Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • Is it normal to hav very low mapping for TREATMENT file in Chip-seq?

    Hi,

    I'm working on chip-seq and it looks like I have an issue. I'm not sure if it's normal for a chip-seq analysis.

    I have a control and treatment file (in fastq format), which I mapped it using Bowtie2. The problem here is, while the input file has 90% mapped, treatment has only 10% mapped (mapping statistics by samtools flagstat option). Is it something I should be worried about?

  • #2
    Yes, it sounds way too low.

    Comment


    • #3
      So normally there should not be any significant changes in mapping statistics between control and treatment right?

      Comment


      • #4
        make sure that u have done the quality controll step ,this pheno may result from adaptor contamination

        Comment


        • #5
          So normally there should not be any significant changes in mapping statistics between control and treatment right?
          If the ChIP has succeeded, typically no. But I think it's not uncommon to get poor enrichment leading to things like adapter contamination as mentioned above. Or perhaps the sequencing was suboptimal so you have poor quality at the end of the reads and Bowtie has trouble mapping with certain parameters.

          Comment


          • #6
            Originally posted by zinky View Post
            make sure that u have done the quality controll step ,this pheno may result from adaptor contamination
            @Zinky: I already did the quality check. I don't think it is adaptor contamination!

            Comment


            • #7
              Originally posted by kopi-o View Post
              If the ChIP has succeeded, typically no. But I think it's not uncommon to get poor enrichment leading to things like adapter contamination as mentioned above. Or perhaps the sequencing was suboptimal so you have poor quality at the end of the reads and Bowtie has trouble mapping with certain parameters.
              When I ran the FastQC analysis, I checked all those adaptor contamination. I used trim-galore too to remove poor quality reads and default Illumina adaptors. Still, it gives me poor results. Hence, the bemusement.

              I was wondering what might be the cause. The difference between treatment and control seem to be too much!

              Comment


              • #8
                Was the control IgG or input? If only 10% align I would suspect a contamination from the beads, perhaps they were blocked with ssDNA or you have osm bacteria growing in the buffer. Try a quick assembly using e.g Minia and blast the major contigs.

                The 10% could still be usable if you have good enrichment.

                Comment


                • #9
                  Originally posted by Chipper View Post
                  Was the control IgG or input? If only 10% align I would suspect a contamination from the beads, perhaps they were blocked with ssDNA or you have osm bacteria growing in the buffer. Try a quick assembly using e.g Minia and blast the major contigs.

                  The 10% could still be usable if you have good enrichment.
                  The control was Input. Does it make a difference in the analysis if it is input or IgG?

                  Comment


                  • #10
                    As chipper suggested in #8, have you tested to eliminate the possibility that the non-mapping fraction is some kind of contaminant?

                    This software package from folks at Babraham can help: http://www.bioinformatics.babraham.a.../fastq_screen/

                    Comment


                    • #11
                      Originally posted by anibhax View Post
                      The control was Input. Does it make a difference in the analysis if it is input or IgG?
                      You don't use beads for input. If they are the source of the contaminant you would expect to see it in IgG but not in input.

                      Comment


                      • #12
                        Originally posted by Chipper View Post
                        You don't use beads for input. If they are the source of the contaminant you would expect to see it in IgG but not in input.
                        I see. Well, I did BLAST the reads (a handful) which were unmapped. They mapped to human with a significant e-value. But I'm working on a worm. I'm not sure what to make out of the BLAST results.

                        Comment


                        • #13
                          Originally posted by GenoMax View Post
                          As chipper suggested in #8, have you tested to eliminate the possibility that the non-mapping fraction is some kind of contaminant?

                          This software package from folks at Babraham can help: http://www.bioinformatics.babraham.a.../fastq_screen/
                          Hi GenoMax,

                          For the fastq_screen I'm guessing it's necessary to know which adaptors or vectors I think might be involved prior to using it. Is it correct?

                          If so, are there default adapters/vectors available for certain Illumina platforms or do I need to contact the people who ran the analysis for the list?

                          Comment

                          Latest Articles

                          Collapse

                          • seqadmin
                            Advancing Precision Medicine for Rare Diseases in Children
                            by seqadmin




                            Many organizations study rare diseases, but few have a mission as impactful as Rady Children’s Institute for Genomic Medicine (RCIGM). “We are all about changing outcomes for children,” explained Dr. Stephen Kingsmore, President and CEO of the group. The institute’s initial goal was to provide rapid diagnoses for critically ill children and shorten their diagnostic odyssey, a term used to describe the long and arduous process it takes patients to obtain an accurate...
                            12-16-2024, 07:57 AM
                          • seqadmin
                            Recent Advances in Sequencing Technologies
                            by seqadmin



                            Innovations in next-generation sequencing technologies and techniques are driving more precise and comprehensive exploration of complex biological systems. Current advancements include improved accessibility for long-read sequencing and significant progress in single-cell and 3D genomics. This article explores some of the most impactful developments in the field over the past year.

                            Long-Read Sequencing
                            Long-read sequencing has seen remarkable advancements,...
                            12-02-2024, 01:49 PM

                          ad_right_rmr

                          Collapse

                          News

                          Collapse

                          Topics Statistics Last Post
                          Started by seqadmin, 12-17-2024, 10:28 AM
                          0 responses
                          23 views
                          0 likes
                          Last Post seqadmin  
                          Started by seqadmin, 12-13-2024, 08:24 AM
                          0 responses
                          42 views
                          0 likes
                          Last Post seqadmin  
                          Started by seqadmin, 12-12-2024, 07:41 AM
                          0 responses
                          28 views
                          0 likes
                          Last Post seqadmin  
                          Started by seqadmin, 12-11-2024, 07:45 AM
                          0 responses
                          42 views
                          0 likes
                          Last Post seqadmin  
                          Working...
                          X