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In addition to observations being identified by others in the community, iNaturalist includes an automated species identification tool, first released in 2017. [29] Images can be identified via a computer vision model which has been trained on the large database of the observations on iNaturalist. [ 22 ]
This is an indispensable tool for any researcher using the mouse as a model organism for their research, and for researchers interested in genes that share homology with the mouse genes. Various mouse research support resources including animal collections and free colony management software are also available at the MGI site. [7]
A survey published in 2004, [3] studies why automated species identification had not become widely employed at this time and whether it would be a realistic option for the future. The authors found that "a small but growing number of studies sought to develop automated species identification systems based on morphological characters".
This list of protein subcellular localisation prediction tools includes software, databases, and web services that are used for protein subcellular localization prediction. Some tools are included that are commonly used to infer location through predicted structural properties, such as signal peptide or transmembrane helices , and these tools ...
MNHN-Tree-Tools: MNHN-Tree-Tools is an opensource phylogenetics inference software working on nucleic and protein sequences. Clustering of DNA or protein sequences and phylogenetic tree inference from a set of sequences. At the core it employs a distance-density based approach. Thomas Haschka, Loïc Ponger, Christophe Escudé and Julien ...
Graphical analysis tool to find all open reading frames: Prokaryotes, Eukaryotes [40] Regulatory Sequence Analysis Tools: Series of modular computer programs to detect regulatory signals in non-coding sequences: Fungi, Prokaryotes, Metazoa, Protist, Plants [41] [42] PHANOTATE: A tool to annotate phage genomes. Phages [43] SplicePredictor
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The SIRIUS software is developed by the group of Sebastian Böcker at the Friedrich Schiller University Jena, Germany and since 2019 together with Bright Giant GmbH.SIRIUS development started in 2009 as a software for identification of the molecular formula by decomposing high-resolution isotope patterns (also called MS1 data). [1]