Identify
- BRAT – Identify Differentially Expressed Probesets in Normalized Microarray datasets
- OncodriveCLUST 0.2 – Identify Genes whose Mutations are biased towards a large Spatial Clustering
- YGA – Identifying distinct Biological Features between Yeast Gene Sets
- OCW – Identify Over-represented and Conserved Words
- SeqMap 2.0 – Identify Viral Integration Sites
- ModuleMaster 1.1 – Identify Cis-regulatory Modules using Promoter Analysis and Microarray Expression data Regression
- Qgrid – Identify Clusters of Charged and Hydrophobic Regions in Proteins
- RNAmapper v1 – Use of RNA-Seq data to Map and Identify Mutations in Zebrafish
- PCS 1.5 – Identify and Analyze Conserved K-mers in Pairwise Alignment
- The Virtual Bacterial ID Lab 1.2 – Identify deadly Pathogens
- MuTect Beta – Identify Point Mutations
- V-Phaser 1.0 / V-Profiler 1.0 – Variant Calling and Visualization tools to Identify Biological Mutations in Diverse populations
- fineSTRUCTURE 0.0.3 – Identify Population Structure using Dense Sequencing Data
- Element 2.0 – Identify Over-represented Motifs across groups of Promoters
- NetPathID – Network-based Analysis Identifies common Pathways
- TSDfinder – Identify Transposon Boundaries
- ICSNPathway – Identify Candidate Causal SNPs and Pathways from Genome-wide Association Study
- MCMCcodonsite – Identify Sites under Positive Selection
- PClouds 0.9d – Identify Repeat Structure in large Eukaryotic Genomes
- CMDS 1.0 – Identify Recurrent DNA Copy Number Changes
- ComComb 1.0 – Identify Common Combinations of Mutations across Tumor Types
- EpiC beta – Identify Target Epitopes for Antibody Design
- RNAAnalyzer – Identify Regulatory RNA Elements
- MEMo 1.1 – Identify Mutually Exclusive Driver Networks in Cancer
- BreakFusion 1.0.1 – Identify Gene Fusions from paired-end RNA-Seq data
- DiNuP 1.3 – Identify Regions of Differential Nucleosome Positioning
- CNAnova 1.0 – Identify Recurrent Regions of Copy Number Changes
- CNAseg 1.0 – Identify CNVs in cancer from NGS data
- genoCN 1.09 – Identify Copy Number States and Genotype Calls.
- verifyBamID 20120620 – Identify Contamination of Sample Swap in Sequence data
- VAAST 1.0.1 – Identify Damaged Genes and Disease-causing Variants in Personal Genome Sequences
- SAIC – Identify Significant Consensus Aberrations in Cancer Genome
- APSampler 3.601 – Use Monte Carlo Markov Chain for Identifying of Genetic Background of Complex Diseases
- coMotif 1.0 – Identify Transcription Co-regulator Binding Sites in ChIP-seq Data
- BoBro 2.0 – Identifying cis Regulatory Motifs in Prokaryotes
- FusionHunter 1.4 – Identify Fusion Transcripts from Transcriptional Analysis of Paired-end RNA-seq
- MixDB 20111206 – Identify Mixture MS/MS Spectra from more than one Peptide
- WordSpy 1.5 – Identify Transcription Factor Binding Motifs by building a dictionary and learning a grammar
- tRNAcc 1.0 – Identify Genomic Islands Associated with tRNA Genes
- OMiMa – Identify Functional Motifs in DNA or Protein Sequences
- WHICHLOCI 1.0 – Use Genotype data to Identify the loci most useful for Population Assignment
- DISTILLER 2.0 – Data Integration System To Identify Links in Expression Regulation
- COMODO 1.0 – Identify Conserved Coexpression Modules between Organisms
- DIME 1.0 – Identifying Differential ChIP-seq Based on an Ensemble of Mixture Models
- freqAnalysis – Identify Statistically Aberrant k-length Nucleotide Motifs in coding DNA sequences
- DDN – Identify Condition-specific Topological Changes in Biological Networks
- ml-SVR – Identify Condition-Specific Regulatory Networks
- NetSeed – Identify the Seed sets of Networks
- PeakSeq 1.1 – Identify and Rank Peak Regions in ChIP-Seq Experiments
- COCO-CL – Identify Orthologous set of Genes.
- RSEG 0.4.4 – Identify Epigenomic Domains from ChIP-Seq data
- EPIG – Extract Microarray Gene Expression Patterns and Identifying co-expressed Genes
- fdrMotif – Identify Cis-elements by an EM Algorithm Coupled with False Discovery Rate Control
- DiNAMIC – Identify recurrent DNA copy number Aberrations in Tumors
- ChromoScan 1.0 – Scan Statistic Application for Identifying Chromosomal Regions
- TMARG 1.0 – Association Mapping tool for Identifying Disease Associated Sites
- Screen & Clean – Software for Identifying Genome-Wide Associations
- FINDSIRE – Identify Mothers or Sires
- TIGER 1.02 – Identify Rapidly-evolving Characters in Evolutionary Data
- Pathicular 1.55 – Cytoscape plug-in of Identifies Path Motifs
- LaneRuler 1.1 – Identify Lanes in Gel Image
- Diametrical Clustering – Identify Anti-correlated Gene Clusters
- MISO 1.0 – RNA-Seq Experiments for Identifying Isoform Regulation
- COSEG 0.2.1 – Identifies Repeat Subfamilies
- noisy 1.5.12 – Identify Homo-plastic Characters in Multiple Sequence Alignments
- Cravela – Identify and Evaluate miRNA Regulatory Modules
- MONKEY 2.0 – Identify Matches to DNA Motifs in Multiple Alignments
- Bayenv – Identify Loci Underlying Local Adaptation
- Spotter 0.5 – Identify Region of Interest near Associated Variant
- SIBMED 1.0 – Identify Likely Genotyping Errors and Mutations
- OFF-TARGET PIPELINE 1.5.4.2 -Identify Off-targets of Pharmaceuticals
- SNPYGoat 1.0 – Identify Several Goat Y-chromosomal Haplotypes
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