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The following pages are not linked from or transcluded into other pages in BioUML platform.

Showing below up to 100 results starting with #101.

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  1. Docker meta
  2. EBarrays (analysis)
  3. Enriched upstream analysis (TRANSFAC(R) and TRANSPATH(R)) (workflow)
  4. Explain my genes (workflow)
  5. Export master track (analysis)
  6. Export metadata json (analysis)
  7. Export per cell clusters (analysis)
  8. Expression mapping
  9. Fast table filter (analysis)
  10. Fastq compressed (file format)
  11. Fastq mcf
  12. Fastx clip
  13. Filtering experiments by cell types (analysis)
  14. Find 10 master regulators in networks (TRANSPATH(R)) (workflow)
  15. Find 3 master regulators in networks with context genes (TRANSPATH(R)) (workflow)
  16. Find common effectors for multiple gene sets (GeneWays) (workflow)
  17. Find common effectors for multiple gene sets (TRANSPATH(R)) (workflow)
  18. Find common effectors in networks (GeneWays) (workflow)
  19. Find common effectors in networks (TRANSPATH(R)) (workflow)
  20. Find enriched TF binding sites in variation sites (TRANSFAC(R)) (workflow)
  21. Find gene fusions from RNA-seq (workflow)
  22. Find genome variants and indels from RNA-seq (workflow)
  23. Find genome variants and indels from full-genome NGS (workflow)
  24. Find master regulators for multiple gene sets (GeneWays) (workflow)
  25. Find master regulators for multiple gene sets (TRANSPATH(R)) (workflow)
  26. Find master regulators in mutated network (TRANSPATH(R)) (workflow)
  27. Find master regulators in mutated network (workflow)
  28. Find master regulators in networks (GeneWays) (workflow)
  29. Find master regulators in networks (TRANSPATH(R)) (workflow)
  30. Find master regulators in networks with context genes (TRANSPATH(R)) (workflow)
  31. Find regulatory regions with mutations (analysis)
  32. Find target genes (analysis)
  33. Flux Balance Analysis (workflow)
  34. Focused upstream analysis (TRANSFAC(R) and TRANSPATH(R)) (workflow)
  35. GTEX Mutation effect on sites (analysis)
  36. GTRD comparison
  37. GTRD statistics
  38. GWAS format
  39. Galaxy
  40. Galaxy admin
  41. Galaxy cloud
  42. Gene expression prediction
  43. Gene set enrichment analysis (Affymetrix probes) (workflow)
  44. Gene set enrichment analysis (Agilent probes) (workflow)
  45. Gene set enrichment analysis (Gene table) (workflow)
  46. Gene set enrichment analysis (Illumina probes) (workflow)
  47. Gene set enrichment analysis - select a classification (Gene table) (workflow)
  48. Gene set enrichment analysis HumanPSD (Affymetrix probes) (workflow)
  49. Gene set enrichment analysis HumanPSD (Agilent probes) (workflow)
  50. Gene set enrichment analysis HumanPSD (Gene table) (workflow)
  51. Gene set enrichment analysis HumanPSD (Illumina probes) (workflow)
  52. Generate Table From JSON (analysis)
  53. Get miRNA targets (analysis)
  54. GlycanR (analysis)
  55. Guided linear model analysis
  56. Hadoop
  57. Hash parameters
  58. Headless BioUML
  59. Heatmap (analysis)
  60. Hypergeometric analysis for multiple inputs (workflow)
  61. IPython format
  62. Identify composite modules in promoters (TRANSFAC(R)) (workflow)
  63. Identify enriched composite modules in promoters (GTRD) (workflow)
  64. Identify enriched composite modules in promoters (TRANSFAC(R)) (workflow)
  65. Identify enriched motifs in promoters (GTRD) (workflow)
  66. Identify enriched motifs in promoters (TRANSFAC(R)) (workflow)
  67. Identify enriched motifs in tissue specific promoters (TRANSFAC(R)) (workflow)
  68. Identify enriched motifs in tissue specific tracks (TRANSFAC(R)) (workflow)
  69. Identify enriched motifs in tracks (TRANSFAC(R)) (workflow)
  70. Illumina microarray file
  71. Import from BC Platform (analysis)
  72. Import from TranSMART (analysis)
  73. Install HumanPSD(TM) database (analysis)
  74. Intersect tables (analysis)
  75. Intersect tracks (analysis)
  76. Join two tables (analysis)
  77. Jupyter
  78. Kinetic parameters for COVID-19 models
  79. LRPath (analysis)
  80. Landing
  81. Limma (analysis)
  82. MEALR (tracks) (analysis)
  83. MSAT (analysis)
  84. Mapping to GO ontologies and comparison for two gene sets (workflow)
  85. Mapping to ontologies (Gene table) (workflow)
  86. Mapping to ontologies (HumanPSD(TM)) (workflow)
  87. Mapping to ontologies (TRANSPATH(R)) (workflow)
  88. Mapping to ontologies and comparison for two gene sets (HumanPSD(TM)) (workflow)
  89. Mapping to ontologies and comparison for two gene sets (TRANSPATH(R)) (workflow)
  90. Mapping to ontologies for multiple gene sets (HumanPSD(TM)) (workflow)
  91. Mapping to ontologies for multiple gene sets (TRANSPATH(R)) (workflow)
  92. Mapping to ontologies for multiple gene sets (workflow)
  93. Mapping to ontology - select a classification (2 Gene tables) (workflow)
  94. Mapping to ontology - select a classification (Gene table) (workflow)
  95. Mapping to ontology - select a classification (Multiple Gene tables) (workflow)
  96. MiRNA feed forward loops (analysis)
  97. Model analysis
  98. Modeling Antihypertensive drugs
  99. Modeling cardiovascular system
  100. Muscle metabolism

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