Title: Bioinformatics Opportunities
1Bioinformatics Opportunities
- Dr. B.N. Mishra, Head
- Department of Biotechnology
- Institute of Engineering Technology
- Lucknow
- Presentation on 24-10-07 at conf on BPO KPO
2What is Bioinformatics?
- Bioinformatics is the application of computer
technology and statistics to the management of
biological information. - In the past decade bioinformatics has become an
integral component of research and development in
biological sciences. - The need for bioinformatics stems from a
fundamental change that is taking place in
biology.
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6Bioinformatics Is a Merging of Disciplines
7Bioinformatics
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11Industry Characteristics
- The global Bioinformatics industry has grown at
a double-digit growth rate in the past and is
expected to follow the same pattern in the next
four years. US remains the largest market in the
world, but Asia-Pacific countries, particularly
India and China, are witnessing the fastest
growth and are anticipated to emerge as the
dominating forces in future.
12Market share of different Segments of
Bioinformatics
Genomics 50 Proteomics 20 Chemiinformatics 1
9 Pharmacogenomics 11
13Steps involved in bringing a drug to market
- Identifying drug target Genomic, Functional
Genomic, Proteomics - Screening for an affective chemical High
throughput screening, virtual screening,
combinatorial chemistry - Animal Trials in-silico prediction of metabolic
pathways effected by the drug - Drug Development and Clinical Trials data
management, analysis
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15The Role of IT in Bioinformatics
- 1. Electronic Data Capture
- 2. Data Mining
- 3. Data Warehousing
- 4. Data Visualization
- 5. Customized Software
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17Data Pipeline in Microarray Analysis
18At the Periphery of Bioinformatics
- Medical Informatics
- Clinical Trials (around 6 billion annually)
19- The gap between medical informatics and
bioinformatics is closing. Patient data is being
integrated with genomic data. - Data mining in clinical trials, patient data for
adverse effects, efficacy of drugs, etc - Represents a major opportunity for outsource.
20Outsourcing Model in Technology Businesses
- Outsourcing has developed as an important
concept in today's business. - 1) Focus on core strength - the opportunity cost
of adding a new segment of services to an
existing business is high. Companies prefer to
not diverge from their focus on their core
competencies, and stay competitive. - 2) Improve operational efficacy and stay
competitive the outsourcing partner can be
relied upon to choose the best technology for
automation
21Outsourcing cont. 3) Leverage top talents from
the bioinformatics companies companies can
make use of the best resources engaged in IT
services without having to worry about
recruiting, training and retaining
professionals 4) Minimize on total cost of
ownership the rate of obsolescence is very
high in the IT sector. Companies who outsource
do not have to bear the replacement costs that
accompany obsolescence.
22Outsourcing cont. 5) Improve service delivery
to customers the company can dictate to the
outsourcing partner the timelines it is required
to meet. 6) Reduce cost and time the time
spent otherwise on planning and development is
saved and better utilized to managing the
existing resources. 7) Expand service portfolio
companies can extend their services without
having to invest on building in house
capabilities
23- Outsourcing
- Inspite of a tremendous increase in demand, the
US educational stream has not significantly
increased the production of scientific
workforce. - As a result cost of research has gone higher.
- Many companies are realizing that they can get
their research done abroad, at cheaper cost,
without any compromise in quality. - In clinical trials for example, GSK (Glaxo smith
Kline) has announced that it will shift 30 of
its clinical trials to countries like India and
China.
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27Research Scientists and Internal
Bioinformaticists Would Like
- Integration of public, proprietary, and 3rd party
data through one interface. - Ability to perform cross-database queries.
- Rapid searching of large volumes of data with
the ability to control filtering. - Indication that new, relevant information is
available.
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31Types of Bioinformaticspeople
Bioinformatics Scientist-a laboratory scientist
who has skills with Unix, Perl, SQL, etc., knows
the limitations of available bioinformatics
tools, and uses these tools and his/her
scientific knowledge to help the validation
process in the lab. Bioinformatics
Programmer/DBA-a programmer/DBA who understands
the biological questions being asked and has
expertise in Unix, Perl, SQL, C, Java, XML,
etc. in order to build bioinformatics databases
and applications. Bioinformatics IT
Administrator a system administrator who is able
to create and maintain a hardware infrastructure
that can handle the data formats, file sizes, and
application requirements for essential and
high-throughput bioinformatics endeavors.
32Bioinformatics Companies
- Companies purely focusing on software
development / provision of IT services - Companies integrating Biotech with
bio-informatics
33What Is a Bioinformatics Company Like?
