Accelerating Biology 2019

Preamble

The data generated in life sciences currently needs a digital transformation in order to derive inferences that prove to be decisive for the human race. The researchers worldwide are facing the pressure of designing innovative technologies that would be capable of analysing the big data produced in life sciences. Conversely, the rate of data accumulation would never slow down making it even more difficult to decode the information hidden within it. The diversity of expertise in the field of life sciences is spread worldwide, presently, the only way to connect and share information is possible through the creation of public domain data repositories. Public domain repositories are databases that consists of life science data in the form of sequences, structures, protein/gene networks, metabolic pathways, homology-based information, literature to name a few. However, only limited information gets accessed by a researcher on an average. At every point of knowledge transfer a lot of information already available goes unvisited. This creates a need for building a strong knowledgebase which can be searched efficiently to deduce the information required. Semantic querying for accessing the knowledgebase can be made possible with the incorporation of data cataloguing.

Here comes the role of intelligent machines that can simulate the human thought and provide a problem solving environment to researchers. This is achieved by artificial intelligence algorithms which along with big data constitute cognitive computing technologies. Cognitive computing is one such technology which can prove to be a boon to the life sciences researchers. Cognitive computing builds model that can learn, provide reasoning and draw inferences. Human thought process includes observation, interpretation, evaluation and decision making. In terms of artificial intelligence it corresponds to data aggregation, comprehension and analysis. However, human intelligence has the drawbacks of scalability and bias which are very well handled by artificial intelligence. The decision making ability present in cognitive computing out powers the human bias by continuously evolving its underlying algorithms with the updated data. The systematic amalgamation of knowledgebase development and deep analytics algorithms would guide the life science community to achieve predictive therapeutics. The current data analytics approaches are driving the life science professionals towards “Thinking Machines”.

In this backdrop, the symposium targets towards bringing together researchers and professionals to generate actionable intelligence from the vast knowledgebase available in the area of life sciences.

Focus areas

  • Towards Predictive Therapeutics
  • Mimicking Biomolecular Events
  • Genome Analytics
  • NGS Applications in Medicine & Agriculture
  • Cognitive computing in Life Sciences
  • Ayurveda & Next Generation Therapeutics

Speakers:

Details will be uploaded soon

 

Technical Programme
Details will be uploaded soon

Know Us

Centre for Development of Advanced Computing (C-DAC) with its genesis in the year 1988 as a national initiative of Ministry of Electronics and Information Technology (MeitY), Government of India, embodies the spirit of indigenous high-end research and development for state -of -the-art technologies and solutions. As a scientific society, C-DAC has been continuously engaged for over two and a half decades, towards the design, development and deployment of electronics and advanced Information Technology (IT) products and solutions for the benefit of the society. C-DAC's thrust in meeting the national agenda has manifest itself in the execution of several key projects, leading to the creation of a strong brand equity for its inherent expertise and capabilities, in the global context. Presently, this expertise extends to the field of High Performance Computing (HPC) fueling various scientific, engineering and business applications. Fostering an environment of innovation and dealing with cutting edge technologies, C-DAC's PARAM series of supercomputers, the latest being the 524 TF PARAM-YUVA-II, have been used to address these diverse applications at various national and international institutions. The implementation of the Garuda Grid has seen the optimal usage of HPC resources spread across the nation in a congregated manner accelerating scientific research. In-house developed hardware components in the form of Reconfigurable Computing System (RCS) cards specific for particular scientific applications have accelerated them many fold. Over the years the Bioinformatics Group of C-DAC has developed into an active centre of bioinformatics research, applying HPC to accelerate biological research towards the betterment of human life.

Bioinformatics@C-DAC

The Bioinformatics Group at C-DAC leverages on the inherent technological expertise to delve into complex biological systems and develop an understanding of underlying processes by providing high throughput solutions and services. The group has a dual capability of expertise in advanced areas of research in computational biology along with understanding of High Performance Computing. The activities of the Bioinformatics Group are aimed towards acquiring in-depth knowledge and understanding the various strata of bio-complexity and hence include an entire spectrum of data analyses and essential research consumables. Various in-house research activities are being carried out which include genome sequence assembly, microarray data analysis, structure-based drug discovery, protein folding and various molecular dynamics simulation using advanced Molecular Modelling techniques. Backed by its Bioinformatics Resources and Applications Facility (BRAF), the team has developed an entire spectrum of tools, databases and allied resources for research to address current and future Bioinformatics challenges.

