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Hire Dr. Snijesh V.

India

USD 48 /hr

Versatile Bioinformatician Pioneering Advanced Data Analysis and Systems Biology: Expert in AI, Machine Learning, Gene

Profile Summary

As a seasoned bioinformatician specializing in advanced data analysis, I bring a wealth of expertise in leveraging cutting-edge technologies such as AI and machine learning to unravel complex biological systems. My proficiency spans across various omics domains, including gene expression analysis (RNASeq, microarray, scRNASeq), metabolomics, and variant calling (Germline, Somatic). With a deep understanding of genomics, I have honed my skills in interpreting high-throughput sequencing data, employing robust algorithms for variant calling, and discerning meaningful patterns within genomic landscapes. My proficiency extends to both germline and somatic variant analysis, ensuring a comprehensive understanding of genetic variations in diverse contexts. In the realm of gene expression analysis, I have a proven track record of deciphering intricate transcriptional profiles using a range of technologies. Whether it's unraveling the intricacies of RNASeq data or deciphering the nuances of single-cell RNASeq, I am adept at extracting meaningful biological insights from vast and complex datasets. My expertise in metabolomics equips me to explore the intricate metabolic landscapes of biological systems. I employ advanced statistical methods and data visualization techniques to discern metabolic pathways, identify biomarkers, and contribute to a holistic understanding of physiological processes. One of my key strengths lies in constructing and interpreting protein interaction networks, elucidating the intricate web of molecular interactions within cellular systems. By integrating diverse datasets, I facilitate a systems biology approach, providing a comprehensive perspective on the functional relationships that drive cellular processes. In addition to my technical skills, I am committed to staying abreast of emerging trends and technologies in bioinformatics. I am passionate about contributing to the advancement of life sciences through rigorous data analysis and interpretation, with a focus on translating findings into actionable insights. My ability to collaborate effectively with interdisciplinary teams and communicate complex findings to diverse stakeholders positions me as a valuable asset in the ever-evolving field of bioinformatics.

Subject Matter Expertise

• ☆ Biostatistics
• ☆ Genetics
• ☆ Microarrays
• ☆ Data Analysis
• ☆ Data Processing
• ☆ Bioinformatics
• ☆ Systems Biology
• ☆ Technical & Scientific Writing

Services

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Medical Writing, Non-Medical Regulatory Writing, Technical Writing, Copywriting, Creative Writing, Newswriting, Audio Transcription, General Proofreading & Editing, Translation

Research Meta-Research, Fact Checking, Gray Literature Search, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Cleaning, Data Processing

Work Experience

BIoinformatician

St. John's Research Institute

December 2019 - Present

BIoinformatician

Innov4Sight Health and Biomedical Systems Private Limited

December 2016 - December 2019

Project Assistant

Karunya University

July 2016 - January 2017

Project Assistant

Karunya University

September 2013 - July 2016

Education

Master of Scince

CMS College of Science and Commerce

July 2011 - April 2013

Bachelor of Science

Kannur university

July 2008 - April 2011

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

Snijesh VP, madhumathy nair, Rakesh S. Ramesh, Chandrakala M. Naidu, Apoorva D. Mavatkar, Vishakha Ramamurthy, Vidya M. Somashekaraiah, Anupama C. E., Kiruthiga Raghunathan, Anuradha Panigrahi, et al. (2023). Estimation of ALU Repetitive Elements in Plasma as a Cost-Effective Liquid Biopsy Tool for Disease Prognosis in Breast Cancer . Cancers.

Korlimarla, Aruna, Hari, P. S., Prabhu, Jyoti, Ragulan, Chanthirika, Patil, Yatish, Snijesh, V. P., Desai, Krisha, Mathews, Aju, Appachu, Sandhya, Diwakar, Ravi B., et al. (2023). Comprehensive characterization of immune landscape of Indian and Western triple negative breast cancers (vol 25, 101511, 2022) . Translational Oncology.

Nimbalkar, V. P., Snijesh, V. P., Rajarajan, S., Patil, S., Anupama, C. E., Ramesh, R., Srinath, B. S., Prabhu, J. S. (2022). Co-expression of GR with PR isoforms is associated with differential prognosis in estrogen receptor-positive breast cancer . Annals of Oncology.

Korlimarla, Aruna, Hari, P. S., Prabhu, Jyoti, Ragulan, Chanthirika, Patil, Yatish, Snijesh, V. P., Desai, Krisha, Mathews, Aju, Appachu, Sandhya, Diwakar, Ravi B., et al. (2022). Comprehensive characterization of immune landscape of Indian and Western triple negative breast cancers . Translational Oncology.

Nair, Madhumathy G., Chandrakala, M., Apoorva, D., Snijesh, V. P., Prabhu, Jyothi S., Rajarajan, Savitha, Korlimarla, Aruna, Ramesh, Rakesh S., Srinath, B. S., Sridhar, T. S. (2022). High levels of miR-18a is associated with increased proliferation but suppression of EMT phenotype in ER negative breast cancer . Cancer Research.

Nair, Madhumathy G., Apoorva, D., Chandrakala, M., Snijesh, V. P., Patil, Sharada, Anupama, C. E., Mukherjee, Geetashree, Kumar, Rekha, V, Prabhu, Jyothi S., Sridhar, T. S. (2022). miR-18a Mediates Immune Evasion in ER-Positive Breast Cancer through Wnt Signaling . Cells.

Rajarajan, Savitha, Snijesh, V. P., Pillai, Maalavika, Jolly, Mohit Kumar, Prabhu, Jyothi S. (2022). Identification of AR driven tumors within TNBC using a novel gene signature . Cancer Research.

