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Galaxy wrapper id Total tool usage (usegalaxy.eu) No. of tool users (2022-2023) (usegalaxy.eu) Galaxy tool ids Description bio.tool id biii bio.tool name bio.tool description EDAM operation EDAM topic Status Source ToolShed categories ToolShed id Galaxy wrapper owner Galaxy wrapper source Galaxy wrapper version Conda id Conda version https://usegalaxy.org https://usegalaxy.org.au https://usegalaxy.eu | ||
2d_auto_threshold 6541.0 39.0 ip_threshold Automatic thresholding scikit-image scikit-image scikit-image Scikit-image contains image processing algorithms for SciPy, including IO, morphology, filtering, warping, color manipulation, object detection, etc. Image analysis, Image annotation, Visualisation, Data handling Imaging, Software engineering, Literature and language To update https://github.com/bmcv Imaging 2d_auto_threshold imgteam https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/2d_auto_threshold/ 0.0.6-2 scikit-image (0/1) (1/1) (1/1) | ||
2d_auto_threshold 6541.0 38.0 ip_threshold Automatic thresholding scikit-image scikit-image scikit-image Scikit-image contains image processing algorithms for SciPy, including IO, morphology, filtering, warping, color manipulation, object detection, etc. Image analysis, Image annotation, Visualisation, Data handling Imaging, Software engineering, Literature and language To update https://github.com/bmcv Imaging 2d_auto_threshold imgteam https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/2d_auto_threshold/ 0.0.6-2 scikit-image (0/1) (1/1) (1/1) | ||
abritamr abritamr A pipeline for running AMRfinderPlus and collating results into functional classes Up-to-date https://zenodo.org/record/7370628 Sequence Analysis abritamr iuc https://github.com/galaxyproject/tools-iuc/tree/master/tools/abritamr 1.0.14 abritamr 1.0.14 (0/1) (0/1) (0/1) | ||
aldex2 129.0 13.0 aldex2 Performs analysis Of differential abundance taking sample variation into account aldex2 ALDEx2 A differential abundance analysis for the comparison of two or more conditions. It uses a Dirichlet-multinomial model to infer abundance from counts, that has been optimized for three or more experimental replicates. Infers sampling variation and calculates the expected FDR given the biological and sampling variation using the Wilcox rank test and Welches t-test, or the glm and Kruskal Wallis tests. Reports both P and fdr values calculated by the Benjamini Hochberg correction. Statistical inference Gene expression, Statistics and probability To update https://github.com/ggloor/ALDEx_bioc Metagenomics aldex2 iuc https://github.com/galaxyproject/tools-iuc/tree/master/tools/aldex2 1.26.0 bioconductor-aldex2 1.34.0 (0/1) (0/1) (1/1) |