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- Antimony (18:08, 21 July 2015)
- BioNetGen (18:16, 21 July 2015)
- Tests (11:13, 25 August 2015)
- Probes - Affymetrix miRNA-1-0 (12:18, 25 August 2015)
- CRISPR Cas9 and specific oligonucleotides (analysis) (12:19, 25 August 2015)
- Binding regions summary (analysis) (12:19, 25 August 2015)
- Cis-module identification (analysis) (12:19, 25 August 2015)
- Cis-module sets near given genes (analysis) (12:19, 25 August 2015)
- Convert files to tracks (analysis) (12:19, 25 August 2015)
- Distinct TF classes (analysis) (12:19, 25 August 2015)
- Count olig frequencies (analysis) (12:19, 25 August 2015)
- Gathering genome statistics (analysis) (12:19, 25 August 2015)
- Filtration of predicted sites by filters (analysis) (12:19, 25 August 2015)
- Identification of cis-regulatory modules with given pattern of TF-classes (analysis) (12:19, 25 August 2015)
- Identification of composite elements by filters (analysis) (12:20, 25 August 2015)
- Merge binding regions for cell-lines (analysis) (12:20, 25 August 2015)
- Peak finders comparison (analysis) (12:20, 25 August 2015)
- Non-merged ChIP-Seq tracks summary (analysis) (12:20, 25 August 2015)
- Multivariate regression analysis (12:20, 25 August 2015)
- Multivariate sample analysis (12:20, 25 August 2015)
- Two multivariate sample analysis (12:20, 25 August 2015)
- Summary on AUCs (analysis) (12:20, 25 August 2015)
- BioPAX file (12:20, 25 August 2015)
- Data (host object) (12:21, 25 August 2015)
- Transform (host object) (12:21, 25 August 2015)
- Identify enriched motifs in promoters (TRANSFAC(R)) (workflow) (12:22, 25 August 2015)
- Identify enriched motifs in tracks (TRANSFAC(R)) (workflow) (12:22, 25 August 2015)
- Find enriched TF binding sites in variation sites (TRANSFAC(R)) (workflow) (12:22, 25 August 2015)
- Enriched upstream analysis (TRANSFAC(R) and TRANSPATH(R)) (workflow) (12:22, 25 August 2015)
- Mapping to ontologies and comparison for two gene sets (TRANSPATH(R)) (workflow) (12:22, 25 August 2015)
- Find common effectors for multiple gene sets (TRANSPATH(R)) (workflow) (12:22, 25 August 2015)
- Patient-specific cardiovascular model (15:08, 25 September 2015)
- RADAU V (15:06, 11 November 2015)
- Dormand-Prince (15:08, 11 November 2015)
- BioUML workbench (15:46, 29 September 2016)
- Presentations (13:53, 18 October 2016)
- Muscle metabolism (18:10, 25 November 2016)
- BioUML development roadmap (14:56, 11 January 2017)
- Euler (12:11, 10 February 2017)
- JVODE (21:47, 12 February 2017)
- Simulation (22:25, 12 February 2017)
- Substances - DrugBank (18:58, 13 February 2017)
- Substances - KEGG (18:58, 13 February 2017)
- Substances - CAS (18:58, 13 February 2017)
- Proteins - Ensembl (18:59, 13 February 2017)
- Genes - Ensembl (18:59, 13 February 2017)
- Transcripts - Ensembl (18:59, 13 February 2017)
- Proteins - Transpath isogroups (18:59, 13 February 2017)
- Substances (reference type) (18:59, 13 February 2017)
- Create custom project (analysis) (18:59, 13 February 2017)
- 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)
- IPS ROC-curves (analysis) (19:00, 13 February 2017)
