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Bioinformatics Opportunities

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Bioinformatics Opportunities Dr. B.N. Mishra, Head Department of Biotechnology Institute of Engineering & Technology Lucknow Presentation on 24-10-07 at conf on BPO& KPO – PowerPoint PPT presentation

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Title: Bioinformatics Opportunities


1
Bioinformatics Opportunities
  • Dr. B.N. Mishra, Head
  • Department of Biotechnology
  • Institute of Engineering Technology
  • Lucknow
  • Presentation on 24-10-07 at conf on BPO KPO

2
What 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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Bioinformatics Is a Merging of Disciplines
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Bioinformatics
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Industry 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.

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Market share of different Segments of
Bioinformatics
 
Genomics 50 Proteomics 20 Chemiinformatics 1
9 Pharmacogenomics 11
 
 
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Steps 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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The 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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Data Pipeline in Microarray Analysis
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At the Periphery of Bioinformatics
  • Medical Informatics
  • Clinical Trials (around 6 billion annually)

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  • 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.

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Outsourcing 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

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Outsourcing 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.
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Outsourcing 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
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  • 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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Research 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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Types 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.
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Bioinformatics Companies
  • Companies purely focusing on software
    development / provision of IT services
  • Companies integrating Biotech with
    bio-informatics

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What 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.

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  • 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.

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Indian 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.

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  • 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.  

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  • 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.

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  • 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. 

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Recommendation
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
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Recommendation
  • 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

41
Recommendation
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.
42
Recommendation
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.
43
Recommendation
? 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.
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Recommendation
  • 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.

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Recommendation
  • 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

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Recommendation
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.
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