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Showing below up to 100 results starting with #21.

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  1. Biouml.plugins.agentmodeling (plugin)
  2. Biouml.plugins.dropbox (plugin)
  3. Biouml.plugins.genenet (plugin)
  4. Biouml.plugins.geneways (plugin)
  5. Biouml.plugins.glycan (plugin)
  6. Biouml.plugins.gne (plugin)
  7. Biouml.plugins.googledrive (plugin)
  8. Biouml.plugins.graphml (plugin)
  9. Biouml.plugins.gxl (plugin)
  10. Biouml.plugins.matlab (plugin)
  11. Biouml.plugins.miriam (plugin)
  12. Biouml.plugins.obo (plugin)
  13. Biouml.plugins.pathfinder (plugin)
  14. Biouml.plugins.proteinmodel (plugin)
  15. Biouml.plugins.psimi (plugin)
  16. Biouml.plugins.reactome.biohub (plugin)
  17. Biouml.plugins.sabiork (plugin)
  18. Biouml.plugins.server (plugin)
  19. Biouml.plugins.simulation-test (plugin)
  20. Biouml.plugins.softberry (plugin)
  21. Biouml.plugins.stochastic (plugin)
  22. Biouml.plugins.svg (plugin)
  23. Biouml.plugins.test (plugin)
  24. Biouml.plugins.uniprot (plugin)
  25. Biouml.plugins.users (plugin)
  26. Biouml.workbench.graph (plugin)
  27. Bioumlsim
  28. C-tau
  29. COVID-19 parameters for Intestine
  30. COVID-19 parameters for Lung
  31. COVID-19 parameters for Nasopharynx
  32. CWL
  33. Calculate CMA regulation (analysis)
  34. Calculate weighted mutation score (analysis)
  35. Cell type specific TFBS prediction
  36. ChIP-Seq - Identify TF binding sites on peaks (TRANSFAC(R)) (workflow)
  37. ChIP-Seq - Identify TF binding sites on peaks for multiple datasets (TRANSFAC(R)) (workflow)
  38. ChIP-Seq - Identify and classify target genes (HumanPSD(TM)) (workflow)
  39. ChIP-Seq - Identify and classify target genes (TRANSPATH(R)) (workflow)
  40. ChIP-Seq - Identify and classify target genes (workflow)
  41. ChIP-Seq - Identify composite modules on peaks (TRANSFAC(R)) (workflow)
  42. ChIP-seq Analysis
  43. Check Workflow consistency (analysis)
  44. ChromatinInfo table creation (analysis)
  45. Cistrom construction (analysis)
  46. Com.developmentontheedge.beans (plugin)
  47. Com.developmentontheedge.server (plugin)
  48. Com.developmentontheedge.util (plugin)
  49. Compare analysis results (analysis)
  50. Compute coverage by window (analysis)
  51. Compute coverage profile (analysis)
  52. Compute differentially expressed genes (Affymetrix probes) (workflow)
  53. Compute differentially expressed genes (Agilent Tox probes) (workflow)
  54. Compute differentially expressed genes (Agilent probes) (workflow)
  55. Compute differentially expressed genes (Illumina probes) (workflow)
  56. Compute differentially expressed genes using EBarrays (workflow)
  57. Compute differentially expressed genes using Hypergeometric test (Affymetrix probes) (workflow)
  58. Compute differentially expressed genes using Hypergeometric test (Agilent probes) (workflow)
  59. Compute differentially expressed genes using Hypergeometric test (Illumina probes) (workflow)
  60. Compute differentially expressed genes using Limma (workflow)
  61. Construct composite modules on tracks (without site search) (analysis)
  62. Convert identifiers for multiple gene sets (workflow)
  63. Convert table to VCF track (analysis)
  64. Convert tracks to VCF (analysis)
  65. Coverage Profiles Cutoff (analysis)
  66. Covid-19 Differential Delay Model
  67. Covid 19
  68. Covid 19 parameters
  69. Create matrix logo (analysis)
  70. Create per TF flat files (analysis)
  71. Create profile from CMA model (analysis)
  72. Create profile from matrix library (analysis)
  73. Create random track (analysis)
  74. Create tissue-specific promoter track (analysis)
  75. Create transcript region track (analysis)
  76. Cross-species identification of enriched motifs in promoters, using orthologue information (TRANSFAC(R)) (workflow)
  77. Cross-species mapping to ontologies, using orthologue information (HumanPSD(TM)) (workflow)
  78. DNase-seq Group and Profile Generation (Previous version) (analysis)
  79. DNase-seq Group and Profile Generation (analysis)
  80. Developed models
  81. Docker meta
  82. EBarrays (analysis)
  83. Enriched upstream analysis (TRANSFAC(R) and TRANSPATH(R)) (workflow)
  84. Explain my genes (workflow)
  85. Export master track (analysis)
  86. Export metadata json (analysis)
  87. Export per cell clusters (analysis)
  88. Expression mapping
  89. Fast table filter (analysis)
  90. Fastq compressed (file format)
  91. Fastq mcf
  92. Fastx clip
  93. Filtering experiments by cell types (analysis)
  94. Find 10 master regulators in networks (TRANSPATH(R)) (workflow)
  95. Find 3 master regulators in networks with context genes (TRANSPATH(R)) (workflow)
  96. Find common effectors for multiple gene sets (GeneWays) (workflow)
  97. Find common effectors for multiple gene sets (TRANSPATH(R)) (workflow)
  98. Find common effectors in networks (GeneWays) (workflow)
  99. Find common effectors in networks (TRANSPATH(R)) (workflow)
  100. Find enriched TF binding sites in variation sites (TRANSFAC(R)) (workflow)

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