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Leveraging Spotfire

for Biologics Discovery _____________________

Dave Nakamura Business Capability Manager

Biologics IT (RWC)

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use.case_datawarehouse_analytics

DATA warehouse

registration DATA- marts

ontology/ taxonomy

ETL

flat files

R server

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BIOLOGICS DATA AND WORKFLOWS

Background

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background_biologics.data

Animal Model

Antigen

Fusion/ Cells/ Tissue

Sequence

Engineered Cell

Purified mAb

Hybridoma development

Toxicity

ex vivo studies

in vivo studies

Construct

Modifications

Cell line

Purification

Characterization

Sequence

Lineage

Antigen generation Genotype

Species

Project

Immunization

in vitro screening

Clone selection

Characterization

Analytical

Purification

Hybridoma

Parental material

Bioinformatics Genomics

Structural Biology

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background_biologics.data.2

Fab Mono-

Fab2

Bispecifc-Fab2

Mini-body

Mono-valent

Syn-mAb

IgG

IgM

IgA

Bi-specifics

ADC alt.

species

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background_biologics.data.3

METHOD PROS

Hybridoma Fusion of B cells to myeloma cells

Automated, robust

Genetic immortalization mRNA display, YSD Phage display

Comprehensive, orthogonal

B-cell cloning Single B cells for antigen specificity

No fusions, species agnostic

METHOD PROS

PHAGE display Human repertoire on mammalian cells, phage display of synthetic

repertoire

Directed, no in vivo selection

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organization_BMS

Redwood City

Waltham

Lawrenceville

Cambridge 2018

Seattle

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organization_BMS

RWC Legacy LIMS

Seattle Legacy LIMS

Waltham Legacy LIMS

NJ Legacy LIMS -small molecule-

RWC-ID

SLE-ID WAL-ID

BMS-ID

RWC-001

SLE-001 SLE-001

SLE-001 SLE-001

SLE-001

BMS-001 BMS-001

BMS-001 BMS-001

BMS-001 BMS-001

WAL-001 WAL-001

WAL-001 WAL-001

WAL-001

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use.case_datawarehouse_analytics

DATA warehouse

registration DATA- marts

ontology/ taxonomy

ETL

flat files

R server

Biologics Registration.v2 Biologics Reg.v1

Biologics Data Capture

Biologics e-Notebook

Biologics Taxonomy

Spotfire/ Data Analytics

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16

20

17

20

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Information Model

Data Model

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LEVERAGING TOOLS

WORK IN-PROGRESS

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organization_BMS

RWC Legacy LIMS

Seattle Legacy LIMS

Waltham Legacy LIMS

NJ Legacy LIMS -small molecule-

RWC-ID

SLE-ID WAL-ID

BMS-ID

RWC-001

SLE-001 SLE-001

SLE-001 SLE-001

SLE-001

BMS-001 BMS-001

BMS-001 BMS-001

BMS-001 BMS-001

WAL-001 WAL-001

WAL-001 WAL-001

WAL-001

What’s Dave & Team up to?

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data_working.group

BCM

SCIENTIST(S)

working GROUP

‘prototype’

deploy solution

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use.case_NGS

mAb(s) Bioinfo

Analysis

Raw

Seq.

Unique

Seq.

Assay

Data

Seq.

database How do I aggregate my data?

How do I pick?

Seq.db

Have I seen this before?

BB.db

R.server

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use.case_NGS

Heavy Excel Manipulation

FASTQ CSV

Spotfire

BioInfo tools

time spent: ~3 hrs time saved: 40+hrs

UI prototype for bioinformatics team

project moved forward

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use.case_NGS

Prototype Enhancements additional xls Manipulation

Update Spotfire template

time spent: ~3 hrs time saved: ~ Additional capabilities

Building Web-UI Spotfire friendly data output

Algorithm development

Spotfire integration

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use.case_NGS

Open Spotfire Template

Click Button Load Sequence file

Manual workflow: 2-3FTE’s, ~2 weeks Automatied workflow: 1 FTE, <1hr Additional capabilities

Lead Discovery, Discovery IT, Bioinformatics, Genomics.

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overall_success

Q1 2015- Q3 2016 completed 60+ Spotfire Projects

Spotfire Community of Practice : 100’s of members

Spotfire active usage and demand growing

‘Hackathons’

Lunch n’ Learn: 25+% site attendance

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THANK YOU RWC SCIENTISTS

Alan Korman

Arvind Rajpal

Pina Cardarelli

Keith Joho

Nathan Siemers

Don Jackson

Rajkumar Balakrishnan

Fei Cao

Jenny Tung

Pallavi Tawde

Rena Bahjat

Vibha Chauhan

MANY MORE!....

DISCOVERY IT

Ramesh Durvasula

Mary Brawner

Sovanda Som

John Charles

Stephen Skwish

Jay Gill

Alice Goshorn

MANY MORE!...

WALTHAM SCIENTISTS

Sharon Cload

Shawn Smith

Luke Turkcheck

Martin Wright

Ginger Rakestraw

MANY MORE!...