- Consists of Biologists, Computer Scientists,
Mathematicians and Marketing people. - Active participation of client in the
development stage - Only those companies who are able to adapt and
innovate will survive.
34- A great deal of competition exists in the field.
- For any new company offering bioinformatics
services or products, proof of concept, will
be essential. This means that a nascent company
will need to demonstrate its ability before
getting business.
35Indian Companies
- Indian IT companies such as Tata Consultancy
Services (TCS), Cognizant Technologies, Infosys,
Wipro, and Satyam have already set up their
bioinformatics divisions. - Biotech Park, Lucknow is engaged in facilitating
the industry and RD institute interface for
development of various softwares and databases.
ACS-bioINFORMATICS at Biotech Park is engaged in
clinical data management as well as datamining
services for drug discovery and vaccine
designing. - TCS has entered the bio-informatics market with
its indigenously developed computing platforms
and applications (Biosuit). The company is
nurturing a big team that is working on
development bio-informatics software solutions.
36- A database application, specially created for the
bioinformatics segment is in the pipeline. TCS is
also looking at developing bio-informatics
software applications in collaboration with
biotech and pharma companies.
37- Satyam's Center of Excellence has identified Data
warehousing and Datamining as a key initiative
area in the field of bio-informatics since the
field is an emerging domain where data
warehousing and datamining techniques and
concepts are used extensively for deciphering
complex patterns and to correlate and analyze the
vast volumes of data generated.
38- Pharmaceutical companies too, are making moves
into the bioinformatics arena. GVK Biosciences,
Dr. Reddy's Laboratories, Biocon, Astra Zeneca,
Ranbaxy, Biological E, and Nicholas Piramal are
some of the names that have either opted for the
joint venture route or have tied up with start-up
companies.
39Recommendation
Suggestions on how to develop bioinformatics
business in India can be divided into three
broader categories. 1. Raising
Awareness 2. Development of Human
Resource 3. Business Model Development
40Recommendation
- Awareness
- ? Raising Awareness about Bioinformatics
Opportunities. - Workshop for promotion of Bioinformatics Business
in India - Business Model and Policy Initiatives
- Bioinformatics will develop along with
biotechnology - First focus on local market
- a. Collaboration with local researchers and
industry - b. Collaboration with the bioinformatics
suppliers, Contract Research might be the first
step - Support to the manpower
-
- Public Private partnership
41Recommendation
In the field of bioinformatics and biotechnology
, the partnership between industry and academia
would take two forms. 1. The academic
institution outsources translational work,
development of a marketable products, any
database or software product to a commercial
company, the copy right is maintained by the
academic institutions. 2. The academic
institution and the industry collaborate in the
entire project and share the copy right / patent.
42Recommendation
Following steps are recommended to facilitate
industry-academia partnership ? Understanding
the industry environment and market environment
through techno-economic market surveys ? Invento
rying the transferable technologies available
within the BTIS network and making them
available on the public domain ? Developing an
Industry-Institution Partnership programme at
national, regional and international level.
43Recommendation
? Promoting the growth of business incubators in
the field of bioinformatics ? Provision for
industrial and entrepreneurial consultancy
services ? Encourage enterprise creation
through liberalized flow of foreign capital,
outsourcing, infrastructure generation
etc. ? Adequate emphasis on human resource
development that suits the requirement of the
industries.
44Recommendation
- Seeding Grants to develop bioinformatics
Expertise - Creation of a Model Bioinformatics Company
- DBT support for bioinformatics education and
startups - Clearing House
- A web based clearing house, comprising the list
of projects (provided) and IT tools/ softwares
(also provided) should be maintained by DBT. This
would serve 2 purposes. - 1. It will allow Indian practitioners to form a
community of their own, where they can share
information with each other. - 2. It will publicize their competence to attract
customers for both local and international
market.
45Recommendation
- Private entrepreneurship model for
Bioinformatics - Foreign Assistance for Human Resource
Development - Need for Resource Integration
- Development of Human Resources
- What sort of bioinformatics experts would be
needed by Industry - Collaboration between Bioinformatics
Educational Institutes and Researchers
46Recommendation
Funding of Bioinformatics Research
Government support of Bioinformatics
programs Combine scientific expertise with
Entrepreneurial Skills Advocacy for
improvement in School level Education General
directions and suggestions can be given but the
field will develop once Bioinformatics will
require IT experts and biologists to sit together
and collaborate with one another.