- Common and IPS scores correlation (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)
- Transform track to table (analysis) (19:00, 13 February 2017)
- Univariate sample analysis (19:00, 13 February 2017)
- Colon cancer signature (analysis) (19:00, 13 February 2017)
- Univariate samples 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)
- Biouml.plugins.chebi (plugin) (19:02, 13 February 2017)
- Biouml.plugins.chipmunk (plugin) (19:02, 13 February 2017)
- Biouml.plugins.bowtie (plugin) (19:02, 13 February 2017)
- Biouml.plugins.agentmodeling (plugin) (19:02, 13 February 2017)
- Biouml.plugins.agilent (plugin) (19:02, 13 February 2017)
- Biouml.plugins.cellml (plugin) (19:02, 13 February 2017)
- Biouml.plugins.creasemarks (plugin) (19:02, 13 February 2017)
- Biouml.plugins.das (plugin) (19:02, 13 February 2017)
- Biouml.plugins.download (plugin) (19:02, 13 February 2017)
- Biouml.plugins.chemoinformatics (plugin) (19:02, 13 February 2017)
- Biouml.plugins.antimony (plugin) (19:02, 13 February 2017)
- Biouml.plugins.bionetgen (plugin) (19:02, 13 February 2017)
- Biouml.plugins.dropbox (plugin) (19:02, 13 February 2017)
- Biouml.plugins.endonet (plugin) (19:02, 13 February 2017)
- Biouml.plugins.biopax (plugin) (19:02, 13 February 2017)
- Biouml.plugins.expasy (plugin) (19:02, 13 February 2017)
- Biouml.plugins.expression (plugin) (19:02, 13 February 2017)
- Biouml.plugins.fbc (plugin) (19:02, 13 February 2017)
- Biouml.plugins.modelreduction (plugin) (19:03, 13 February 2017)
- Biouml.plugins.lucene (plugin) (19:03, 13 February 2017)
- Biouml.plugins.matlab (plugin) (19:03, 13 February 2017)
- Biouml.plugins.gxl (plugin) (19:03, 13 February 2017)
- Biouml.plugins.geneways (plugin) (19:03, 13 February 2017)
- Biouml.plugins.node (plugin) (19:03, 13 February 2017)
- Biouml.plugins.microarray (plugin) (19:03, 13 February 2017)
- Biouml.plugins.genemodels (plugin) (19:03, 13 February 2017)
- Biouml.plugins.genenet (plugin) (19:03, 13 February 2017)
- Biouml.plugins.hemodynamics (plugin) (19:03, 13 February 2017)
- Biouml.plugins.glycan (plugin) (19:03, 13 February 2017)
- Biouml.plugins.gne (plugin) (19:03, 13 February 2017)
- Biouml.plugins.go (plugin) (19:03, 13 February 2017)
- Biouml.plugins.googledrive (plugin) (19:03, 13 February 2017)
- Biouml.plugins.kegg (plugin) (19:03, 13 February 2017)
- Biouml.plugins.ginsim (plugin) (19:03, 13 February 2017)
- Biouml.plugins.graphml (plugin) (19:03, 13 February 2017)
- Biouml.plugins.miriam (plugin) (19:03, 13 February 2017)
- Biouml.plugins.perfectosape (plugin) (19:03, 13 February 2017)
- Biouml.plugins.proteinmodel (plugin) (19:03, 13 February 2017)
- Biouml.plugins.obo (plugin) (19:03, 13 February 2017)
- Biouml.plugins.optimization (plugin) (19:03, 13 February 2017)
- Biouml.plugins.pass (plugin) (19:03, 13 February 2017)
- Biouml.plugins.psimi (plugin) (19:03, 13 February 2017)
- Biouml.plugins.reactome.biohub (plugin) (19:03, 13 February 2017)
- Biouml.plugins.research (plugin) (19:03, 13 February 2017)
- Biouml.plugins.riboseqArticleResult (plugin) (19:03, 13 February 2017)
- Biouml.plugins.sabiork (plugin) (19:03, 13 February 2017)
- Biouml.plugins.sbgn (plugin) (19:03, 13 February 2017)
