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Showing below up to 228 results starting with #51.
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- COVID-19 parameters for Nasopharynx
- CWL
- Calculate CMA regulation (analysis)
- Calculate weighted mutation score (analysis)
- Cell type specific TFBS prediction
- ChIP-Seq - Identify TF binding sites on peaks (TRANSFAC(R)) (workflow)
- ChIP-Seq - Identify TF binding sites on peaks for multiple datasets (TRANSFAC(R)) (workflow)
- ChIP-Seq - Identify and classify target genes (HumanPSD(TM)) (workflow)
- ChIP-Seq - Identify and classify target genes (TRANSPATH(R)) (workflow)
- ChIP-Seq - Identify and classify target genes (workflow)
- ChIP-Seq - Identify composite modules on peaks (TRANSFAC(R)) (workflow)
- ChIP-seq Analysis
- Check Workflow consistency (analysis)
- ChromatinInfo table creation (analysis)
- Cistrom construction (analysis)
- Com.developmentontheedge.beans (plugin)
- Com.developmentontheedge.server (plugin)
- Com.developmentontheedge.util (plugin)
- Compare analysis results (analysis)
- Compute coverage by window (analysis)
- 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)
- Find gene fusions from RNA-seq (workflow)
- Find genome variants and indels from RNA-seq (workflow)
- Find genome variants and indels from full-genome NGS (workflow)
- Find master regulators for multiple gene sets (GeneWays) (workflow)
- Find master regulators for multiple gene sets (TRANSPATH(R)) (workflow)
- Find master regulators in mutated network (TRANSPATH(R)) (workflow)
- Find master regulators in mutated network (workflow)
- Find master regulators in networks (GeneWays) (workflow)
- Find master regulators in networks (TRANSPATH(R)) (workflow)
- Find master regulators in networks with context genes (TRANSPATH(R)) (workflow)
- Find regulatory regions with mutations (analysis)
- Find target genes (analysis)
- Flux Balance Analysis (workflow)
- Focused upstream analysis (TRANSFAC(R) and TRANSPATH(R)) (workflow)
- GTEX Mutation effect on sites (analysis)
- GTRD comparison
- GTRD statistics
- GWAS format
- Galaxy
- Galaxy admin
- Galaxy cloud
- Gene expression prediction
- Gene set enrichment analysis (Affymetrix probes) (workflow)
- Gene set enrichment analysis (Agilent probes) (workflow)
- Gene set enrichment analysis (Gene table) (workflow)
- Gene set enrichment analysis (Illumina probes) (workflow)
- Gene set enrichment analysis - select a classification (Gene table) (workflow)
- Gene set enrichment analysis HumanPSD (Affymetrix probes) (workflow)
- Gene set enrichment analysis HumanPSD (Agilent probes) (workflow)
- Gene set enrichment analysis HumanPSD (Gene table) (workflow)
- Gene set enrichment analysis HumanPSD (Illumina probes) (workflow)
- Generate Table From JSON (analysis)
- Get miRNA targets (analysis)
- GlycanR (analysis)
- Guided linear model analysis
- Hadoop
- Hash parameters
- Headless BioUML
- Heatmap (analysis)
- Hypergeometric analysis for multiple inputs (workflow)
- IPython format
- Identify composite modules in promoters (TRANSFAC(R)) (workflow)
- Identify enriched composite modules in promoters (GTRD) (workflow)
- Identify enriched composite modules in promoters (TRANSFAC(R)) (workflow)
- Identify enriched motifs in promoters (GTRD) (workflow)
- Identify enriched motifs in promoters (TRANSFAC(R)) (workflow)
- Identify enriched motifs in tissue specific promoters (TRANSFAC(R)) (workflow)
- Identify enriched motifs in tissue specific tracks (TRANSFAC(R)) (workflow)
- Identify enriched motifs in tracks (TRANSFAC(R)) (workflow)
- Illumina microarray file
- Import from BC Platform (analysis)
- Import from TranSMART (analysis)
- Install HumanPSD(TM) database (analysis)
- Intersect tables (analysis)
- Intersect tracks (analysis)
- Join two tables (analysis)
- Jupyter
- Kinetic parameters for COVID-19 models
- LRPath (analysis)
- Landing
- Limma (analysis)
