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http://zhanglab.ccmb.med.umich.edu/I-TASSER/

Web server as integrated platform for automated protein structure and function prediction. Used for protein 3D structure prediction. Resource for automated protein structure prediction and structure-based function annotation.

Proper citation: I-TASSER (RRID:SCR_014627) Copy   

•   Source: SciCrunch Registry

http://cole-trapnell-lab.github.io/cufflinks/cuffmerge/

Software tool for transcriptome assembly and differential expression analysis for RNA-Seq. Includes script called cuffmerge that can be used to merge together several Cufflinks assemblies. It also handles running Cuffcompare as well as automatically filtering a number of transfrags that are likely to be artifacts. If the researcher has a reference GTF file, the researcher can provide it to the script to more effectively merge novel isoforms and maximize overall assembly quality.

Proper citation: Cufflinks (RRID:SCR_014597) Copy   

•   Source: SciCrunch Registry

http://www.sailing.cs.cmu.edu/main/?page_id=511

Automatic software program for profiling spatial gene expression patterns from Fly embryo ISH images. It utilizes image-based genome-scale profiling of whole-body mRNA patterns.

Proper citation: SPEX2 (RRID:SCR_014923) Copy   

•   Source: SciCrunch Registry

http://bix.ucsd.edu/repeatscout/

Algorithm used to identify de novo repeat families in newly sequenced genomes. Repeat libraries for C. briggsae, M. muscles (X chromosome), R. novegicus (X chromosome), armadillo, H. sapiens (X chromosome), and various other mammals created using RepeatScout are available on the main site., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: RepeatScout (RRID:SCR_014653) Copy   

•   Source: SciCrunch Registry

http://bioinformatics.psb.ugent.be/orcae/

Online genome annotation tool for validating and correcting gene annotations. OrcAE is community-driven and can be edited by account-holders in the research community.

Proper citation: Online Resource for Community Annotation of Eukaryotes (RRID:SCR_014989) Copy   

•   Source: SciCrunch Registry

http://www.vicbioinformatics.com/software.prokka.shtml

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software tool for the rapid annotation of prokaryotic genomes. It produces GFF3, GBK and SQN files that are ready for editing in Sequin and ultimately submitted to Genbank/DDJB/ENA. A typical 4 Mbp genome can be fully annotated in less than 10 minutes on a quad-core computer, and scales well to 32 core SMP systems., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Prokka (RRID:SCR_014732) Copy   

•   Source: SciCrunch Registry

http://www.stavroX.com

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 29,2023. Software tool for the analysis of cross-linking/mass spectrometry datasets using MS-cleavable cross-linkers. MeroX is specialized for MS/MS-cleavable cross linking reagents and identifies the specific fragmentation products of the cleavable cross links.

Proper citation: MeroX (RRID:SCR_014956) Copy   

•   Source: SciCrunch Registry

https://dogma.ccbb.utexas.edu/

Web-based annotation tool for plant chloroplasts and animal mitochondrial genomes. DOGMA allows the use of BLAST searches against a custom database, and conservation of basepairing in the secondary structure of animal mitochondrial tRNAs to identify and annotate genes.

Proper citation: DOGMA (RRID:SCR_015060) Copy   

•   Source: SciCrunch Registry

http://www.mybiosoftware.com/seaview-4-2-12-sequence-alignment-phylogenetic-tree-building.html

Graphical user interface for multiple sequence alignment and molecular phylogeny. SeaView also generates phylogenetic trees.

Proper citation: SeaView (RRID:SCR_015059) Copy   

•   Source: SciCrunch Registry

http://busco.ezlab.org/

Software tool to quantitatively measure genome assembly and annotation completeness based on evolutionarily informed expectations of gene content.

Proper citation: BUSCO (RRID:SCR_015008) Copy   

•   Source: SciCrunch Registry

http://floresta.eead.csic.es/primers4clades

Web application for the design of PCR primers for cross-species amplification of novel sequences from metagenomic DNA or from uncharacterized organisms belonging to user-specified phylogenetic lineages. It implements an extended CODEHOP strategy and evaluates thermodynamic properties of the oligonucleotide pairs.