- Biouml.plugins.metabolics (plugin) (19:03, 13 February 2017)
- Biouml.plugins.sbw (plugin) (19:03, 13 February 2017)
- Biouml.plugins.svg (plugin) (19:03, 13 February 2017)
- Biouml.workbench.graph (plugin) (19:03, 13 February 2017)
- Com.developmentontheedge.server (plugin) (19:03, 13 February 2017)
- Biouml.plugins.test (plugin) (19:03, 13 February 2017)
- Biouml.plugins.sedml (plugin) (19:03, 13 February 2017)
- Biouml.plugins.wiki (plugin) (19:03, 13 February 2017)
- Ru.biosoft.access (plugin) (19:03, 13 February 2017)
- Biouml.plugins.users (plugin) (19:03, 13 February 2017)
- Ru.biosoft.access.search (plugin) (19:03, 13 February 2017)
- Com.developmentontheedge.util (plugin) (19:03, 13 February 2017)
- Biouml.plugins.stochastic (plugin) (19:03, 13 February 2017)
- Biouml.plugins.sbml (plugin) (19:03, 13 February 2017)
- Biouml.plugins.transfac (plugin) (19:03, 13 February 2017)
- Ru.biosoft.analysis.optimization (plugin) (19:03, 13 February 2017)
- Biouml.plugins.server (plugin) (19:03, 13 February 2017)
- Biouml.plugins.simulation (plugin) (19:03, 13 February 2017)
- Biouml.plugins.uniprot (plugin) (19:03, 13 February 2017)
- Biouml.plugins.softberry (plugin) (19:03, 13 February 2017)
- Biouml.plugins.simulation-test (plugin) (19:03, 13 February 2017)
- Biouml.workbench (plugin) (19:03, 13 February 2017)
- Ru.biosoft.fs (plugin) (19:03, 13 February 2017)
- Ru.biosoft.galaxy (plugin) (19:03, 13 February 2017)
- Ru.biosoft.graphics (plugin) (19:03, 13 February 2017)
- Ru.biosoft.bsa.server (plugin) (19:03, 13 February 2017)
- Ru.biosoft.graph (plugin) (19:03, 13 February 2017)
- Biouml.plugins.seek (plugin) (19:03, 13 February 2017)
- Ru.biosoft.proteome (plugin) (19:03, 13 February 2017)
- Ru.biosoft.plugins.graph (plugin) (19:03, 13 February 2017)
- Ru.biosoft.table (plugin) (19:03, 13 February 2017)
- Ru.biosoft.services (plugin) (19:03, 13 February 2017)
- Ru.biosoft.vm (plugin) (19:03, 13 February 2017)
- Ru.biosoft.server.tomcat (plugin) (19:03, 13 February 2017)
- Ru.biosoft.server (plugin) (19:03, 13 February 2017)
- Ru.biosoft.plugins.javascript (plugin) (19:03, 13 February 2017)
- Ru.biosoft.plugins.jri (plugin) (19:03, 13 February 2017)
- Ru.biosoft.works (plugin) (19:03, 13 February 2017)
- Ru.biosoft.server.servlets (plugin) (19:03, 13 February 2017)
- Ru.biosoft.templates (plugin) (19:03, 13 February 2017)
- Ru.biosoft.treetable (plugin) (19:03, 13 February 2017)
- Ru.biosoft.math (plugin) (19:03, 13 February 2017)
- Ru.biosoft.workbench (plugin) (19:03, 13 February 2017)
- Servers (21:54, 3 April 2017)
- Modeling cardiovascular system (17:08, 3 October 2017)
- GTRD Workflow (17:59, 29 November 2017)
- Creating Galaxy tool (14:04, 17 January 2018)
- Моделирование сердечно-сосудистой системы (17:18, 25 January 2018)
- Gene expression prediction (22:09, 1 April 2018)
- Cell type specific TFBS prediction (15:15, 5 April 2018)
- Ensembl installation (13:58, 24 October 2018)
- Download (16:20, 25 December 2018)
- Landing (16:44, 26 December 2018)
- Modeling Antihypertensive drugs (18:38, 21 January 2019)
- DAE Models examples (13:23, 12 March 2019)
- Drugs - DrugBank (16:30, 12 March 2019)
