SERVICES

BIOINFORMATICS SERVICES

The Sum is Greater than the Parts

Collaborations are essential to Pine Biotech’s success in understanding the challenges our customers face and the difference we can make, so we embrace the philosophy that the sum is greater than the parts. As a result, we developed extensive collaborations with research institutions across the US, Europe and India.
We welcome collaborations with other research organizations, industry and all faculty!

Our T-Bio Informatics Platform and the OmicsLogic educational program were developed by the experts from the Tauber Bioinformatics Research Center at the University of Haifa, Israel, under the guidance of its founders, Dr. Alfred Tauber and Dr. Leonid Brodsky. This research center recognized the importance of user-friendly bioinformatics tools and hands-on learning as exponential growth of data is transforming basic research and clinical applications. Together with research and industry collaborators, the team built an interactive ‘omics platform which contained built-in learning tips, an A.I. engine to guide decision making and a rich visual analytics interface to simplify the interpretation of the data.
Louisiana Biomedical Research Network (LBRN) was among the first organizations to recognize a growing curriculum gap for majority of life scientists, from undergraduate to faculty levels. LBRN leadership also understood how a training program in this important field will advance research capabilities throughout the whole state of Louisiana. With growing demand and significance of data science and the potential for undergraduate students to be active contributors to bench research, LBRN launched a summer 3-month pilot program to 50 students to deliver practical data analysis training with a focus on biomedical data. Soon, an additional 20 faculty and staff joined the program. In the Fall of 2018, LBRN together with Pine.bio, rolled out an expanded pilot program, with new modules offered to its members. To date, 100 students have enrolled and the expectation is that the program will continue to expand.
To bridge the gap between biology and data analysis, Pine.bio is working together with LSU Center for Computation and Technology to create a series of hands-on interactive “Bio-Bench Teacher Workshop” over the summer. The custom program was designed to supplement LSU’s existing bioinformatics infrastructure by making access to tools easier and more user-friendly. LSU strongly believes that data science, together with relevant biological context, will enable students to advance research through independent discovery efforts catalyzed by an effective ‘omics learning experience.
Pine Biotech has a long history of collaboration with the UCSF Andino lab focused on the mechanistic understanding of infectious diseases, specifically the positive strand RNA viruses. A recognized leader in this field, Dr. Andino operates a large lab that leverages its research to identify new assays for mechanistic understanding of host-pathogen interactions and design of novel vaccines and treatments. In 2017, Pine Biotech joined the team led by Dr. Andino under the DARPA INtercept program on a new type of treatment being developed for a range of emerging infectious diseases.
As a leader in medical science and education, Georgetown University Medical Center is taking a leadership role in developing graduate and medical curricula and expanding research in systems medicine, with an emphasis on AI and machine learning. A dual degree program MD/MS was launched in 2011 and a free-standing MS program was launched in 2016, championed by Dr. Sona Vasuvedan. The program, in collaboration with Pine.bio, aims to teach the basics of informatics and its applications to clinical practice using modules developed by Pine Biotech for its OmicsLogic program.
Aleph Therapeutics is a collaborator and partner for translational work in infectious diseases. Aleph Therapeutics is led by Dr. Robert Nakamura, an expert in vaccine development and innovative solutions for translational research in emerging positive-strand RNA viral pandemics. Together, out team is working on multi-omics integration, host-pathogen interactions and animal model phenotyping.

Featured Collaborators

Dr. Sona Vasudevan, is a Professor of Biochemistry and Molecular Biology.  She also serves as an adjunct senior bioinformatics scientist for Protein Information Resource (PIR) and directs the dual-degree program (MD/MS) in systems medicine, a program she created. Her expertise is in structural biology, structural bioinformatics, homology modeling, protein-ligand interactions, antibody-antigen interactions, drug-discovery and systems medicine.

https://systemsmedicine.georgetown.edu/

Dr. Raul Andino studies several processes of the replication cycle of RNA viruses, including the mechanism of RNA replication, expression, and RNA packaging. His lab has also developed a method of adapting positive-stranded RNA as a vaccine vector to express antigenic determinants derived from diverse pathogens.

https://andino.ucsf.edu/

Dr. Gus Kousoulas is an Associate Vice President for Research & Economic Development at LSU. Dr. Kousoulas joined the LSU faculty in 1988 and became full professor in 1994. He is currently professor of virology and biotechnology at the LSU School of Veterinary Medicine, with adjunct appointments at the LSU Department of Biological Sciences, LSU College of Science and the the Department of Microbiology, Immunology and Parasitology at the LSU Health Sciences Center in New Orleans, and the LSU Health Sciences Center’s Stanley S. Scott Cancer Center in New Orleans. He also holds an appointment in the School of Animal Sciences at the LSU AgCenter, and he is an affiliate member of the Tulane National Primate Research Center located in Covington, La.

https://lbrn.lsu.edu/people.html

JOIN US!

1. Help shape the future of thousands of students: become a partner, mentor or instructor.
2. Work with us develop a bioinformatics curriculum to give your students a competitive edge.
3. Advance your research through a collaborative effort our data scientists.