Enabling Students and Faculty to Conduct Research in the Age of Big Data
OmicsLogic is a program that embeds data-driven concepts into biological projects, spanning the student learning journey from observer to participant in research. This journey begins with identifying an interesting biological research problem or question that can be answered with data, continues with the collection and organization of data, and concludes with students interpreting and drawing conclusions about the data.
Learn both the theoretical and practical aspects of Bioinformatics
What is Omics Logic?
A Growing Community of Students, Experts and Mentors
Our community leverages publicly available data, online tools for big data analysis and a network of mentors to help students learn bioinformatics, apply their skills to meaningful research projects and work with mentors on turning their projects into publications or research posters. The programs we offer provide training, access to high quality tutorials and tools anyone can learn to use independently. The program is offered at university, high school or community college levels as well as directly to citizen scientists around the world.
Opportunities to leverage what you know, discover a lot more and make a difference.
While learning biotechnology, biochemistry and immunology (among other things) might be your passion, in every one of these domains analysis of experiments and clinical data is of a growing importance. While many prefer to rely on external experts to analyze their data, the understanding of basic principles behind such analysis is critical to be able to extract meaningful and reliable information that is critical for discovery. Research in life sciences is seeing an exponential growth in data volume, complexity and variability, placing bioinformatics, or data science for biological data, central to the learning path of anyone in this field.
T-BioInfo is a powerful big-data analytics platform designed for biologists and clinicians that have to deal with large multi-omics datasets. This user-friendly solution simplifies analysis and allows anyone to handle their own analysis without relying on technical support to set up computational environments and pipelines for processing. This user-friendly solution comes with extensive training to prepare anyone for advanced computational analysis, visualization and annotation. To learn more or try the T-BioInfo platform, register for a free demo account and connect with one of our representatives: https://server.t-bio.info/
What does the platform offer?
The T-BioInfo platform offers a single interface to access various processing capabilities like phylogenetic tree reconstruction, multiple sequence alignment, variant calling from NGS genomic data, transcriptomic analysis of RNA-seq data, 3D structural analysis, and screening of small molecules as well as specialized pipelines for oncology, virology, neuroscience, and agrobiological applications.
Big Data Processing
Various types of Omics data can be analyzed and integrated on the T-BioInfo platform. Genomic, Transcriptomics, Epigenomics and Metagenomic data can be analyzed and visualized. This is done through a pipeline builder that can also be used as an educational tool to understand the logic behind each step. Each method is explained with user-friendly inputs and a variety of visual and table outputs.
Multi-omics integration means we can combine molecular signatures from various omics as descriptors. The T-BioInfo platform offers a streamlined workflow for integration with technical ease of use. In order to find meaningful associations in heterogeneous multi-omics datasets, a mix of supervised and unsupervised multi-omics integration approaches are available like SNF tools, iCluster Plus and BiClustering.
Large datasets are useful in many more ways than the standard statistical analysis can show. Due to the complex patterns in omics data, sensitive methods for biomarker discovery, target identification, and pattern analysis are a major part of meaningful analysis. The T-BioInfo platform makes machine learning easy to use with datasets processed on the platform or provided by the user. These include classification, regression, clustering
Find Your Campus
There are opportunities to leverage what you know, discover a lot more, and make a difference.
As a student, you might be thinking about how your skills in bioinformatics can make a difference and what can you do to make an impact. That is where finding the right academic programs, knowing what kinds of topics they specialize in, and targeting a profession that will help you make a difference are critical. During the symposium, our speakers will share information about the programs they are associated with and what their focus is on. Companies will tell you about the skills and experience they are looking for.
Designed for LSU students, faculty and researchers to deal with growing amounts of high throughput data generated in life sciences.
Designed for Tulane University students, faculty and researchers for multi-omics, data science & structural biology training and research.
Designed for IDeA State Universities students & faculty for Project Based Training Modules in Bioinformatics and Data Science.
Designed for Amity students & faculty to get training and apply their bioinformatics skills in research and industry projects as interns and research fellows with the company.
Designed for CGC students to introduce them to the field of bioinformatics & data science and work with faculty's area of interest through internships and research fellowships.
Designed for Amity for students & faculty to get training and apply their bioinformatics skills in research and industry projects as interns and research fellows with the company.
University Programs for M.Sc. and Ph.D. Degrees
Programs that offer bioinformatics as an elective or special topic
Specialized in application or development of new methods
Programs for researchers and faculty training
Companies Are Hiring!
Big pharma needs big data to make decisions about new treatments, biomarkers and clinical trials.
Deciding on who to recruit and how to set up data collection based on genomic profiling
From new vaccines to better food supply, these are jobs and research projects of the future.
A profession, research field or as an asset to start a new business of your own.
Dr. Ragha vendran
Dr. Raghavendran L. is a computational biologist with experience in large-scale analysis of multi-omics data and data science methods in precision oncology, and protein/DNA structural bioinformatics. Applying his proficiency in Python, R and Shell scripts for Bioinformatics, he is interested in translational approaches to understand cancer biology, neurological disorders and plant bioinformatics.
Dr. Sona Vasudevan, Ph.D.
Dr. Vasudevan's research includes comparative genomics, protein classification, protein homology modeling, and molecular dynamics simulations to look at the effect of SNPs in breast cancer, evolutionary analysis, systems biology, and translational informatics. She has contributed to the development of several well-known bioinformatics tools for sequence and structure analysis.
Dr. Mohit Mazumder
Dr. Mohit Mazumder who is an experienced bioinformatician with multiple publications in peer-reviewed journals and collaborations in industry and academia. Over the past several years, he has been developing collaborations with universities as a mentor and project-lead for Omics Logic training and research fellowship.
Dr. Laura Harris, Ph.D.
Dr. Harris is an educator who enjoys developing curriculum that involves use of computational resources. She also enjoys mentoring others in data science and biomedical research. Her projects use bioinformatic and basic laboratory approaches to examine gene expression changes associated with antibiotic resistance in bacterial species, microbial-induced cancer, and SARS-CoV. Dr. Harris is involved with the American Society for Microbiology and has co-authored several educational and scientific papers.
Associate Director at the Tauber Bioinformatics Research Center, Haifa University, Israel, Big Data Omics Analysis, Integration and Modeling
Dr. Harpreet Kaur
Dr. Harpreet has an expertise in the application of statistical, Machine learning techniques on Biomedical data, and the development of Prediction tools and Databases. and looks after the curriculum development, bioinformatics and data science course development.
Dr. Anita Ghansah, Ph.D.
Dr. Ghansah is a researcher based at the Noguchi Memorial Institute for Medical Research in Accra, Ghana. Her research includes building capacity in the use of P. falciparum genomic data to describe the extent of genetic diversity of the parasite, discovery of new genes and SNPs that may have biological importance and development of novel genetic analysis tools for studying well defined phenotypes such as drug resistance and vaccine efficacy.
Dr. Gepoliano Chaves
Dr. Gepoliano is highly skilled in Molecular Biology, Biochemistry, Bidimensional gel electrophoresis, DNA and RNA sequencing using Illumina and Pyrosequencing technologies, Nanotechnology, Biosensing using nanopipettes, RNA-Sequencing analysis, Genome Wide Association Study (GWAS) analysis.