プロフィール詳細

プロジェクトを作成

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Atul T.に依頼

India

Cancer Genomics, Next Generation Sequencing, Proteomics, Machine Learning, Peptide Therapeutics and Single Cell RNAseq.

プロフィール概要

My name is Atul Tyagi, and I have over nine years of experience in bioinformatics and data analysis using machine learning techniques. I have worked on different projects such as Anti-cancer peptides, Plant antifungal peptides, cell-penetrating peptides, tumor homing peptides, HIV inhibiting siRNA, and Breast oncogenic siRNAs. I have also created various databases and prediction web servers and published them in different reputed journals like Nucleic Acids Research, Scientific Reports, Database, Amino acids, Antibiotics, etc. Below are links to my previous projects using PHP, Perl, HTML, JQuery, Python, etc. http://crdd.osdd.net/raghava/cancerppd http://crdd.osdd.net/raghava/anticp/ http://bioinformatics.cimap.res.in/sharma/boss http://crdd.osdd.net/raghava/cppsite/ http://crdd.osdd.net/raghava/hivsir/ http://crdd.osdd.net/raghava/cellppd/ http://crdd.osdd.net/raghava/tumorhpd/ http://bioinformatics.cimap.res.in/sharma/PlantAFP http://bioinformatics.cimap.res.in/sharma/PhytoAFP https://scholar.google.co.in/citations?user=D9GE4OUAAAAJ&hl=en

専門分野

• ★ Next Generation Sequencing (NGS)
• ★ Machine Learning
• ☆ Chemistry
• ☆ Data Analysis
• ☆ Skin Cancer
• ☆ Colorectal Cancer
• ☆ Herbal Medicine
• ☆ Cancer Research

サービス

• Writing
• Research
• Data & AI
• Product Development

Writing Clinical Trial Documentation, Technical Writing, Copywriting

Research Market Research, User Research, Feasibility Study, Fact Checking, Gap Analysis, Gray Literature Search, Systematic Literature Review, Secondary Data Collection

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-Non ML, Data Visualization, Big Data Analytics, Data Processing

Product Development Product Validation, Prototyping

職務経験

Post doctoral Researcher

Brno University of Technology

10月 2019 - 現在

学歴

Ph.D (BIOTECHNOLOGY DIVISION)

CSIR-CIMAP

8月 2015 - 9月 2019

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Atul Tyagi, Sudeep Roy, Sanjay Singh, Manoj Semwal, Ajit K. Shasany, Ashok Sharma, Ivo Provazník(2021). PhytoAFP: In Silico Approaches for Designing Plant-Derived Antifungal Peptides . Antibiotics. 10. (7). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 815. {MDPI} {AG}

Atul Tyagi, Sudeep Roy, Sanjay Singh, Manoj Semwal, Ajit K. Shasany, Ashok Sharma, Ivo Provazník (2021). PhytoAFP: In Silico Approaches for Designing Plant-Derived Antifungal Peptides . Antibiotics.

Tyagi, A., Pankaj, V., Singh, S., Roy, S., Semwal, M., Shasany, A.K., Sharma, A.(2019). PlantAFP: a curated database of plant-origin antifungal peptides . Amino Acids. 51. (10-12). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1561-1568.

Tyagi, A., Semwal, M., Sharma, A.(2017). A database of breast oncogenic specific siRNAs . Scientific Reports. 7. (1).

Tyagi, A., Tuknait, A., Anand, P., Gupta, S., Sharma, M., Mathur, D., Joshi, A., Singh, S., Gautam, A., Raghava, G.P.S.(2015). CancerPPD: A database of anticancer peptides and proteins . Nucleic Acids Research. 43. (D1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString D837-D843.

Sharma, A., Kapoor, P., Gautam, A., Chaudhary, K., Kumar, R., Chauhan, J.S., Tyagi, A., Raghava, G.P.S.(2013). Computational approach for designing tumor homing peptides . Scientific Reports. 3.

Gautam, A., Chaudhary, K., Kumar, R., Sharma, A., Kapoor, P., Tyagi, A., Raghava, G.P.S.(2013). In silico approaches for designing highly effective cell penetrating peptides . Journal of Translational Medicine. 11. (1).

Tyagi, A., Kapoor, P., Kumar, R., Chaudhary, K., Gautam, A., Raghava, G.P.S.(2013). In silico models for designing and discovering novel anticancer peptides . Scientific Reports. 3.

Gautam, A., Singh, H., Tyagi, A., Chaudhary, K., Kumar, R., Kapoor, P., Raghava, G.P.S.(2012). CPPsite: A curated database of cell penetrating peptides . Database. 2012.

Tyagi, A., Ahmed, F., Thakur, N., Sharma, A., Raghava, G.P.S., Kumar, M.(2011). HIVsirDB: A database of HIV inhibiting siRNAs . PLoS ONE. 6. (10).

BOOK CHAPTER

Tyagi, A., Mishra, M.N., Sharma, A.(2019). Computational method for prediction of targets for breast cancer using siRNA approach . Methods in Pharmacology and Toxicology. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 505-513.