- Categories - BKL (16:30, 12 March 2019)
- Substances - DrugBank (geneXplain) (16:30, 12 March 2019)
- Substances - Pharmaceutical compounds (16:30, 12 March 2019)
- Proteins - Reactome (16:30, 12 March 2019)
- Stem-loop-miRNA - miRBase (16:30, 12 March 2019)
- Mature-miRNA - miRBase (16:30, 12 March 2019)
- Substances - ChEBI (16:30, 12 March 2019)
- Methylation probes - Illumina (16:31, 12 March 2019)
- Proteins - UniProt (16:31, 12 March 2019)
- Probes - Affymetrix HTA-2-0 (16:31, 12 March 2019)
- Classification analysis (16:32, 12 March 2019)
- Data matrix operations (analysis) (16:32, 12 March 2019)
- LS-regression analysis (16:32, 12 March 2019)
- Regression analysis (16:32, 12 March 2019)
- LincRNA and mRNA features (analysis) (16:32, 12 March 2019)
- Colon cancer signature2 (analysis) (16:32, 12 March 2019)
- Calculate TFs regulatory score (analysis) (16:33, 12 March 2019)
- Cytoscape network format (16:33, 12 March 2019)
- Add reactants (analysis) (16:33, 12 March 2019)
- Add expression values (analysis) (16:33, 12 March 2019)
- Find longest connected chains (analysis) (16:33, 12 March 2019)
- Find shortest path between two sets (analysis) (16:33, 12 March 2019)
- Regulator search (analysis) (16:33, 12 March 2019)
- Bsa (host object) (16:34, 12 March 2019)
- Enrichment (host object) (16:34, 12 March 2019)
- Model (host object) (16:34, 12 March 2019)
- Normalize (host object) (16:34, 12 March 2019)
- Analyze any DNA sequence, EMBL (workflow) (16:34, 12 March 2019)
- Compute differentially expressed genes (Affymetrix probes) (workflow) (16:34, 12 March 2019)
- ChIP-Seq - Identify and classify target genes (workflow) (16:34, 12 March 2019)
- Analyze any DNA sequence, Fasta (workflow) (16:34, 12 March 2019)
- Analyze any DNA sequence, GeneBank (workflow) (16:34, 12 March 2019)
- Compute differentially expressed genes (Agilent Tox probes) (workflow) (16:34, 12 March 2019)
- Compute differentially expressed genes (Agilent probes) (workflow) (16:34, 12 March 2019)
- Compute differentially expressed genes (Illumina probes) (workflow) (16:34, 12 March 2019)
- Compute differentially expressed genes using Hypergeometric test (Affymetrix probes) (workflow) (16:34, 12 March 2019)
- Compute differentially expressed genes using Hypergeometric test (Agilent probes) (workflow) (16:34, 12 March 2019)
- Compute differentially expressed genes using Hypergeometric test (Illumina probes) (workflow) (16:34, 12 March 2019)
- Convert identifiers for multiple gene sets (workflow) (16:34, 12 March 2019)
- Compute differentially expressed genes using EBarrays (workflow) (16:34, 12 March 2019)
- Compute differentially expressed genes using Limma (workflow) (16:34, 12 March 2019)
- Find common effectors for multiple gene sets (GeneWays) (workflow) (16:34, 12 March 2019)
- Explain my genes (workflow) (16:34, 12 March 2019)
- Find genome variants and indels from full-genome NGS (workflow) (16:34, 12 March 2019)
- Find common effectors in networks (GeneWays) (workflow) (16:34, 12 March 2019)
- Find gene fusions from RNA-seq (workflow) (16:34, 12 March 2019)
- Find genome variants and indels from RNA-seq (workflow) (16:34, 12 March 2019)