As much as there is a universe as we look up, there is a universe to explore within ourselves, at micro level. The computational biology research lab at Department of Computer Engineering, University of Peradeniya focuses on exploring the use of Computer science and Engineering to elucidate the biological systems around us and using that knowledge in various applications.

Recent Updates

Last Updated on 06/07/2021
  • We have been awarded a University of Peradeniya Researh Grant to work further on the project “Counting the uncountable : Estimating species richness from metavirome data”

  • Our systematic review titled “Machine learning for plant microRNA prediction: A systematic review” is now available as a preprint.

  • Our work miRNAFinder: A Comprehensive Web Resource for Plant Pre-microRNA Classification is now available as a preprint 

  • Our work on Crop disease detection with Deep learning has been accepted for an oral presentation at iPURSE 2021. Further work on the project is up at https://damayanthiherath.github.io/leaf-disease-classification/

  • We will be organizing a special session on data engineering for biology and medicine at ICIAFS conference 2021.

People

Dr Damayanthi Herath

Collaborators

Contact

damayanthiherath@eng.pdn.ac.lk

Undergraduate Students

Past Students

Software

Publications

  Article Remarks
J Machine learning for plant microRNA prediction: A systematic review Tobe submitted
O

Herath, D., Counting the Uncountable: Estimating Species Diversity

measures of communities of viruses, Hantana Vision Magazine, Volume 7, Issue 1

Submitted
J Mirnafinder: A comprehensive web resource for plant mirna classfiication, BioSystems Journal Submitted
     
  Article Remarks
C Ihalagedara, P., Lokuge, S., Jayasundara, S., Herath, D.
and Kahanda, I., 2020, October. miRNAFinder: A pre-microRNA
classi er for plants and analysis of feature impact. In 2020
IEEE Conference on Computational Intelligence in Bioinformatics
and Computational Biology (CIBCB) (pp. 1-7). IEEE.
 
C Ekanayake, I.U. and Herath, D., 2020, July. Chronic Kidney
Disease Prediction Using Machine Learning Methods.
In 2020 Moratuwa Engineering
Research Conference (MERCon) (pp. 260-265). IEEE.
 
C Vimukthi, K., Wimalasiri, G., Bandara, P. and Herath, D., 2020, July.
A Data Driven Binning Method to Recover More Nucleotide
Sequences of Species in a Metagenome.
In 2020 Moratuwa Engineering Research Conference (MERCon)
(pp. 307-312). IEEE.
 
C Perera, S., Hewage, K., Gunarathne, C., Navarathna, R., Herath, D.
and Ragel, R.G., 2020, July. Detection of Novel Biomarker Genes of
Alzheimer’s Disease Using Gene Expression Data.
In 2020 Moratuwa Engineering Research Conference (MERCon)
(pp. 1-6). IEEE.
 

Presentations/Talks

https://www.youtube.com/watch?v=lka_QHXVqK8

https://www.youtube.com/watch?v=bqV0ZJzHT1o