Proper citation: primers4clades (RRID:SCR_015714) Copy   

•   Source: SciCrunch Registry

http://amp.pharm.mssm.edu/clustergrammer/

Clustergrammer is a web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable hierarchically clustered heatmaps. Clustergrammer enables intuitive exploration of high-dimensional data and has several optional biology-specific features.

Proper citation: clustergrammer (RRID:SCR_015681) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/release/bioc/html/oligo.html

Software package to analyze oligonucleotide arrays (expression/SNP/tiling/exon) at probe-level. It currently supports Affymetrix (CEL files) and NimbleGen arrays (XYS files).

Proper citation: oligo (RRID:SCR_015729) Copy   

•   Source: SciCrunch Registry

https://github.com/BGI-SZ/BSVF

Software code for bisulfite sequencing virus integration. This finder is for directional libraries only and does not support PBAT and indirectional libraries.

Proper citation: BSVF (RRID:SCR_015727) Copy   

•   Source: SciCrunch Registry

http://www.genepattern-notebook.org/

Interactive analysis notebook environment that streamlines genomics research by interleaving text, multimedia, and executable code into unified, sharable, reproducible “research narratives.” It integrates the dynamic capabilities of notebook systems with an investigator-focused, simple interface that provides access to hundreds of genomic tools without the need to write code.

Proper citation: GenePattern Notebook (RRID:SCR_015699) Copy   

•   Source: SciCrunch Registry

http://diseases.jensenlab.org/

Database that integrates evidence on disease-gene associations from automatic text mining, manually curated literature, cancer mutation data, and genome-wide association studies. It also assigns confidence scores that facilitate comparison of the different types and sources of evidence.

Proper citation: DISEASES (RRID:SCR_015664) Copy   

•   Source: SciCrunch Registry

http://tissues.jensenlab.org

Database that integrates evidence on tissue expression from manually curated literature, proteomics and transcriptomics screens, and automatic text mining. It maps all evidence to common protein identifiers and Brenda Tissue Ontology terms, and further unifies it by assigning confidence scores that facilitate comparison of the different types and sources of evidence.

Proper citation: TISSUES (RRID:SCR_015665) Copy   

•   Source: SciCrunch Registry

http://ccb.jhu.edu/software/hisat2/index.shtml

Graph-based alignment of next generation sequencing reads to a population of genomes.

Proper citation: HISAT2 (RRID:SCR_015530) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/DOID

Comprehensive hierarchical controlled vocabulary for human disease representation.Open source ontology for integration of biomedical data associated with human disease. Disease Ontology database represents comprehensive knowledge base of inherited, developmental and acquired human diseases.

Proper citation: Human Disease Ontology (RRID:SCR_000476) Copy   

•   Source: SciCrunch Registry

http://www.aetionomy.eu/

Consortium founded to establish mechanism-based taxonomies for Alzheimer's and Parkinson's disease and other neurodegenerative disorders (NDD), with the goal of facilitating development of more effective and targeted treatments. To do this, the consortium collects and analyzes data to: * Create new ways to combine underutilized data currently available in the literature, public databases, and from private companies * Determine how to dynamically organize and structure different types of knowledge about NDD * Determine how to apply this knowledge to construct new patient group classification * Identify correlations between disease features at molecular, tissue or organ-specific, and clinical levels * Identify sub-groups of patients based on the molecular cause of their disease, as opposed to the nature and location of their symptoms * Deliver data, tools, and recommendations for the biomedical community in the treatment of NDD A mechanism-based taxonomy is hoped to advance the: # Description and organization of the indication-specific data # Linking of data to disease models, based on causal and correlative relationships The expected outcome of AETIONOMY is a new NDD taxonomy system that distinguishes mixed pathologies, allowing for new features or classes to be added into the taxonomy, all with the goal of aiding drug and biomarker discovery.

Proper citation: AETIONOMY (RRID:SCR_000232) Copy   

•   Source: SciCrunch Registry