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- Cluster analysis (19:00, 13 February 2017)
- ChIP-Seq peaks clusterization (analysis) (19:00, 13 February 2017)
- Create matrix by mixture of normal components (analysis) (19:00, 13 February 2017)
- IPS prediction (analysis) (19:00, 13 February 2017)
- Identical best site ROC-curves (analysis) (19:00, 13 February 2017)
- Common and IPS scores correlation (analysis) (19:00, 13 February 2017)
- IPS ROC-curves (analysis) (19:00, 13 February 2017)
- Correlations of best sites (analysis) (19:00, 13 February 2017)
- ChIP-Seq characteristics distribution (analysis) (19:00, 13 February 2017)
- Locations of best sites (analysis) (19:00, 13 February 2017)
- Matrix comparison (analysis) (19:00, 13 February 2017)
- Mixture of normal components (analysis) (19:00, 13 February 2017)
- Oligonucleotides in sequence samples (analysis) (19:00, 13 February 2017)
- Matrix derivation (analysis) (19:00, 13 February 2017)
- Prediction of TF-binding sites of given TF (analysis) (19:00, 13 February 2017)
- ROC curves for best sites union (analysis) (19:00, 13 February 2017)
- Ribo-Seq and mRNA features forming (analysis) (19:00, 13 February 2017)
- ROC-curves in grouped peaks (analysis) (19:00, 13 February 2017)
- ROC-curves in clusterized peaks (analysis) (19:00, 13 February 2017)
- ROC-curves in overlapped ChIP-Seq peaks (analysis) (19:00, 13 February 2017)
- Univariate samples analysis (19:00, 13 February 2017)
- Colon cancer signature (analysis) (19:00, 13 February 2017)
- Transform track to table (analysis) (19:00, 13 February 2017)
- Univariate sample analysis (19:00, 13 February 2017)
- BioUML format (19:00, 13 February 2017)
- CellML (file format) (19:00, 13 February 2017)
- Antimony (file format) (19:00, 13 February 2017)
- BioNetGen language format (19:01, 13 February 2017)
- GinSim (file format) (19:01, 13 February 2017)
- SIF (file format) (19:01, 13 February 2017)
- SBGN-ML (file format) (19:01, 13 February 2017)
- SBML (file format) (19:01, 13 February 2017)
- SBML(CellDesigner) (file format) (19:01, 13 February 2017)
- SED-ML file (19:01, 13 February 2017)
- Save network (analysis) (19:01, 13 February 2017)
- Visualize results (analysis) (19:01, 13 February 2017)
- Save hits (analysis) (19:01, 13 February 2017)
- Simulate Population (analysis) (19:01, 13 February 2017)
- Flux Balance Analysis (workflow) (19:02, 13 February 2017)
- Quantification of RNA-seq in BAM format for mouse mm9 single end (workflow) (19:02, 13 February 2017)
- Quantification of RNA-seq in FASTQ format for mouse mm9 single end (workflow) (19:02, 13 February 2017)
- Identify enriched motifs in tissue specific tracks (TRANSFAC(R)) (workflow) (19:02, 13 February 2017)
- Find master regulators in networks with context genes (TRANSPATH(R)) (workflow) (19:02, 13 February 2017)
- Identify enriched motifs in tissue specific promoters (TRANSFAC(R)) (workflow) (19:02, 13 February 2017)
- Find 10 master regulators in networks (TRANSPATH(R)) (workflow) (19:02, 13 February 2017)
- Cross-species identification of enriched motifs in promoters, using orthologue information (TRANSFAC(R)) (workflow) (19:02, 13 February 2017)
- Find master regulators in mutated network (workflow) (19:02, 13 February 2017)
- Find 3 master regulators in networks with context genes (TRANSPATH(R)) (workflow) (19:02, 13 February 2017)
- Search for self-regulating transcription factors (TRANSFAC(R) and TRANSPATH(R)) (workflow) (19:02, 13 February 2017)
- Focused upstream analysis (TRANSFAC(R) and TRANSPATH(R)) (workflow) (19:02, 13 February 2017)
