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- Compute coverage profile (analysis)
- Compute differentially expressed genes (Affymetrix probes) (workflow)
- Compute differentially expressed genes (Agilent Tox probes) (workflow)
- Compute differentially expressed genes (Agilent probes) (workflow)
- Compute differentially expressed genes (Illumina probes) (workflow)
- Compute differentially expressed genes using EBarrays (workflow)
- Compute differentially expressed genes using Hypergeometric test (Affymetrix probes) (workflow)
- Compute differentially expressed genes using Hypergeometric test (Agilent probes) (workflow)
- Compute differentially expressed genes using Hypergeometric test (Illumina probes) (workflow)
- Compute differentially expressed genes using Limma (workflow)
- Construct composite modules on tracks (without site search) (analysis)
- Convert identifiers for multiple gene sets (workflow)
- Convert table to VCF track (analysis)
- Convert tracks to VCF (analysis)
- Coverage Profiles Cutoff (analysis)
- Covid-19 Differential Delay Model
- Covid 19
- Covid 19 parameters
- Create matrix logo (analysis)
- Create per TF flat files (analysis)
- Create profile from CMA model (analysis)
- Create profile from matrix library (analysis)
- Create random track (analysis)
- Create tissue-specific promoter track (analysis)
- Create transcript region track (analysis)
- Cross-species identification of enriched motifs in promoters, using orthologue information (TRANSFAC(R)) (workflow)
- Cross-species mapping to ontologies, using orthologue information (HumanPSD(TM)) (workflow)
- DNase-seq Group and Profile Generation (Previous version) (analysis)
- DNase-seq Group and Profile Generation (analysis)
- Developed models
- Docker meta
- EBarrays (analysis)
- Enriched upstream analysis (TRANSFAC(R) and TRANSPATH(R)) (workflow)
- Explain my genes (workflow)
- Export master track (analysis)
- Export metadata json (analysis)
- Export per cell clusters (analysis)
- Expression mapping
- Fast table filter (analysis)
- Fastq compressed (file format)
- Fastq mcf
- Fastx clip
- Filtering experiments by cell types (analysis)
- Find 10 master regulators in networks (TRANSPATH(R)) (workflow)
- Find 3 master regulators in networks with context genes (TRANSPATH(R)) (workflow)
- Find common effectors for multiple gene sets (GeneWays) (workflow)
- Find common effectors for multiple gene sets (TRANSPATH(R)) (workflow)
- Find common effectors in networks (GeneWays) (workflow)
- Find common effectors in networks (TRANSPATH(R)) (workflow)
- Find enriched TF binding sites in variation sites (TRANSFAC(R)) (workflow)