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GIW Roundtable Workshops
Round table
1 - Monday 1 December 15:50 - 17:00
FORUM
ON INNOVATION AND COMMERCIALISATION IN GENOME-SCALE BIOINFORMATICS
Chair/Moderator:
Mervyn Thomas, CEO, Emphron Informatics Pty Ltd, Australia
Expert Panel:
Mr Jeremy Barker,
CEO, Queensland Facility for Advanced Bioinformatics (QFAB)
Dr
Jill Gray, Manager,
Technology & Commercialisation, Department of Tourism, Regional
Development & Innovation, Queensland Government
Professor
Ming Li,
Founder, Bioinformatics Solutions Ltd (Canada)
Professor
Limsoon Wong,
Founder, GeneticXchange (USA) and Molecular Connections (India)
Bioinformatics
grew out of the early genome-sequencing projects, and has now
developed into an enabling platform essential for life science
research. Advances in technology make it possible to deeper
questions, but also present challenges arising from the large
volumes of data that must be captured, managed, integrated,
analysed and visualised. Addressing these challenges demand
innovative bioinformatics and information technology solutions.
Organisations are tackling these challenges in a variety of
ways, and have applied a range of commercialisation models with
varying degrees of short- and long-term success. This forum
on innovation and commercialization in bioinformatics brought
together representatives from industry, government and academia
with experience in the commercialisation of bioinformatics to
share their thoughts and experience, and to answer questions
from conference delegates.
The panellists
first shared with GIW delegates their own diverse experiences
with bioinformatics commercialisation and innovation. Mervyn,
Limsoon and David described their experiences with commercialisation
of bioinformatics research and services and various start-up
companies, highlighting commercial strategies that were or were
not successful. Jill then presented Queensland Government policies
supporting innovation and commercialisation, and Jeremy concluded
the opening addresses with a description of his key findings
from a Churchill Fellowship-supported international study tour
of bioinformatics services provision, and the QFAB experience.
A common
theme from these presentations involved the commercial challenges
faced in the commercial sector for bioinformatics products,
including the nature of the product (e.g. software, data or
hardware) or service (e.g. data curation or provision of skills-based
solutions) to be commercialised. A strength highlighted by the
discussions was the sustainability provided by commercial bioinformatics
solutions: whereas open-source or in-house bioinformatics can
be derailed by loss of key personnel, commercial services can
guarantee continuity and quality. It was also noted, however,
that open-source solutions can be adequate for some intended
uses, and companies have successfully commercialised software
in this arena.
The panelists
presented a variety of models for bioinformatics commercialisation
which had met varying degrees of success. Limsoon contrasted
pricing strategies actually used by two different companies:
in one, a full product was packaged with a single, expensive
price, whereas the second was incremental, with an entry-level
price for a basic product and many small increases for additional
features; the latter was more successful. Mervyn highlighted
the importance of offering cutting-edge products and services
in a field such as bioinformatics that changes so rapidly. A
skill or technique may be “cutting-edge today, but in
six months a commodity”; it is, therefore, imperative
for providers to stay at the crest of the wave in order to survive.
Ming characterised his company’s strategy as providing
cutting-edge services to the more-discerning sector of the market.
Discussions
initiated by questions from the floor covered difficulties in
assessing the value of research and knowledge-based products
to justify government investment in innovation and commercialisation;
the importance of preserving commercial value through intellectual
property management; managing the potentially competing interests
of science and commercialisation; the difficulties in determining
an appropriate business model for bioinformatics; and the important
role of governments in linking R&D with domestic and international
markets. The animated discussion around these and other topics
of interest reflect the level of interest in innovation and
commercialisation in bioinformatics across a broad sector of
the Australian and international community.
The overarching
conclusion was that each commercialisation strategy demands
a careful assessment of the presented opportunity; no single
solution is the absolute answer in every instance, and opportunities
can appear, evolve and disappear on a dynamic basis. Astute
business judgment determines the blend of nature of the products
and/or services that can successfully be commercialised in each
case.
The workshop
was very well-attended, with no shortage of questions and comments
from the audience. Informal discussion continued well after
the close of the session.
Specific
dot-points:
-
What
are we selling? (a product / service / expertise?)
-
Bridging
enabling technologies into traditional sectors
-
Innovation
as more than just R&D
-
Managing
growth, maintaining focus
Different
models: what has worked
-
Service-for-equity
-
High-level
algorithmics for targeted market (“be the best”)
-
Integrated
solutions defined by client requirements
-
Incremental
pricing model – “take small bites” as more
features added
-
Customised
integration of laboratory equipment – requires good
service provision
-
Information
extraction & curation, human post-processing (importance
of match
with available personnel base – education, skills, temperament)
Different
models: what hasn’t worked
-
Single
expensive package – hard to add new customers (consider
what level of
approval would be needed to purchase – researcher, unit
manager, Board)
-
Complex
licensing agreements
-
Difficult
user interface, weak documentation – customers don’t
like
-
“Many
different models – everything works”
-
Bioinformatics
as an enabling technology beyond biotechnology (clinical
trials, environmental data management, defense sector)
-
Vital
role of government in linking R&D with domestic &
international markets
Innovation
Round Table Workshop Report .pdf
back
to program page
Round table
2 - Tuesday 2 December 15:50 - 17:00
FORUM
ON THE DEVELOPMENT OF GENOME-SCALE BIOINFORMATICS IN CHINA AND
INDIA
Participants:
Professor
Ashok Kolaskar (India)
Professor Ming Li (Canada)
Professor Yi-xue Li (China)
Professor Shoba Ranganathan (Australia), chair
Genome-scale
biology is generating unprecedented quantities of data relevant
to most fundamental and applied areas of the life sciences including
agriculture, fisheries and forestry, ecological sciences and
biodiversity, human health and disease, and molecular and cellular
biotechnology. Existing and new technologies for automated DNA
sequencing, gene expression analysis, proteomics, systems analysis,
imaging and high-content screening are widely available, adding
locally produced data sources to the wealth of information available
on-line from international data facilities such as EBI or NCBI.