M.G. Nair and Snijesh. VP and J.S. Prabhu and T. Sridhar(2021). 89P High expression of miR-18a drives immunosuppressive activity in ER-positive breast cancer . Annals of Oncology. 32. p. S59. Elsevier {BV}

Srividhya, Durbagula, Ashitha, S. N. M., Snijesh, V. P., Korlimarla, Aruna, Visweswariah, Ashok Mysore (2021). Abstracts of the Virtual World Congress of Psychiatric Genetics (WCPG), October 11-15, 2021 - Oral abstracts (vol 51, pg e40, 2021) . European Neuropsychopharmacology.

Korlimarla, Aruna, Radhakrishnan, Sabarinathan, Snijesh, V. P., Prabhu, Jyothi S., Demonte, Naveen Luke, Rajarajan, Savitha, Patil, Yatish, Diwakar, Ravi, Apachu, Sandhya, Srinath, B. S., et al. (2021). Whole exome sequencing and BRCAness estimation in TNBCs and their correlation with response to platinum . Cancer Research.

George, Gincy and Snijesh, VP and Lokappa, Sowmya Bekshe and Varkey, Jobin(2019). Construction of Parkinson's disease marker-based weighted protein-protein interaction network for prioritization of co-expressed genes . Gene. Elsevier

George, Gincy, Parambath, Snijesh Valiya, Lokappa, Sowmya Bekshe, Varkey, Jobin (2019). Construction of Parkinson's disease marker-based weighted protein-protein interaction network for prioritization of co-expressed genes . Gene.

Arulmozhi S, Monica Steffi Matchado, V.P. Snijesh, Atul Kumar, Sachidanand Singh(2018). An insight into anti-arthritic property OF C25H34O7 for Rheumatoid arthritis using molecular modelling and molecular dynamics approach . Informatics in Medicine Unlocked. Elsevier {BV}

V.P. Snijesh, Monica Steffi Matchado, Sachidanand Singh(2018). Classifying Rheumatoid Arthritis gene network signatures for identifying key regulatory molecules and their altered pathways by adopting network biology approach . Gene Reports. Elsevier {BV}

Snijesh, V.P., Matchado, M.S., Singh, S.(2018). Classifying Rheumatoid Arthritis gene network signatures for identifying key regulatory molecules and their altered pathways by adopting network biology approach . Gene Reports. 13. p. 199-211.

Snijesh, V. P., Matchado, Monica Steffi, Singh, Sachidanand (2018). Classifying Rheumatoid Arthritis gene network signatures for identifying key regulatory molecules and their altered pathways by adopting network biology approach . Gene Reports.

Snijesh VP(2017). Breast Cancer Detection: Current Methods and Roadmap to Personalized Medicine . Cancer therapy & Oncology International Journal. 5. (5). Juniper Publishers

Singh, S., Vennila, J.J., Snijesh, V.P., George, G., Sunny, C.(2016). Implying Analytic Measures for Unravelling Rheumatoid Arthritis Significant Proteins Through Drug–Target Interaction . Interdisciplinary Sciences: Computational Life Sciences. 8. (2). p. 122-131.

Singh, Sachidanand, Vennila, J. Jannet, Snijesh, V. P., George, Gincy, Sunny, Chinnu (2016). Implying Analytic Measures for Unravelling Rheumatoid Arthritis Significant Proteins Through Drug-Target Interaction . Interdisciplinary Sciences: Computational Life Sciences.

Sachidanand Singh, J. Jannet Vennila, V. P. Snijesh, Gincy George, Chinnu Sunny(2015). Implying analytic measures for unraveling rheumatoid arthritis significant proteins through drug target interaction . Interdisciplinary Sciences: Computational Life Sciences. Springer Nature America, Inc

V. P. Snijesh, Sachidanand Singh(2014). Molecular Modeling and Network Based Approach in Explaining the Medicinal Properties of <I>Nyctanthes arbortristis</I>, <I>Lippia nodiflora</I> for Rheumatoid Arthritis . Journal of Bioinformatics and Intelligent Control. 3. (1). p. 31--38. American Scientific Publishers

CONFERENCE ABSTRACT

Aruna Korlimarla and Sabarinathan Radhakrishnan and Snijesh VP and Jyothi S Prabhu and Naveen Luke Demonte and Savitha Rajarajan and Yatish Patil and Ravi Diwakar and Sandhya Apachu and BS Srinath and Sridhar TS and Anguraj Sadanandam(2021). Abstract PS19-19: Whole exome sequencing and BRCAness estimation in TNBCs and their correlation with response to platinum . Poster Session Abstracts. American Association for Cancer Research

OTHER

Anusha, Dalal, Hamza, Subramanian, Sitalakshmi, V. P., Snijesh, Gowda, Divya A., H., Krishnamurthy, Damodar, Sharat, Vyas, Neha (2021). Exovesicular-Shh confers Imatinib resistance by upregulating Bcl2 expression in chronic myeloid leukemia with variant chromosomes .

BOOK CHAPTER

(2019). Other Biological Databases . Essentials of Bioinformatics, Volume I.

(2019). Sequence Databases . Essentials of Bioinformatics, Volume I.

BOOK

Singh, S., Snijesh, V.P., Jannet Vennila, J.(2015). Rheumatoid arthritis candidate genes identification by investigating core and periphery interaction structures . SpringerBriefs in Applied Sciences and Technology. 6. p. 87-96.