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Project Background

Samples collected from marine environments around the world
Water sample collected
Filtered to isolate viral component and bacteria (+viruses) component
Selected for dsDNA viruses only
Fractions underwent shotgun metagenomic sequencing
Assembled into contigs
Generated RPKM values
Compared to metabolomics databases (MetaCyc, COG, KEGG, 3 more) using FAST - combined the rpkm values for all enzymes in pathway with set of rules (specific to each pathway)
Output was RPKM value for enriched pathways for every sample
EBI Link: https://www.ebi.ac.uk/metagenomics/studies/ERP001736
Metadata Link: https://www.ebi.ac.uk/ena/submit/tara-oceans-checklist

RPKM - After the contigs are assembled, the reads were aligned back to the contigs - this was used to generate RPKM (essentially a normalized genomic abundance metric - reads per kilobase of transcript per million mapped reads)
Sample IDs (df_MASTERTABLE SAMPLE field):
- Sample IDs that start with 'c' are include both bacterial and viral
- Sample IDs that start with 'ERR' are from samples that were passed through a finer filter, so are viral only
Type (df_MASTERTABLE TYPE field)
- SINGLE includes only one fraction
- MULTI includes the viral and bacterial fraction data in a single analysis

Collection Date information exists - Simon Rao

Tara Oceans Project - project that underwent the sampling expedition: http://ocean-microbiome.embl.de/companion.html
International consortium of oceanography/marine biologists - made a standardized sample collection process (data is comparable)
First expedition - photic samples - didn’t sample very deep
PathwayTools - prediction engine - need licence - made MetaCyc identifiers from this
PathoLogic - has harmonized names
New idea - metabolically functional genes encoded in viruses - more widespread than imagined before
Talked about this paper: http://www.pnas.org/content/108/39/E757.short
Cyanobacteria normally have fast turn-over - slow down and halt photosynthesis in response to viruses (sequester them and protect neighbouring cells) - virus carries genes that are part of the photosystem - overcomes the defence mechanism and promotes photosynthesis, cellular division
Pathway tools - KEGG Atlas - have diagrams for metabolism - recommended using these
Envisions this turning into a manuscript - Nature Scientific Data publication
Heatmap with distribution of pathways good starting point (something similar to KEGG atlas ideal though)
Want to be able to do things like compare samples in Indian Ocian to x Ocean
Pathways by location heatmap
Metaviriome - attracted to certain pathways - want to visualize the pathways that are affected

Reference database of enzymes and metabolic pathways
Mostly small molecule pathways (but updated versions add macromolecular metabolic pathways)
Tool PathoLogic uses to predict metabolic networks of organism with annotated genome files - generates Pathway/Genome databases - BioCyc stores the databases generated by SRI
Used to generate organism-specific pathway/genome databases
Curated from experimentally validated results/academic papers

Map
- Data points are plotted to the map with latitude and longitude values
- Want to be able to query by location, depth, other metadata (temperature, salinity, etc)
- Clicking on a sample should pull up data on sample information, pathway information, etc. (Want some figures to make data visual - likely by metabolic category) and link out to MetaCyc information
Analysis Functionality
- Want differential comparison of metabolic pathway activation for samples with given set of characteristics
- Want to have a way to filter out pathways that are generally present everywhere
Interactive KEGG Atlas-like Visualization (if time permits)