Innovation project: Software solution of precise classification of amplicon data from Oxford Nanopore Technologies sequencing
Background:
Oxford Nanopore Technologies (ONT) is an emerging company with a facinating technolgy offering sequencing via nanopores. It brings back sequencing to your own lab at reasonable costs and allows sequencing of long reads. The technology is constantly improved and many new application cases arise. However, analysing ONT data can be challenging and different bioinformatic tools exist to for the downstream processing. Especially, the precise taxonomic classification of full length marker genes, e.g. the 16S rRNA gene or the ITS region, can be problematic.
Aim of the project:
With this project we aim to develop an software solution allows the exact and reliable classification of amplicon and metabarcoding data (as 16S rRNA and others). As we make use of long reads, we aim to deliver species level taxonomic assignments whenever is it possible. The expected outcome is a customer friendly solution to make this technolgy and analysis broadly available and applicable.
For this innovation project a working student is employed by GreenGate Genomics.
This project is co-funded by the European Union and by the State Brandenburg.
