biological-data-visualization

There are 2 repositories under biological-data-visualization topic.

• Superzchen / iFeatureOmega-CLI

  iFeatureOmega is a comprehensive platform for generating, analyzing and visualizing more than 170 representations for biological sequences, 3D structures and ligands. To the best of our knowledge, iFeatureOmega supplies the largest number of feature extraction and analysis approaches for most molecule types compared to other pipelines. Three versions (i.e. iFeatureOmega-Web, iFeatureOmega-GUI and iFeatureOmega-CLI) of iFeatureOmega have been made available to cater to both experienced bioinformaticians and biologists with limited programming expertise. iFeatureOmega also expands its functionality by integrating 15 feature analysis algorithms (including ten cluster algorithms, three dimensionality reduction algorithms and two feature normalization algorithms) and providing nine types of interactive plots for statistical features visualization (including histogram, kernel density plot, heatmap, boxplot, line chart, scatter plot, circular plot, protein three dimensional structure plot and ligand structure plot). iFeatureOmega is an open-source platform for academic purposes. The web server can be accessed through http://ifeature2.erc.monash.edu and the GUI and CLI versions can be download at: https://github.com/Superzchen/iFeatureOmega-GUI and https://github.com/Superzchen/iFeatureOmega-CLI, respectively.

  bioinformatics-toolbiological-data-visualizationbiological-sequences-analysisfeature-analysisfeature-engineeringpython
  Language:Python 25

• Superzchen / iFeatureOmega-GUI

  iFeatureOmega is a comprehensive platform for generating, analyzing and visualizing more than 170 representations for biological sequences, 3D structures and ligands. To the best of our knowledge, iFeatureOmega supplies the largest number of feature extraction and analysis approaches for most molecule types compared to other pipelines. Three versions (i.e. iFeatureOmega-Web, iFeatureOmega-GUI and iFeatureOmega-CLI) of iFeatureOmega have been made available to cater to both experienced bioinformaticians and biologists with limited programming expertise. iFeatureOmega also expands its functionality by integrating 15 feature analysis algorithms (including ten cluster algorithms, three dimensionality reduction algorithms and two feature normalization algorithms) and providing nine types of interactive plots for statistical features visualization (including histogram, kernel density plot, heatmap, boxplot, line chart, scatter plot, circular plot, protein three dimensional structure plot and ligand structure plot). iFeatureOmega is an open-source platform for academic purposes. The web server can be accessed through http://ifeature2.erc.monash.edu and the GUI and CLI versions can be download at: https://github.com/Superzchen/iFeatureOmega-GUI and https://github.com/Superzchen/iFeatureOmega-CLI, respectively.

  bioinformatics-toolbiological-data-visualizationbiological-sequences-analysisfeature-analysisfeature-engineeringpython
  Language:Python 25
• Plotly_BioVisualization

  furkanmtorun / Plotly_BioVisualization

  Plotly BioVisualization 🎯 Interactive Needle and Manhattan Plots & Alignment Viewer

  data-visualizationplotlymanhattan-plotneedle-plotsequence-viewermsa-viewerbiological-data-visualizationplotly-dash
  Language:Python 11

• akshatbhargava123 / bluegenes-tissue-expression-visualizer

  Visualization for BlueGenes of tissue expression

  javascriptreactbiological-data-visualizationinterminebluegenestissue-expression
  Language:JavaScript 1

• amatov / FeatureTrackingValidation

  benchmark-frameworksoftware-benchmarkingbenchmarking-metricsfluorescent-speckle-microscopysoftware-evaluationfalse-negativefalse-positivegraphical-user-interfacealgorithm-validationtime-lapse-datasetfeature-detectionfeature-trackingsubresolution-cluster-of-fluorophoreslow-signal-to-noise-ratiobiological-data-analysisbiological-data-visualizationwide-field-microscopyepifluorescence-microscopylive-cell-imagingground-truth
  Language:MATLAB