I’m Anuradha—I’m and Solutions Architect for Bioinformatics Products at CSIRO, Australia. I got my Ph.D. in computer science from the School of Computing at the Australian National University in Canberra, Australia. I enjoy writing code, playing games and IoT DIYs.
Check out my personal website anuradhawick.com.
Check my recent web-site development at Vinyl.LK. This is implemented in AWS with Lambda, S3, Cloudfront and Route53! Check repo in Github
- 🔭 I build bioinformatics software/tools, browse through my repos
- 🔭 I've worked on clustering TGS sequencing data (binning long reads)
- 🌱 Interested areas include Machine Learning, Bioinformatics and Computational Biology
- 📫 How to reach me: hello@anuradhawick.com
- 🏠 Check out my portfolio website: https://anuradhawick.com
- 📝 Check out my Medium Blog: https://medium.com/@anuradhawick
My Apps my website
A platform to practice your typiing. Find the repo - https://github.com/anuradhawick/typefaster .You can access the demo on https://typefaster.anuradhawick.com
📎 Clipper
A versatile clipboard management and note-taking application designed specifically for developers.
I feel quite thrilled about few of my recent work! So decided to showcase here. 😎
kmertools is a k-mer based feature extraction tool designed to support metagenomics and other bioinformatics analytics.
A faster FASTA/FASTQ reader with very small footprint in your code compared to Biopython.
First long read binner that uses both coverage and composition both in metagenomics binning. Here we introduce a neat trick to estimate read coverage via kmers and build a feature vector for coverage.
This enables generation of training images for YOLO given a set of objects and backgrounds. Makes life a lot easier as manually annotating real images is labour intensive.
This came as a requirement in Vinyl.LK. This is a solid template for any AWS lambda based project. All the yaml files and templates are included with sufficient(I hope) help and documentation.
Here you will find how I have done some of the challenging code events in the past few years. I will try to migrate the things I have done before my time in GitHub as we go along.