Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • an_na
    Junior Member
    • Mar 2019
    • 2

    #1

    filtering variants with R

    Hi,

    I'm learning basic data analysis with R, I'm using RStudio. I have my sequencing data in one file. It contains samples from 3 tissues from 100 individuals. I need to filter out variants within individuals, so that I can see variants unique for each tissue and common between two or all tissues.
    My file is one dataset with 116 columns - after filtering variants I would like to keep all the columns. One of these columns is my individual ID (for 130 individuals) and there are separate columns with variants and tissue types.
    So far, I understand that I need to create a loop that will filter within each individual by 1. sorting variants 2. apply filtering to variant presence in different tissues, so that in the end I would get: 1. 3 sets of variants unique for each tissue type, 2. 1 set of variants common to all tissue types, 3. 3 sets of variants common between 2 tissue types.

    I've tried the VennDiagram package, but it sorts out variants that occur in any other individual in my dataset. I need to look into variants in a single individual.

    Does anyone here know how to solve this??

    Cheers,
    A.

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