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Showing below up to 100 results starting with #51.

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

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