Poster Presentation Competition: Omics Research Symposium 2022
The Omics Research Symposium 2022 was held on March 31 & April 01 2022, to address one of the many challenges faced by students around the world - the opportunity to present their research and network with peers and experts in the field. The symposium brought together students, researchers, faculty, and industry experts to discuss recent advances in the research, education and training in the field of bioinformatics and data science. The Poster Presentation Competition provided the participants with an opportunity to present their research and receive expert feedback about their work.
Omics Research Symposium 2022: Poster Presentation Competition
The participants of the poster presentation competition comprised students, researchers and faculty members from various institutes and universities around the world who presented their research work on topics ranging from Multi-Omics, Data Science, Agriculture and Space Omics. We received around 50-60 abstract submissions out of which 10 research abstracts were shortlisted based on the literature review and theme of the research project. 13 abstract submissions were from Pine Biotech Research Fellows and 8 were from other research institutes and universities.
We were pleased to have amongst us a dedicated panel of judges for the poster presentation competition from leading research universities and industries. Amongst the panel of judges, we had Dr. Vivek Das who is the Senior Research Scientist, at Novo Nordisk, Denmark. The Omics Research Symposium was also graced by the talks of Dr. Verena Ras who is the Training Coordinator at H3ABioNet, South Africa. From the University of Haifa, Israel, we were fortunate to have with us Dr. Julia Panov who is the Associate Director at Tauber Bioinformatics Research Center. We were also delighted to have with us Dr. Priyanka Narad, Associate Professor, Amity University, India. Last but not the least, we were delighted to hear from Mr. Darko Medin who is the Data Scientist, ML & AI at Ednaz Group, Japan. The posters were evaluated by the judges on criteria which were scored based on the title of the poster, relevance to the theme of the conference, methodology, results, legibility, reference and outlook of the poster (color, spacing and balancing).
We received abstract submissions on a wide range of interesting topics on which the participants had presented their research posters. Here is a glimpse into the research projects that the participants had presented:
- Identification of novel therapy targets in psoriasis skin - An isoform approach by Susana Poveda.
- Transcriptomic Analysis Of Clinical Data in COVID 19 by Vedika Rai.
- Analysis of Hepatocellular Carcinoma Transcriptomic Data for Drug Repurposing by Sonalika Ray.
- Effects of Microgravity on Human Induced Pluripotent Stem Cells- Cardiomyocytes (Cardiac and Muscle Activity) by Ojasvi Dutta, Shubham Kumar.
- A Cell-type-specific Machine Learning and Protein Interaction Approach to Identify Autism Risk Genes by Andrew Lee.
- Microbiome of four different lung diseases: A comparative 16s rRNA metagenomics to understand the diversity and functional profiles by Pownraj Brindangnanam , Vanlalrovi, and Mohane Selvaraj Coumar.
- Oncogenic and non-oncogenic class prediction for Human Papillomaviruses using genomic data and machine learning by Karamveer, and Basant K Tiwary.
- Assessment of Traditional and Genomic Screening in Newborns and their Applicability for Africa by Rissy M. Wesonga, and Olaitan I. Awe.
- In Silico Comparative Transcriptomic Analysis Of Endemic And Epidemic Kaposi’s Sarcoma by Harini Balasubramanian.
- In-silico Analysis of Transcriptomic responses to UV and Ionizing Radiation in human cells by Kashish Kundu.
- Unsupervised clustering suggests multiple classes of opioid use disorder patients by Yeonjoo Hwang.
- Differential Tumour Microenvironment Response to PD 1 Checkpoint Inhibition by Shinjini.
- Comparative transcriptomic analysis to understand the role of melanin by Gautam Chauhan.
- In Silico Analysis of Differentially Expressed Genes and their Pathway Analysis in Prostate Cancer by Dhaval Kumar Srivastava.
- Surveillance of SARS-CoV2 Variants of Concern from Wastewater Samples by Ritu Sharma.
- Identification of Pathway Leading to Ototoxicity by the use of Cisplatin by Mrinal Bamhotra, and Yachita Gupta.
- Racial Disparities in Thyroid Cancer Biomarker Testing by Dr. Eman Toraih.
- Gene Expression Meta-Analysis of Colon Rectal Cancer Tumour Cells Reveals Genes in Association With Tumorogenesis by Rutvi Vaja.
- Revealing The Genetic Basis and Enhancing The Predictive Analyses of Alzheimer’s Disease Through SNP-disease Association by Zainab Alsheikh, Mayar Ahmed, Menattallah Elserafy, and Eman Badr.
- Oral Potentially Malignant Disorders and Oral Squamous Cell Carcinoma: Salivary proteomics as Biomarkers by Mohana BP, Ankita Kar, Stany Mathew, Shweta V.
- Developing Novel Drug Candidates for MDD, MMD, and Hypertension: Producing cGMP by targeting the HNOX Domain in Soluble Guanylyl Cyclase by Nambita Sahi.
Brindangnanam Pownraj won the first prize for “The Best Technical and Research Project On A Competitive Topic” for her poster presentation titled - “Microbiome of four different lung diseases: A comparative 16s rRNA metagenomics to understand the diversity and functional profiles”. She is currently a Ph.D student at the Department of Bioinformatics at Pondicherry University.
The second prize for “Promising Research Direction For Future Potential” was a tie between two groups. Dr. Eman Toraih won the second prize for her poster presentation titled “Racial Disparities in Thyroid Cancer Biomarker Testing”. She is currently an Assistant Research Professor, the Department of Surgery at Tulane University School of Medicine.
Ojasvi Dutta and Shubham Kumar also won the second prize for their poster presentation titled “Effects of Microgravity on Human Induced Pluripotent Stem Cells- Cardiomyocytes (Cardiac and Muscle Activity)”. Ojasvi Dutta and Shubham Kumar are bioinformatics post-graduate students from Panjab University who completed their research project under the guidance of R.L.Narayanan and Elia Brodsky at Pine Biotech.
The third prize for “Most Innovative Approach In An Established Domain” was won by Andrew Lee for his poster presentation titled “A Cell-type-specific Machine Learning and Protein Interaction Approach to Identify Autism Risk Genes”. He is currently a Data Science Research Intern at Columbia University and he also completed his research project under the guidance of R.L.Narayanan and Elia Brodsky at Pine Biotech.
The Pine Biotech Research Fellowship Program is a structured program that guides students through various areas of Big Data Bioinformatics Research using practical examples. During this program, we go through several high-quality research publications and learn about applications of computational biology in projects these publications describe. This allows beginners to try computational biology techniques on public domain data, making it possible to work with large files and extract meaningful information from patient samples, animal models, cell lines, and microbiota. The program provides support and mentorship, therefore it is an intensive research program involving training tasks, access to our online sessions and a guide on the implementation of learned skills to proposed research ideas.
Here is a testimonial video where Dr. Eman Toraih shares her experience with Pine Biotech during the Research Fellowship Program: https://youtu.be/9G6dAvEDUCw
So if you too are motivated to work on your research project under mentor guidance with Pine Biotech then don't miss a chance to register yourself for the research fellowship program. To learn more about the program, please visit: https://learn.omicslogic.com/blog/post/research-fellowship-with-pine-biotech-independent-research-projects-using-bioinformatics.