プロフィール詳細

プロジェクトを作成

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Dr. Richa T.に依頼

United Arab Emirates

Computational Biologist | Genomics & Bioinformatics Expert | scRNA-seq, WES/WGS & Variant Interpretation

プロフィール概要

I am a Computational Biologist and Bioinformatics Consultant with over 10 years of experience in genomics, single-cell transcriptomics, and multi-omics data analysis. My expertise lies in analyzing large-scale biological datasets and translating complex genomic information into meaningful biological insights relevant to human disease and precision medicine. My work focuses on whole-exome sequencing (WES), whole-genome sequencing (WGS), variant interpretation, and single-cell RNA-seq analysis, with applications in complex diseases such as cardiovascular disorders and other genetic conditions. I have extensive experience developing and implementing bioinformatics pipelines using R, Python, and Linux-based environments, as well as working with widely used genomics and transcriptomics tools. I have contributed to multiple research projects involving genomics, single-cell transcriptomics, and protein structural analysis, and my work has been published in peer-reviewed scientific journals. My research has also received international recognition, including awards from scientific organizations and global research competitions. I offer consulting services in: • Bioinformatics and genomics data analysis • Single-cell RNA-seq analysis and interpretation • Variant annotation and genomic data interpretation • Multi-omics data integration • Bioinformatics pipeline development (R, Python, Linux) • Scientific writing, manuscript editing, and research data interpretation I enjoy collaborating with researchers, startups, and biotech companies to help transform complex biological data into actionable scientific insights.

専門分野

• ☆ Computational Biology
• ☆ Omics
• ☆ Transcriptomics
• ☆ Comparative Genomics
• ☆ Genomics
• ☆ Data Analysis
• ☆ Data Processing
• ☆ Data Management
• ☆ Data Manipulation
• ☆ Statistics
• ☆ Health Data Analysis
• ☆ Bioinformatics
• ☆ Gene & Protein Expression Analysis
• ☆ Structural Bioinformatics

サービス

• Writing
• Data & AI

職務経験

Postdoctoral Researcher

Mohammed Bin Rashid University of Medicine and Health Sciences

12月 2019 - 現在

JSPS Postdoctoral Fellow

Tokyo University of Agriculture and Technology

6月 2015 - 5月 2017

学歴

Ph.D. (School of Chemical and Biotechnology)

SASTRA University

8月 2009 - 12月 2014

M.Sc (Bioinformatics)

Banasthali University

2007 - 2009

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

(2019). Large-scale all-atom molecular dynamics alanine-scanning of IAPP octapeptides provides insights into the molecular determinants of amyloidogenicity . Scientific Reports.

(2019). Large expert-curated database for benchmarking document similarity detection in biomedical literature search . Database.

(2019). Augmenting Flexnerism Via Twitterism: Need for Integrating Social Media Application in Blueprinting Pedagogical Strategies for Undergraduate Medical Education . JMIR Medical Education.

(2018). Blending Gagne’s Instructional Model with Peyton’s Approach to Design an Introductory Bioinformatics Lesson Plan for Medical Students: Proof-of-Concept Study . JMIR Medical Education.

Wankhede, D.P., Kumari, M., Richa, T., Aravind, J., Rajkumar, S.(2017). Genome wide identification and characterization of Calcium Dependent Protein Kinase gene family in Cajanus cajan . Journal of Environmental Biology. 38. (1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 167-177.

Richa, T., Ide, S., Suzuki, R., Ebina, T., Kuroda, Y.(2017). Fast H-DROP: A thirty times accelerated version of H-DROP for interactive SVM-based prediction of helical domain linkers . Journal of Computer-Aided Molecular Design. 31. (2). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 237-244.

Prabhavadhni, A., Richa, T., Sivaraman, T.(2015). A review on computational methods for predicting residue-specific stabilities of proteins . Journal of Pharmaceutical Sciences and Research. 7. (3). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 159-162.

Richa, T., Sivaraman, T.(2015). Computational analyses of cryptic intermediates in the native unfolding pathways of barnase and thioredoxin . Biologia (Poland). 70. (4). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 420-427.

Richa, T., Sivaraman, T.(2014). Cooperative unfolding units and metastable states of cytochrome c551 from Pseudomonas aeruginosa under native conditions . Journal of Pharmaceutical Sciences and Research. 6. (3). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 144-147.

Das, P., Richa, T., Sivaraman, T.(2014). A computational strategy for predicting residue-specific stabilities of cardiotoxin III, an all β-sheet protein . Research Journal of Pharmaceutical, Biological and Chemical Sciences. 5. (3). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1824-1831.

Richa, T., Sivaraman, T.(2014). OneG-Vali: A computational tool for detecting, estimating and validating cryptic intermediates of proteins under native conditions . RSC Advances. 4. (68). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 36325-36335.

Richa, T., Sivaraman, T.(2013). Structural stability and folding pathways of proteins under native conditions as monitored by hydrogen/deuterium (H/D) exchange methods . International Journal of Research in Pharmaceutical Sciences. 4. (4). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 550-562.

Richa, T., Sivaraman, T.(2012). CIntX: A software tool for calculating the intrinsic exchange rates of labile protons in proteins . Journal of Pharmaceutical Sciences and Research. 4. (6). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1852-1858.

Sivakumar, D., Richa, T., Rajesh, S.S., Gorai, B., Sivaraman, T.(2012). In silico methods for designing antagonists to anti-apoptotic members of Bcl-2 family proteins . Mini-Reviews in Medicinal Chemistry. 12. (11). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1144-1153.

Richa, T., Sivaraman, T.(2012). OneG: A computational tool for predicting cryptic intermediates in the unfolding kinetics of proteins under native conditions . PLoS ONE. 7. (3).

Richa, T., Sivaraman, T.(2011). META: A computational tool for predicting metastable states in the folding pathways of proteins . Journal of Pharmaceutical Sciences and Research. 3. (9). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1486-1490.

Rao, K.P., Richa, T., Kumar, K., Raghuram, B., Sinha, A.K.(2010). In silico analysis reveals 75 members of Mitogen-Activated protein Kinase Kinase Kinase gene family in rice . DNA Research. 17. (3). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 139-153.