INFORMATION FLOW AARTHI & NEHA.

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Presentation transcript:

INFORMATION FLOW AARTHI & NEHA

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.

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)

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)

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

TASK DECOMPOSITION: SEARCH Contig Others Gene Protein GO

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

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

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 .

THANK YOU