ExoLoger v2.0

Server for prediction of unidentified exosomal microRNAs using machine learning algorithms

 

ExoLoger: Prediction of unidentified exosomal microRNAs using machine learning

Authors

Vishal Kumar Sahu1, Shailaja Akundi1, Isha Zafar1, Shuchi Nagar2, Subhayan Sur1, Amit Ranjan1#, Soumya Basu1#

  • 1Cancer and Translational Research Centre, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Tathawade, Pune - 411033, India
  • 2Bioinformatics Centre, Dr. D.Y. Patil Biotechnology & Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pune-411033, Maharashtra, India.

NOTE: The API access is under active development. Results might take 24-48 hours to be generated.

 

(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.

 

 

Versions

  1. ExoLoger v1.x (2022): Older version, not maintained
  2. ExoLoger v2.0 (2023): Current
  3. ExoLoger v3.0: Under Development