Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • AP38
    Member
    • May 2016
    • 14

    #1

    Empty VCF file with bcftools call

    Hello,

    I am trying to produce a vcf file using bcftools call but it produces an empty vcf file containing only the header. In short, here is what I do:

    1. Alignment with BWA
    2. With samtools, make sorted.bam files
    3. With samtools, index the sorted.bam files
    4. Run samtools mpileup in the following way:
    samtools mpileup -C 50 -E -t SP -t DP -u -I –f /genome/refgenome.fa -b bam_list.txt > output.bcf
    5. Run bcftools call:
    bcftools call -v -c output.bcf > output.vcf

    I am using versions 1.3.1 of samtools, bcftools and htslib. I tried reinstalling these programs but it did not change the issue. I also tried with versions 1.2. Same problem. As far as I know, the bcf file seems fine, it contains lots of data and is 20GB.

    I tried producing a basic vcf file using bcftools view: bcftools view output.cf > output.vcf and it works. The vcf file seems completely normal.

    Could anyone help me with this? Why would bcftools call produce an empty output?

    Thanks
  • GenoMax
    Senior Member
    • Feb 2008
    • 7142

    #2
    For reference cross-posted: https://www.biostars.org/p/189996

    Comment

    • AP38
      Member
      • May 2016
      • 14

      #3
      Thanks, yes I also asked the question on biostars as it may hit more people. If it's not appropriate to cross post, I will remove it from seqanswers.

      Comment

      • GenoMax
        Senior Member
        • Feb 2008
        • 7142

        #4
        Originally posted by AP38 View Post
        Thanks, yes I also asked the question on biostars as it may hit more people. If it's not appropriate to cross post, I will remove it from seqanswers.
        It is ok to cross-post on SeqAnswers. I included a link to your post on Biostars for reference.

        If you get an answer over @Biostars then please come back and indicate that here.

        Comment

        • SNPsaurus
          Registered Vendor
          • May 2013
          • 525

          #5
          Shouldn't you have the -g option with mpileup to compute genotype likelihoods?
          Providing nextRAD genotyping and PacBio sequencing services. http://snpsaurus.com

          Comment

          • AP38
            Member
            • May 2016
            • 14

            #6
            Yes indeed, if one wants to compute genotype likelihoods, the -g option is required. However, this should not help solve the problem and make a difference.

            Comment

            • SNPsaurus
              Registered Vendor
              • May 2013
              • 525

              #7
              Sorry... don't know what I was thinking!

              I tried your commands one a recent project and it also gave a header-only vcf file.

              This minimal pipeline worked fine and produced a normal vcf from the same data:
              mpileup -gu -Q 10 -t DP,DPR -f ref.fasta -b samples.txt | bcftools call -cv - > test.vcf
              (it also worked without the -g!)

              So from that I would conclude it is not a problem with your versions, file list or reference.

              When I generate a bcf file using the minimal pipeline, it reports the reference allele. Your mpileup does not for some reason.
              Last edited by SNPsaurus; 05-05-2016, 10:35 AM.
              Providing nextRAD genotyping and PacBio sequencing services. http://snpsaurus.com

              Comment

              • AP38
                Member
                • May 2016
                • 14

                #8
                Thanks! This is very good to know. It is possible that the -C 50 option is causing the issue because it downgrades mapping quality for excessive mismatches. I am working here with libraries of fairly small coverage so I might want to remove that option. I'll try that and stay in touch about the results.

                Comment

                • AP38
                  Member
                  • May 2016
                  • 14

                  #9
                  For some reasons, an empty line was added at the bottom of the index genome file. Removing it solved the problem…

                  Comment

                  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
                  • SEQadmin2
                    Advanced Sequencing Platforms Tackle Neuroscience’s Toughest Genomics Problems
                    by SEQadmin2



                    Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
                    ...
                    07-09-2026, 11:10 AM

                  ad_right_rmr

                  Collapse

                  News

                  Collapse

                  Topics Statistics Last Post
                  Started by SEQadmin2, Yesterday, 07:41 AM
                  0 responses
                  11 views
                  0 reactions
                  Last Post SEQadmin2  
                  Started by SEQadmin2, 08-03-2026, 10:13 AM
                  0 responses
                  25 views
                  0 reactions
                  Last Post SEQadmin2  
                  Started by SEQadmin2, 07-31-2026, 02:55 AM
                  0 responses
                  38 views
                  0 reactions
                  Last Post SEQadmin2  
                  Started by SEQadmin2, 07-24-2026, 12:17 PM
                  0 responses
                  25 views
                  0 reactions
                  Last Post SEQadmin2  
                  Working...