- MEALR (tracks) (analysis)
- MSAT (analysis)
- Mapping to GO ontologies and comparison for two gene sets (workflow)
- Mapping to ontologies (Gene table) (workflow)
- Mapping to ontologies (HumanPSD(TM)) (workflow)
- Mapping to ontologies (TRANSPATH(R)) (workflow)
- Mapping to ontologies and comparison for two gene sets (HumanPSD(TM)) (workflow)
- Mapping to ontologies and comparison for two gene sets (TRANSPATH(R)) (workflow)
- Mapping to ontologies for multiple gene sets (HumanPSD(TM)) (workflow)
- Mapping to ontologies for multiple gene sets (TRANSPATH(R)) (workflow)
- Mapping to ontologies for multiple gene sets (workflow)
- Mapping to ontology - select a classification (2 Gene tables) (workflow)
- Mapping to ontology - select a classification (Gene table) (workflow)
- Mapping to ontology - select a classification (Multiple Gene tables) (workflow)
- MiRNA feed forward loops (analysis)
- Model analysis
- Modeling Antihypertensive drugs
- Modeling cardiovascular system
- Muscle metabolism
- Mutation effect on sites advanced (analysis)
- N-Glycan biosynthesis
- NGS misc
- Non-Linear Mixed Effects Model
- Normalization quality plots (analysis)
- Normalize Affymetrix experiment and control (analysis)
- Normalize Agilent experiment and control (analysis)
- Normalize Illumina experiment and control (analysis)
- Open regulated genes table (analysis)
- Outer join (analysis)
- PCA (analysis)
- Patient-specific cardiovascular model
- Peaks to matrices (workflow)
- Population generation (analysis)
- Prediction of miRNA binding sites (workflow)
- Prepare target genes by expression (analysis)
- Product
- Profiles Statistics (analysis)
- QUAST
- Quantification of RNA-seq in BAM format for mouse mm9 single end (workflow)
- Quantification of RNA-seq in FASTQ format for mouse mm9 single end (workflow)
- Quantification of RNA-seq with Cufflinks (no de-novo assembly) for FASTQ files (workflow)
- Quantification of RNA-seq with Cufflinks (with de-novo assembly) for FASTQ files (workflow)
- Quantification of RNA-seq with Cufflinks for multiple BAM files (workflow)
- RAGOUT
- RNA-Seq analysis
- Reads to matrices (workflow)
- Reduce track (analysis)
- Remote application client (analysis)
- Ru.biosoft.access.search (plugin)
- Ru.biosoft.bsa.server (plugin)
- Ru.biosoft.exception (plugin)
- Ru.biosoft.fs (plugin)
- Ru.biosoft.graphics (plugin)
- Ru.biosoft.jobcontrol (plugin)
- Ru.biosoft.math (plugin)
- Ru.biosoft.plugins.graph (plugin)
- Ru.biosoft.server.tomcat (plugin)
- Ru.biosoft.services (plugin)
- Ru.biosoft.treetable (plugin)
- Ru.biosoft.vm (plugin)
- Ru.biosoft.works (plugin)
- Run analysis
- SBGN extension
- SPAdes
- SRA to FASTQ (workflow)
- Search for enriched TFBSs (genes) (analysis)
- Search for enriched TFBSs (tracks) (analysis)
- Search for self-regulating transcription factors (TRANSFAC(R) and TRANSPATH(R)) (workflow)
- Search regulated genes (analysis)
- Select files from folder (analysis)
- Server ICT
- Servers
- Site Profile Filtering (analysis)
- Site Size Filtering (analysis)
- Site prediction
- Sites Motifs Analysis
- Sites Open Chromatin Statistics (analysis)
- Sites Open Chromatin Statistics For Folders (analysis)
- Sites genome location (analysis)
- Sites genome location for folders (analysis)
- Steady State Examples
- Stub process file (analysis)
- Systems biology - model import 02
- TF binding sites prediction in genome or track (analysis)
- Tools Comparison 2022
- TrackInfo table creation (analysis)
- Tutorials
- Update master track (analysis)
- Upstream analysis (TRANSFAC(R) and GeneWays) (workflow)
- Upstream analysis (TRANSFAC(R) and TRANSPATH(R)) (workflow)
- Upstream analysis with feedback loop (TRANSFAC(R) and TRANSPATH(R)) (workflow)
- Variance filter (analysis)
- Verify Condition for Table (analysis)
- Virtual biology
- Моделирование сердечно-сосудистой системы
- Оptimization document
- Система кровообращения человека