The quantity and complexity of these data requires researchers,
institutions and countries to apply information technologies
of corresponding scale and sophistication. Bioinformatics encompasses
the management and analysis of these data, and development and
provision of software tools, and immediately proximate areas
of mathematics, statistics and algorithmics.
In Asia,
the economically developing countries China and India have been
deeply involved in bioinformatics for several decades. With
the emergence of these countries as economic superpowers, this
is an opportune moment to discuss where these countries are
currently poised; what challenges they face; what strategies
they have developed or are developing in research, development,
infrastructure, education and training for bioinformatics; what
the prognosis might be for their future development in this
important area; what opportunities are available for international
coordination and collaboration; and not least, what broader
lessons can be learnt from their development and success in
genome informatics.
“Rising
bioinformatic stars”
CHINA
The
article “Bioinformatics in China: a personal perspective”
by Liping Wei and Jun Yu (published in PLoS Computational
Biology 4(4):e1000020, April 2008) is absolutely essential
reading in this context. The authors present statistics on the
growth of publications, and information on online databases,
webtools and software developed and maintained in China and
on bioinformatics training programs offered by institutions
in China.
Specific
issues discussed in this workshop included:
- R&D
investment plans
- Multiple
national Ministries and bodies are involved
- Ministry
of Science & Technology: 2001-2010 US$3.8B in biological
& biomedical
Research
- Phase
I (2001-05): main fields are bioengineering, gene manipulation,
bioinformation
technologies, biomedical technologies
- Phase
II (2006-10): main fields are industrial technologies, gene
manipulation, biomedical technologies, bioinformation &
biocomputing technologies(*)
- (*)
National “863” program in bioinformatics, 2006-2010
Increasing focus on neuro-informatics
- In addition,
there is ongoing investment by other national ministries (Health,
Education) and by local governments.
- New national
programs (November 2008):
- New
drugs (US$ 1B) – note that China doesn’t have
a large pharmaceutical industry, although international
pharmaceutical companies have recently located R&D facilities
in China and graduates are finding jobs there.
- Infectious
disease (US$ 800M)
- 3%-5%
of these funds set aside for bioinformatics
- Funds
must be spent in next two years
- Heavy investment
nationally in data production (genome sequencing, metagenomics,
microbial genomics, functional genomics, proteomics, metabolomics).
Job prospects
for bioinformatics graduates in China are good. Some graduates
go
overseas, e.g. for further training. Many others are finding jobs
within China.
INDIA
Much information
is available at the following two websites:
Bioinformatics
in India started in 1981
Bioinformatics task force – 1983
- Recommends
a distributed network approach: BioGrid
- Triggered
internet connectivity for scientific research across India
- More recently,
development of a three-tiered system:
- Centres
of Excellence (6 nationally)
- Distributed
information centres (10) and sub-centres (51)
- Infrastructure
facilities (76)
Main components
of national strategy (for further detail, see below):
- Advanced
research
- Development
of human resources
- Academia-industry
interface
- International
linkages
- Advanced
Research
- About
1050 bioinformatics research papers, plus >3000 that
use bioinformatics
- Development
of human resources
- Goal
is to train >2000 bioinformaticians per year at all levels
- Central
government support for 7 undergraduate, 28 postgraduate,
12 certificate /
diploma, 9 PhD and 9 other training programs; many other
programs funded by
private institutions. Quality, especially of the latter,
is variable. Hence BINC,
Bioinformatics National Certification Examination. The BINC
is open to anyone,
including self-taught candidates, but is (intentionally)
very difficult and the pass
rate is “very, very low”. The BINC is implemented
in three steps: short-answer
questions, long-answer questions, and a practical; >50%
correct answers is needed
to proceed to each successive step. Website: http://bioinfo.ernet.in/BINC
- Discussions
are underway with Malaysia about adopting the BINC there.
- BioGrid
as a “virtual classroom”
- Market
is (so far) imperfect in matching graduates to jobs. There
is difficulty in
finding qualified teachers. Some graduates have trouble
finding jobs, although
these are mostly from the programs of questionable quality.
There was much
discussion in the workshop about how to match graduates
to jobs lies: Professor
Kolaskar advised that the principal approach must be through
improvement in quality.
- Academia-industry
interface
- Since
1982, central government support of the bioinformation industry
has been about
US$ 25M in total, of which >$5M is being spent this year.
- There
is a very active ICT industry in India, including large
and small companies in
bioinformatics (e.g. Molecular Connections, already mentioned
in the Innovation
and Commercialisation forum).
- Note
that there is a large drug industry in India. This has attracted
bioinformatics and
software companies from overseas, e.g. Accelrys, to invest
in India.
- International
linkages
- The
main partners in bioinformatics at this point are Japan,
Australia, and others in
the Asia-Pacific region; and Europe, particularly Italy.
IBIN – Indian Bioresource Information Network
- In three
regional languages
- Pictorial,
common-language focus to facilitate broad public impact Development
of databases in highly relevant: rice, tuberculosis
The Indian
government and institutions have noted China’s success in
attracting overseas Chinese back to China, and are considering
how to emulate this vis-à-vis overseas Indians, whether
for permanent relocation or on a part-time basis. One possibility
being discussed is that overseas Indians might be made eligible
to apply for government research grants.
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