Research & Development

Ongoing Projects :

Project : Database of Olfactory Receptor Subcluster and Leads , Funding Agency: Department of Science &Technology  KIRAN Division  Women Scientist Scheme- B (WOS-B)  (S&T Intervention for Social Benefit) HOST INSTITUTION K.S.Rangasamy College of Technology. Tiruchengode-637 215.Tamil Nadu.

 

Bioinformatics Research & Development  Services

  • Integrated Research Database Development and  Management
  • Next Gen Sequencing Analysis – Using Galaxy and Globus Online Software.
  • Cloud Computing in Data Management and Integration
  • Data Visualization in Biology: From the Basics to Big Data.
  • Life Sciences on Amazon Web Services
  • Software for Clinical Genomics,Medical, Research Education , Bioinformatics & Grant Management
  • IT Infrastructure – Hardware and software

 Big Data Solutions and End-User Perspectives

Networking infrastructure and compute management solutions to support big data. Service  to be covered include storage, management, security, regulatory, HPC technologies and techniques, and FPGA and GPU cards to reduce the need for large compute clusters.

Big Data and Scaling Biosciences Research

 The increased use of common database sources with petabytes of   stored data is driving new computing cluster architectures – EMR meets genomic and genetic data. Can your network keep up with increased CPU density bursts to 40GB or 100GB? How are you managing the growth of unstructured data? Do you have fast access to petabytes of processed data Parallelization of the data, storage, and analysis algorithms? Biocuration group is the leader in Life Sciences Data Center design, and attendees will learn about intelligent placement of compute to storage, as well as how to scale to meet the research needs while keeping the performance up and costs down.

 Life Science Computing

Health and Life Sciences continue to evolve as Information Technology provides new breakthroughs to make R&D more effective and accessible. Application Specific Computing, Big Analytics, Meaning Based Computing and Science Clouds As the life sciences community enters the age of data intensive science, knowledge discovery rests upon analyzing massive amounts of data. Cray is evolving the role of supercomputing by developing highly integrated computing and storage solutions that provide unique advantages to enable data-driven approaches. Cray is also actively engaged with the life sciences community to develop these next generation applications.  are quickly changing how and where science is done. In this talk, we will present trends and examples leading to the advent of “Information Driven Medicine.

 “Big Data” Analytics Appliance – Hadoop Simplicity for the Enterprise

Simplify Hadoop and deploy an analytics infrastructutre in hours, not months. Accelerates your time-to-insight by running Hadoop up to 7X faster. Eliminate programming requirements with a built-in ETL engine. Enable Hadoop-based bioinformatics applications like CloudBLAST and Crossbow. Up to 700% higher efficiency when compared to commodity to truly lower your TCO.

  Solving Age-Old Storage Management Problems

Starfish is commercial grade software that allows users (via GUI) and applications (via API) to associate metadata with files and directories in conventional file systems, tape archives, disk-based object stores, and cloud storage services. Biocuration Group is partnering with a number of thought-leading research institutions to define and refine the next generation of best practices for storage management. We are solving problems related to data protection, life cycle management across disparate storage devices, charge backs, curation, and collaboration within and across institutional boundaries. Oh, by the way, we do all of this at scale.

 Developing Scalable Production Software for a Clinical Molecular Diagnostics Lab

Large data analytics poses several challenges: 1. How can I afford to keep all of this data on-line? Discussions will center around cost effective architectures for long-term data archive and use. Additionally, 2. Where is the data? Is it in an online file system, near-line tapes, relational databases, sensor data streams or on the web? There are proven technologies that allow for the lifecycle management of data as well as schema that allow users to access data without worrying about where it is located, what protocol to use to connect and access the system and without establishing a separate account or password/certificate to each of the underlying computer systems to gain access, etc. Genomic information is one of the newest sources of insight. Learn how to integrate data and perform the analysis.

 Integration of High Throughput Omics Data Sets Using the Hadoop/HBase Platform

The scalable biological data warehouse system being built at the warehouse is being designed to store and manipulate data into the high terabyte range. A summary will be given of the current state of data storage capabilities and parallelization of analytics work.

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