The group has active collaborations with a number of eminent research organizations and industries, national and international such as Pirbright Institute (UK), Roslin Institute (UK), University of Surrey (UK), Oregon Health and Science University (USA), NIH (USA), Bard College (USA), University of Illinois (USA), National Centre for Cell Science (Pune), University of Pune (Pune), IIT Madras (Chennai), Tata Memorial Hospital (Mumbai), National Chemical Laboratory (USA), Ventri Biologicals (Pune), IBB (Pune), ACTREC (Mumbai) and industries like Lupin Ltd. Pune

Poster Submission and Young Speaker program

All registered participants are encouraged to make a poster presentation of their recent research activities and submit an abstract, not exceeding 250 words.The confirmation of poster selection will be notified by January 11, 2019.

Poster size should be 3ft X 4ft. Material to be required for mounting the poster will be provided by organizers.

The posters would be evaluated and the best few will be allowed for oral presentation in the "Young Speaker Program".

Abstract Guidelines:

  1. The title should summarize the abstract and convince that the topic is important.
  2. Provide the names and department affiliation of all authors who contributed to the project.
  3. Italicize your faculty mentor’s name and provide the department affiliation.
  4. The word limit is 250 words.
  5. Use font Callibri, font size 12 and line spacing 1.2.
  6. The document should be submitted as a MS Word document (doc). A pdf is not acceptable.
  7. Email your abstract to ab2019@cdac.in

Note: Name of presenting author should be underlined and certificate will be given only to presenting author.

Accommodation

For accommodation, following are the details of suitable hotels and guest houses, where participant can approach directly for bookings and payments on their own.

List of Hotels:

Click here for the list of hotels (File Format: PDF, File Size: 321 KB, Date: 20/08/2017)

Important Dates

Events Dates
Registration Start Saturday, 1 September 2018
Early Bird Registration End Friday, 30 November 2018
Registration End Friday, 4 January 2019
Abstract Deadline Friday, 4 January 2019

Early Bird Registration

Register early for the "Accelerating Biology 2019: Towards Thinking Machines" symposium at lowest registration fees. Early bird registration is available till 30th November 2018.

Group Registration:

For group registration more than 10, kindly send request to ab2019@cdac.in

For BRAF users:

For BRAF users special discount of ₹ 500 per user for existing BRAF user (Valid BRAF users already accessing BRAF on or before 15 Aug 2018).

It is compulsory to submit a poster to avail BRAF user discount of ₹ 500:

To avail BRAF user discount download the form and send the duly filled form along with IMPS/NEFT/UPI transaction receipt, institute's authorization letter or ID card photocopy duly signed and stamped by the HOD to ab2019@cdac.in.
In subject line kindly mention “AB2019: BRAF Users Form -{BRAF account login name}”

example: Subject: AB2019: BRAF User Form - vivekg

Alternatively, applicant can also send the form along with all attachments through Post to following address:

Convenor: Dr. Rajendra Joshi
Kind Attn: Ms. Jyoti Chougule
HPC- Medical and Bioinformatics Applications Group,
Centre for Development of Advanced Computing (C-DAC), Innovation Park,
Panchavati, Pashan, Pune - 411 008, India.

Registration form for BRAF users (File Format: PDF, File Size: 512 KB, Date: 27/08/2017)

Registration Fees

Category *Fees Early Bird Fees
(till 30th November 2018)
Student ₹ 2400/- ₹ 1800/-
Academic/Govt. ₹ 3600/- ₹ 3000/-
Industry ₹ 5400/- ₹ 4800/-

(*Fees are inclusive of GST)

Note: Registrations and Fees once confirmed are non-transferable & non-refundable

The registration fee includes symposium kit, breakfast, tea/coffee during breaks, lunch and dinner during symposium days.

Payment method

Payment for symposium is to be done through online transactions through NEFT / UPI before registration. The transaction id of the payment made is required for registration. Total Amount payable can be found on “Registration Fees” section.

The account information for online payment is:

Account Number: 0600104000075688
IFSC Code: IBKL0000600
Account Holder Name: C-DAC, Pune Bio Symposium
Benificiary Bank Name: IDBI Bank
Bank Address: Ashoknagar Branch, Pune 411016

NOTE: Kindly note the transaction id for future reference.

Registration

Kindly make online payment before registering. Payment transaction id is required for registration.

Registration Now

Symposium Venue

Indian Institute of Science Education and Research (IISER),
Dr Homi Bhabha Rd,
Pashan, Pune,
Maharashtra 411008

Contact details

Convenor: Dr. Rajendra Joshi
Kind Attn: Ms. Jyoti Chougule
HPC- Medical and Bioinformatics Applications Group,
Centre for Development of Advanced Computing (C-DAC), Innovation Park,
Panchavati, Pashan, Pune - 411 008, India.
Tel: 020-25503272
Email: ab2019@cdac.in