Vijini Mallawaarachchi

@vijinim.bsky.social

Research Fellow @ Flinders University | #Bioinformatics, #Algorithms and #Metagenomics 🧬🦠 | Blog at http://vijini.medium.com

🎤 Very excited to be speaking at #GenomeInformatics26, UK from 2–4 December 2026. 🧬 📢 If you’re working in genome informatics or related areas, submit an abstract by 5 October 2026. Early bird registrations close on 7 September. 😃 #Bioinformatics #ComputationalBiology #Genomics #GenomeInformatics

Genome Informatics — 20261202

Methods for analysis of large data sets

coursesandconferences.wellcomeconnectingscience.org

Wellcome Connecting Science Learning and Training@eventswcs.bsky.social · 2mo ago

Register for our 26th #GenomeInformatics26 conference by 7 September for early bird savings! 🗓️ 2-4 December 2026 Bursary support available Explore the latest large-scale methods and AI-driven approaches that are advancing our understanding of genome structure and biology 🧬 📎 bit.ly/4bexmoH

If you do any work with DNA sequencing at some point, you need to assemble the reads. Usually, we just use the contigs, but that ignores important evidence from your data, so @vijinim.bsky.social wrote agtools to explore the assembly graph and learn more! academic.oup.com/bioinformati...

agtools: a software framework to manipulate assembly graphs

AbstractMotivation. Assembly graphs are a fundamental data structure used by genome and metagenome assemblers to represent sequences and their overlap info

academic.oup.com

🚀 Just launched: GraphBin Visualise (WASM) a browser-based visualisation tool for comparing initial metagenomic binning results vs refined results from GraphBin - all running in your browser, no backend required. (1/n) #bioinformatics #metagenomics #binning #webapp #pyiodide #webassembly

GitHub - metagentools/graphbin-visualise-wasm-app: GraphBin Visualise WebAssembly App

GraphBin Visualise WebAssembly App. Contribute to metagentools/graphbin-visualise-wasm-app development by creating an account on GitHub.

github.com

MMseqs2-GPU sets new standards in single query search speed, allows near instant search of big databases, scales to multiple GPUs and is fast beyond VRAM. It enables ColabFold MSA generation in seconds and sub-second Foldseek search against AFDB50. 1/n 📄 www.nature.com/articles/s41... 💿 mmseqs.com

GPU-accelerated homology search with MMseqs2 - Nature Methods

Graphics processing unit-accelerated MMseqs2 offers tremendous speedups for homology retrieval from metagenomic databases, query-centered multiple sequence alignment generation for structure predictio...

nature.com

🌟 Exciting news! We’re launching three fully-funded postdoc positions for "New Horizons for Synthetic Phages” Join us in tackling antimicrobial resistance with cutting-edge synthetic biology + AI bioinformatics. Based at Flinders Uni in vibrant Adelaide. 👇 Read on for details! #Phage

🚀 I just released agtools – a Python API + CLI for working with assembly graphs! ⚙️ Convert, filter, clean, visualise & more. 📦 Install with pip or conda 📖 Docs & code: github.com/Vini2/agtools ⭐ Feedback, contributions, and stars are welcome! #bioinformatics #python #genomics #opensource

GitHub - Vini2/agtools: Tools for manipulating assembly graphs

Tools for manipulating assembly graphs. Contribute to Vini2/agtools development by creating an account on GitHub.

github.com