Species Identification and Prediction by Mass Spectrometry
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Updated
Jan 8, 2024 - R
Species Identification and Prediction by Mass Spectrometry
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Tools for manipulating the Wildlife Watcher, a smart camera to monitor animals in the wild.
This repository contains code for preprocessing, training, evaluation, and inferencing of two models, SSD and Faster R-CNN, for the task of bird detection and classification. For details about the Flask web application built on this model visit the link below.
DNA barcoding analysis pipeline
A snakemake pipeline for tick determination from ONT whole genome sequencing samples.
banter is a package for creating hierarchical acoustic event classifiers out of multiple call type detectors.
Species identification model for Japanese dragonflies and damselflies
Species identification based on mass spectrometry biomarker clustering
Exploring the evolutionary history of dragonflies and damselflies (Odonata) from their wings!
Image-based plant identification at global scale.
A Flask web application for the classification of bird species built using TFServing, Docker and MySQL.
Parser of BLAST results
Fungal Identification Pipeline
MitoSIS (Mitochondrial Species Identification System) is a wrapper for mitochondrial genome assembly and identification of sample contamination or mislabeling.
A website that aims to increase awareness of invasive species and the locations they are found. Also distinguishes invasive species from regular animals.
BirdNET as a systemd service with other features.
R package to give easy access to ALA plant occurrence data
Raspir, the rare species identifier
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