Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • cmccabe
    Senior Member
    • Jul 2012
    • 355

    #1

    coverageBed using paired-end fastq as input

    I am new to Illumina data with more experience with Ion Torrent data. Recently, I have some fastq files and before:

    CoverageBed using a bam:
    Code:
     coverageBed -d -a targets.bed -b IonXpress_.bam > IonXpress_output.txt

    Now that I have 2 paired-end fastq files:
    S5_R1.fastq
    S5_R2.fastq

    How do I use them with coverageBed? Thank you .
  • GenoMax
    Senior Member
    • Feb 2008
    • 7142

    #2
    And you are back

    You seem to have overlooked the step of having to trim/align the fastq files to get an alignment file (BAM) before you can think about coverageBed.

    Comment

    • cmccabe
      Senior Member
      • Jul 2012
      • 355

      #3
      I am totally new to Illumina data and admit I did not think of that step. Do you have any recommendations far as what to use or where to begin? Thank you .

      Comment

      • GenoMax
        Senior Member
        • Feb 2008
        • 7142

        #4
        Originally posted by cmccabe View Post
        I am totally new to Illumina data and admit I did not think of that step. Do you have any recommendations far as what to use or where to begin? Thank you .
        What kind of data is this? I will suggest starting with BBDuk (to trim data/look for adapters) and then BBMap (to align) but other aligners will work as well.

        Comment

        • cmccabe
          Senior Member
          • Jul 2012
          • 355

          #5
          This is Illumina paired-end data from a NextSeq. I will give those to applications a try. Thank you .

          Comment

          • GenoMax
            Senior Member
            • Feb 2008
            • 7142

            #6
            Originally posted by cmccabe View Post
            This is Illumina paired-end data from a NextSeq. I will give those to applications a try. Thank you .
            Is it DNAseq, RNASeq, ChIP_seq .. "what-seq" kind of data. BBMap would work for all of those but downstream analysis will be different.

            Comment

            • cmccabe
              Senior Member
              • Jul 2012
              • 355

              #7
              It is DNA-seq data. Thank you .

              I spent some time reading and learning some programing. Thank you for your helpful posts
              Last edited by cmccabe; 10-28-2015, 02:34 PM.

              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, 07-31-2026, 02:55 AM
              0 responses
              20 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 07-24-2026, 12:17 PM
              0 responses
              16 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 07-23-2026, 11:41 AM
              0 responses
              16 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 07-20-2026, 11:10 AM
              0 responses
              26 views
              0 reactions
              Last Post SEQadmin2  
              Working...