Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • PubMed: Graph-based clustering and characterization of repetitive sequences in next-g

    Syndicated from PubMed RSS Feeds

    Related Articles Graph-based clustering and characterization of repetitive sequences in next-generation sequencing data.

    BMC Bioinformatics. 2010 Jul 15;11(1):378

    Authors: Novak P, Neumann P, Macas J

    ABSTRACT: BACKGROUND: The investigation of plant genome structure and evolution requires comprehensive characterization of repetitive sequences that make up the majority of higher plant nuclear DNA. Since genome-wide characterization of repetitive elements is complicated by their high abundance and diversity, novel approaches based on massively-parallel sequencing are being adapted to facilitate the analysis. It has recently been demonstrated that the low-pass genome sequencing provided by a single 454 sequencing reaction is sufficient to capture information about all major repeat families, thus providing the opportunity for efficient repeat investigation in a wide range of species. However, the development of appropriate data mining tools is required in order to fully utilize this sequencing data for repeat characterization. RESULTS: We adapted a graph-based approach for similarity-based partitioning of whole genome 454 sequence reads in order to build clusters made of the reads derived from individual repeat families. The information about cluster sizes was utilized for assessing the proportion and composition of repeats in the genomes of two model species, Pisum sativum and Glycine max, differing in genome size and 454 sequencing coverage. Moreover, statistical analysis and visual inspection of the topology of the cluster graphs using a newly developed program tool, SeqGrapheR, were shown to be helpful in distinguishing basic types of repeats and investigating sequence variability within repeat families. CONCLUSIONS: Repetitive regions of plant genomes can be efficiently characterized by the presented graph-based analysis and the graph representation of repeats can be further used to assess the variability and evolutionary divergence of repeat families, discover and characterize novel elements, and aid in subsequent assembly of their consensus sequences.

    PMID: 20633259 [PubMed - as supplied by publisher]



    More...

  • #2
    Anybody doing this for RNA-seq data? Graph-based clustering using RNA-seq?

    Comment

    Latest Articles

    Collapse

    • seqadmin
      The Impact of AI in Genomic Medicine
      by seqadmin



      Artificial intelligence (AI) has evolved from a futuristic vision to a mainstream technology, highlighted by the introduction of tools like OpenAI's ChatGPT and Google's Gemini. In recent years, AI has become increasingly integrated into the field of genomics. This integration has enabled new scientific discoveries while simultaneously raising important ethical questions1. Interviews with two researchers at the center of this intersection provide insightful perspectives into...
      02-26-2024, 02:07 PM
    • seqadmin
      Multiomics Techniques Advancing Disease Research
      by seqadmin


      New and advanced multiomics tools and technologies have opened new avenues of research and markedly enhanced various disciplines such as disease research and precision medicine1. The practice of merging diverse data from various ‘omes increasingly provides a more holistic understanding of biological systems. As Maddison Masaeli, Co-Founder and CEO at Deepcell, aptly noted, “You can't explain biology in its complex form with one modality.”

      A major leap in the field has
      ...
      02-08-2024, 06:33 AM

    ad_right_rmr

    Collapse

    News

    Collapse

    Topics Statistics Last Post
    Started by seqadmin, 02-28-2024, 06:12 AM
    0 responses
    21 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 02-23-2024, 04:11 PM
    0 responses
    69 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 02-21-2024, 08:52 AM
    0 responses
    77 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 02-20-2024, 08:57 AM
    0 responses
    67 views
    0 likes
    Last Post seqadmin  
    Working...
    X