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INFORMATION FLOW AARTHI & NEHA.

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Presentation on theme: "INFORMATION FLOW AARTHI & NEHA."— Presentation transcript:

1 INFORMATION FLOW AARTHI & NEHA

2 DATA COLLATION 1) Assembly, Prediction, Annotation and Comparative provide us with data which are compiled into a searchable database. 2)Along with that we will also compile this data in special formats used by other tools like BLAST and the SYNTENY VIEWER.

3 BASIC BROWSER DESIGN While using our website, the user may follow certain paths in their workflow, starting with the home page. From Home access is provided to a genome viewer (to a selected contig in a selected genome) Search forms for querying the database From search results, access to Feature Details A BLAST search From BLAST results, access to Feature Details An MLST typing tool Comparative genomics data ( Synteny, Phylogeny, Genome characteristics profiles)

4 From the viewer : In the viewer, you see a positional overview of selected feature types.
Feature Details: a page where all data in the database on a feature is shown From Details, link back to the viewer From Details, links to external databases (KEGG, Pubmed) From Details, link to a BLAST search (homology search)

5 FUNCTIONAL ANNOTATION
Information Flow GENE PREDICTION FUNCTIONAL ANNOTATION ASSEMBLY COMPARITIVE GENOMICS NEMO DOWNLOAD SEARCH FEATURE DETAILS VIEWER BLAST MLST

6 TASK DECOMPOSITION: SEARCH
Contig Others Gene Protein GO

7 CONTIG GENE Name Type Strain Length PROTEIN Name Uniprot ID OTHERS GO KEGG Interpro ID Pubmed ID Name Type E.C

8 TASK DECOMPOSITION:VIEWER
CONTIG VIEWER HGT CG VIEWER SYNTENY BLAST VISUALIZATION PHYLOGENY

9 DOWNLOAD Neisseria GENOMES This is the overview of the strategy we plan to follow for presenting Neisseria genome database (NEMO ) that will provide graphical interface of M13519 & M16917 Neisseria strains and a comprehensive search tool .

10 THANK YOU


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