The Meta-Barcoding Research And Visualization Environment (mBRAVE) platform presentation from the 7th International Barcode of Life Conference. An overview of the platform, priorities, and features are provided.

1. The mBRAVE Platform:
Automated NGS/HTS Data Analysis
SUJEEVAN RATNASINGHAM, EDDIE MA, ZAK EL BASTAMI, DEAN CHAN,
CATHERINE WEI, MEGAN MILTON, PAUL HEBERT

2. Impact of a Community Platform
Community Database
Collaborative Networks Analytical Tools
Data Standards

3. 1000+ Institutions from 94 countries sharing data on BOLD
AcrossNations
Within Nations
100K+
10K – 100K
1K – 10K
BOLD User Network - 2015

4. ~6M Records ~5K Published Datasets ~3K Publications

5. Meta-Barcoding

6. Growth of Metabarcoding
0
100
200
300
400
2010 2011 2012 2013 2014 2015 2016
ISI Web of Science
0
200
400
600
800
1000
1200
1400
2010 2011 2012 2013 2014 2015 2016
Google Scholar
Publications
Publications~10% of parallel talks in 2015 in metabarcoding, in 2017 it is ~30%

7. mBRAVE V1.0
Storage
Indexing
Analysis
Discovery
Standards
mbrave.net

9. Variety
Three Vs of Big Data
Volume Velocity

10. Data Organization
Command
Centre
Project 1
Project 2
Project X
Run 2.1
Run 2.2
Run 2.Y
• Analysis Parameter definition
• Reference library selection
• Assign Users
• Run comparison and result summaries
• Analysis parameter refinement
• Run feature distributions
• ID match tables & OTU tables
• Personal dashboard
• Project & run search
BIN/OTU • Hit drill down
• OTU drill down
• Hit & quality distributions
ProjectRunBIN/OTU

12. Uploading Data (Velocity)

13. Metadata (Variety)
Analysis
Metadata
Sample
Metadata
Domain Specific
Extensions
Sequence Data

14. Conventional MetaBarcoding
Workflow
Filtering Dereplication Preclustering &
Denoising
Classification OTU
Generation
Flexible options
KMER Indexes augmented
with Needleman-Wunsch
Currently USEARCH/VSEARCH
Based

15. Parameter Controls

16. Reference Libraries

17. Tiered Closed OTU Generation
REF 1 REF2 REF3
OTU
Generation
Reads

18. Tiered Closed Reference Classification
REF 1 REF2 REF3
OTU
Generation
Reads

19. Feedback Loops

20. Reference Libraries

21. Search & Meta -Analysis

22. Vendor Specific Defaults
• Filtering
• Thresholds
• Preprocessing

23. Challenges

24. Acknowledgements
CBG Informatics Team
Paul Hebert
Evgeny Zakharov
Dirk Steinke
Jeremy Dewaard
Alex Borisenko
Dan Janzen & Winnie Hallwachs
Michelle van der Bank
Many others!
Canadian Centre for DNA Barcoding
CBG Collections Team