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Showing below up to 50 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

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