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Enabling Students and Faculty to Conduct Research in the Age of Big Data

OmicsLogic Training Programs are designed to address the pressing needs of students, faculty and researchers to deal with growing amounts of high throughput data generated in life sciences. With a focus on accessibility, hands-on practice and project-driven design, these modules will help you get started and grow in bioinformatics.

Bioinformatics: Biology As Data Science

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.

OMICSLOGIC SUMMER PROGRAMS

OmicsLogic conducts online mentor-guided training programs that are designed for a more in-depth review and preparation for independent research. Each one of the OmicsLogic programs is designed with a mix of online workshops, self-directed tutorials and hands-on exercises. You can explore all the upcoming winter programs here - https://learn.omicslogic.com/programs

Introduction to Bioinformatics

Introduction to Bioinformatics - this training program is designed for everyone, including students who don't have a background in bioinformatics, as well as life science researchers. The objective is to introduce topics and examples to help participants understand Omics data, and the use of bioinformatics in life science research. As a result of this training, you will learn about Next Generation Sequencing (NGS) data analysis.

This includes processing and preparing data for analysis in application to Genomics, Transcriptomics, and Metagenomics. You will also get an overview of downstream analysis and interpretation of various types of -omics data using bioinformatics, including commonly used annotation databases, statistical analysis and machine learning techniques.

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An online program on next-generation sequencing (NGS) Data Analysis in application to gene expression data with project examples from infectious diseases, cancer & neuroscience hosted by Pine Biotech.

This online program will introduce real-world applications of RNA-seq data analysis in biomedical research and provide participants with hands-on skills and logical background to extract insights from gene expression data. We will review the methods and history of quantitative and qualitative analysis of mRNA expression. Practical sessions will guide participants to use the methods we review on several project datasets to practice generating a table of expression from raw FASTq files and perform subsequent analysis of this table of gene and isoform expression.

Introduction to Cheminformatics

It has been well established that discovering and developing drugs is an extensive and expensive process. However, since 2020, there has been a phenomenal demand to increase the use of bioinformatics, cheminformatics, and the use of ML and artificial intelligence for vaccine and drug development. With the rapidly growing amount of complex healthcare and biological data and the increasing complexities of analysis, everyday cutting-edge innovations are bringing new things to learn, it is quite challenging for beginners to start their research journey.

This research training is developed in collaboration with the Omics Logic Industry expert panel (FABA, Pine Biotech & Industry partners) to help students, researchers, and scientists utilize structure biology and apply cheminformatics for drug discovery. 

Research Fellowship in Computational Biology-2-1

The Research Fellowship program has been designed to help young researchers and students take advantage of the bioinformatics resources for analysis of complex life science data and become versed in bioinformatics.

Research Fellows participate in cutting edge bioinformatics research led by expert mentors.

The fellowship program will offer a combination of online resources and mentor guidance to prepare you and help you complete a bioinformatics project. Registration fees cover the costs of training, mentorship and big data T-BioInfo Server.

The platform is a cloud-based analytical server used by research labs and independent scientists around the world. 

After completing a specialized training program, students/researchers can enroll themselves in the OmicsLogic Research Fellowship Program and work on an independent research project. 

This program has been designed to help young researchers and students take advantage of the bioinformatics resources for analysis of complex life science data and become versed in bioinformatics. Research Fellows participate in cutting edge bioinformatics research led by expert mentors. The fellowship program will offer a combination of online resources and mentor guidance to prepare you and help you complete a bioinformatics project. Registration fees cover the costs of training, mentorship and big data T-BioInfo Server. The platform is a cloud-based analytical server used by research labs and independent scientists around the world. To learn more & register, visit: https://edu.omicslogic.com/omics-logic-research-fellowship

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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. 

LSU-GeneLab-BioMMED - OmicsLogic Training

Designed for LSU students, faculty and researchers to deal with growing amounts of high throughput data generated in life sciences.

Tulane University

Designed for Tulane University students, faculty and researchers for multi-omics, data science & structural biology training and research.

NAIPI - OmicsLogic Training

Designed for IDeA State Universities students & faculty for Project Based Training Modules in Bioinformatics and Data Science. 

Amity University - Jaipur - OmicsLogic Training

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. 

 

Chandigarh Group of Colleges - OmicsLogic Training

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.

Amity University - Noida - OmicsLogic Training

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

Undergraduate

Programs that offer bioinformatics as an elective or special topic

Graduate

Specialized in application or development of new methods

Post-Graduate

Programs for researchers and faculty training

Companies Are Hiring!

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 Pharmaceutical Companies

 Big pharma needs big data to   make decisions about new   treatments, biomarkers and   clinical trials.

Clinical Research Organizations
Clinical Research Organizations (CRO)

Deciding on who to recruit and how to set up data collection based on genomic profiling

Bioinformatics and Biotechnology
 Bioinformatics and   Biotechnology

 From new vaccines to better food   supply, these are jobs and   research projects of the future.

Other Industries
Other Industries

A profession, research field or as an asset to start a new business of your own.

Mentors

Dr. Ragha vendran

Research Consultant & Bioinformatics Mentor, Pine Biotech

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.

Director, Systems Medicine MD/MS at Georgetown University, USA

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

Business Development Head, Pine Biotech

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.

Research Mentor and Director of Training at Michigan State University, USA

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. 

Julia Panov

Associate Director, TBRC, Haifa University

Associate Director at the Tauber Bioinformatics Research Center, Haifa University, Israel, Big Data Omics Analysis, Integration and Modeling

 

 

 

 

 

 

Dr. Harpreet Kaur

Curriculum & Research

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.

Research Fellow at Noguchi Memorial Institute for Medical Research (NMIMR), Ghana

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

Ph.D. in Bioinformatics, Postdoctoral Scholar at University of Chicago

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.

 

 

 

In collaboration with
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