IGRANNOT: A Multiagent System for InterGenic Regions Annotation - PowerPoint PPT Presentation

1 / 20
About This Presentation
Title:

IGRANNOT: A Multiagent System for InterGenic Regions Annotation

Description:

Sandro Camargo, Jo o Valiati, Luis Ot vio lvares, Paulo Engel, Sergio Ceroni. Introduction. The exponential growth of genomic data has led to an absolute ... – PowerPoint PPT presentation

Number of Views:39
Avg rating:3.0/5.0
Slides: 21
Provided by: sandroc3
Category:

less

Transcript and Presenter's Notes

Title: IGRANNOT: A Multiagent System for InterGenic Regions Annotation


1
IGR-ANNOT A Multiagent System forInterGenic
Regions Annotation
  • Sandro Camargo, João Valiati, Luis Otávio
    Álvares, Paulo Engel, Sergio Ceroni

2
Introduction
  • The exponential growth of genomic data has led to
    an absolute requirement for computerized tools to
    analyze this data.
  • A new genome sequencing does not answer all
    questions about the organism. Progress is more
    likely to come from comparing the genomes of
    different organisms.

3
Introduction
  • There are many tools and techniques to compare
    complete genomes and coding regions, but there is
    a lack for techniques for compare non-coding
    regions of DNA, which contains regulatory
    elements.
  • Many of the differences between species may be
    attributed to changes in the regulation of
    transcription and translation.
  • Transcription and translation are often regulated
    via elements that lie in intergenic regions.

4
InterGenic Regions
  • Intergenic regions are defined as the sequence
    between the translational stop of a gene and
    translational start of the next gene.
  • For obtaining intergenic regions of an organism
    are necessary
  • the complete genome of this organism (the
    nucleotides sequence)
  • the information about coding regions (start and
    stop positions, orientation, and name).

5
InterGenic Regions
  • Our decision was to work with GenBank files
    because they contain all this necessary
    information for identifying coding regions, and
    this information will be used to infer the
    necessary information about intergenic regions.

6
InterGenic Regions
  • The format design is based on a tabular approach
    and consists of the following items
  • Feature Key a single word or abbreviation
    indicating functional group
  • Location instructions for finding a feature
  • Qualifiers auxiliary information about a
    feature.

7
InterGenic Regions
  • Key Location/Qualifiers
  • CDS 23..400
  • /productalcohol dehydrogenase
  • /gene"adhI"

An example of a feature in the feature table.
8
InterGenic Regions
  • InterGenic Regions naming conventions
  • IGR-O-G1-G2
  • where O FRBX depending on the previous and
    next gene orientations,
  • and G1 and G2 are the names coding regions which
    intergenic regions contains regulatory
    information.

9
InterGenic Regions
  • Intergenic regions will be written in the GenBank
    file format using the feature misc_feature.
  • According to the GenBank file format description,
    this feature key is used for annotate regions of
    biological interest which cannot be described by
    any other feature key.

10
IGR-ANNOT Engineering Process
  • The multiagent approach is particularly
    attractive to this problem because
  • information content is heterogeneous.
  • information can be distributed.
  • much of the annotation work for each gene can be
    done by different laboratories using different
    methodologies for annotate information about
    genes.
  • We have used MASE and AgentTool to modelling the
    agent.

11
IGR-ANNOT Engineering Process
  • User Interface Agent (UIA)
  • File Reader Agents (FRA)
  • Gene Agents (GA)
  • InterGenic Regions Agents (IGRA)
  • File Writer Agents (FWA)

12
IGR-ANNOT Engineering Process
13
IGR-ANNOT Engineering Process
  • To implementing this architecture, we have used
    the Perl language, and it can be run on any
    suitable platform.
  • Perl have many features, like string manipulation
    facilities, that become it a very interesting
    language to working with DNA sequences,
  • besides there are complete packages to
    implementing multiagent systems.

14
Results Discussion
  • We have extensively used IGR-ANNOT to creating
    intergenic regions annotation in several genomes
    of Mycoplasmataceae family.
  • To getting a graphical view of annotation created
    by our tool we have used the Artemis tool.
  • The next figures are presenting the Mycoplasma
    Hyopneumoniae 232 genome.

15
Results Discussion
16
Results Discussion
17
Results Discussion
18
Results Discussion
19
Conclusions
  • This system is now successfully in use by
    biologists at the UFRGS.
  • The result of IGR-ANNOT application provides an
    easy way to comparing intergenic regions among
    different organisms.
  • Although the positive results achieved until now
    in genomes of Mycoplasmataceae family, further
    tests will be performed, mainly using most
    complexes genomes.

20
Future Works
  • Create an environment to InterGenic Regions
    comparison.
  • IGR-ANNOT will be available publicly to other
    biologists over the web at www.inf.ufrgs.br/scama
    rgo in software section.
Write a Comment
User Comments (0)
About PowerShow.com