Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • seqmonkhic
    Junior Member
    • Jul 2019
    • 1

    #1

    Some basic questions about Seqmonk for Hi-C data

    Hello,

    I am using Seqmonk for the first time and have some basic questions about hi-c data in general and about seqmonk.

    I want to compare two conditions and have 2 biological and 2 technical replicates for each (total 8 bam files). Should I first merge the bam files of technical replicates before importing them into Seqmonk? I saw the Data Group function which can be used to group data but am a little unsure if that is appropriate for merging technical replicates?

    Secondly, I want to identify interactions that show the statistically significant changes between the two conditions. For this I define probes with a resolution of 100k, quantitate them by read coverage and then use the edgeR filter. Since some pipelines also recommend merging all biological and technical replicates to increase hic coverage I was wondering which filter would be the best to identify significant changes in interactions in this unreplicated merged data?

    PS:I am also having some trouble running out of memory because of the huge files and was wondering if anyone has any tips for that.

    Thanks

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, 10:13 AM
0 responses
14 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-31-2026, 02:55 AM
0 responses
29 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-24-2026, 12:17 PM
0 responses
22 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-23-2026, 11:41 AM
0 responses
21 views
0 reactions
Last Post SEQadmin2  
Working...