four leading groups that are overcoming many of the challenges of genomic profiling and precision medicine through their innovative platforms and technologies.

    Somatic Genomics
    “We have such a tremendous amount of genetic diversity that exists within each of us, and not just between us as individuals,”...
    05-24-2024, 01:16 PM

ad_right_rmr

Collapse

News

Collapse

Topics Statistics Last Post
Started by seqadmin, Yesterday, 06:58 AM
0 responses
13 views
0 likes
Last Post seqadmin  
Started by seqadmin, 06-06-2024, 08:18 AM
0 responses
20 views
0 likes
Last Post seqadmin  
Started by seqadmin, 06-06-2024, 08:04 AM
0 responses
18 views
0 likes
Last Post seqadmin  
Started by seqadmin, 06-03-2024, 06:55 AM
0 responses
13 views
0 likes
Last Post seqadmin  
Working...
X