ExoLoger v2.0
Server for prediction of unidentified exosomal microRNAs using machine learning algorithms
Submit Sequence for Analysis
Submit your exosomal microRNA sequence for prediction using ExoLoger
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Enter RNA sequence (A, U, G, C only)
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ExoLoger: Prediction of unidentified exosomal microRNAs using machine learning
NOTE: The API access is under active development. Results might take 24-48 hours to be generated.
ExoLoger is a cutting-edge bioinformatics tool that leverages advanced machine learning algorithms to predict unidentified exosomal microRNAs. This server provides researchers with accurate predictions to support their studies in cancer research and translational medicine.
Authors
Vishal Kumar Sahu1, Shailaja Akundi1, Isha Zafar1, Shuchi Nagar2, Subhayan Sur1, Amit Ranjan1#, Soumya Basu1#
Development Team
(Version 2.0) Designed and developed by Mr. Vishal Kumar Sahu (PhD Scholar) and Ms. A. S. M. Shailaja (B Tech Biotechnology) under the supervision of Dr. Soumya Basu (Associate Professor) under the co-guidance of Dr. Amit Ranjan (Assistant Professor) at Cancer and Translational Research Laboratory, DYPBBI, Pune-411033
Acknowledgements
- Mr. Vishal Kumar Sahu acknowledges Council of Scientific & Industrial Research (CSIR), HRDG, New Delhi for CSIR-JRF fellowship (File No. 09/1340(11487)/2021-EMR-I) & Dr. D. Y. Patil Vidyapeeth, Pune for providing infrastructure for PhD research.
- Mrs. Sangeeta Ballav acknowledges Dr. D. Y. Patil Vidyapeeth, Pune for providing infrastructure for PhD research and DPU-JRF fellowship.