Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • anibhax
    Member
    • Jan 2013
    • 24

    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?
  • kopi-o
    Senior Member
    • Feb 2008
    • 319

    #2
    Yes, it sounds way too low.

    Comment

    • anibhax
      Member
      • Jan 2013
      • 24

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

      Comment

      • zinky
        Member
        • Dec 2011
        • 48

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

        Comment

        • kopi-o
          Senior Member
          • Feb 2008
          • 319

          #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

          • anibhax
            Member
            • Jan 2013
            • 24

            #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

            • anibhax
              Member
              • Jan 2013
              • 24

              #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

              • Chipper
                Senior Member
                • Mar 2008
                • 323

                #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

                • anibhax
                  Member
                  • Jan 2013
                  • 24

                  #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

                  • GenoMax
                    Senior Member
                    • Feb 2008
                    • 7142

                    #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

                    • Chipper
                      Senior Member
                      • Mar 2008
                      • 323

                      #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

                      • anibhax
                        Member
                        • Jan 2013
                        • 24

                        #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

                        • anibhax
                          Member
                          • Jan 2013
                          • 24

                          #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

                          • 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
                          • SEQadmin2
                            Cancer Drug Resistance: The Lingering Barrier to Rising Survival
                            by SEQadmin2



                            Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.

                            There is no single reason why many patients don’t respond to treatment as expected. Cancer is...
                            07-08-2026, 05:17 AM
                          • GATTACAT
                            Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
                            by GATTACAT
                            Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
                            07-01-2026, 11:43 AM

                          ad_right_rmr

                          Collapse

                          News

                          Collapse

                          Topics Statistics Last Post
                          Started by SEQadmin2, 07-09-2026, 10:04 AM
                          0 responses
                          24 views
                          0 reactions
                          Last Post SEQadmin2  
                          Started by SEQadmin2, 07-08-2026, 10:08 AM
                          0 responses
                          15 views
                          0 reactions
                          Last Post SEQadmin2  
                          Started by SEQadmin2, 07-07-2026, 11:05 AM
                          0 responses
                          33 views
                          0 reactions
                          Last Post SEQadmin2  
                          Started by SEQadmin2, 07-02-2026, 11:08 AM
                          0 responses
                          31 views
                          0 reactions
                          Last Post SEQadmin2  
                          Working...