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https://github.com/Lin-Xu-lab/SpaSNE.git

Software extension of t-distributed stochastic neighbor embedding, the spatially resolved t-SNE (SpaSNE) designed to preserve both global gene expression and spatial structure for spatially resolved profiling data. Gives comprehensive low-dimensional visualization that could best reflect the molecular similarities of cells and the spatial interactions between cells.

Proper citation: SpaSNE (RRID:SCR_026223) Copy   

•   Source: SciCrunch Registry

https://webbook.nist.gov/chemistry/

Database that provides access to organic compounds data compiled and distributed by NIST under the Standard Reference Data Program.

Proper citation: NIST Chemistry WebBook (RRID:SCR_026225) Copy   

•   Source: SciCrunch Registry

http://biocc.hrbmu.edu.cn/CancerSEA/

Database that aims to comprehensively explore distinct functional states of cancer cells at the single-cell level. Provides functional state-associated PCG/lncRNA repertoires across all cancers, in specific cancers, and in individual cancer single-cell datasets. Provides interface for comprehensively searching, browsing, visualizing and downloading functional state activity profiles of cancer single cells and corresponding PCGs/lncRNAs expression profiles.

Proper citation: CancerSEA (RRID:SCR_026155) Copy   

•   Source: SciCrunch Registry

https://dsigdb.tanlab.org/DSigDBv1.0/

Online database provides collection of gene sets based on quantitative inhibition and/or drug-induced gene expression changes data of drugs and compounds. Allows users to search, view and download drugs/compounds and gene sets.

Proper citation: DSigDB (RRID:SCR_026202) Copy   

•   Source: SciCrunch Registry

https://github.com/biocheming/watvina

Software tool as implicit or explicit water model based docking with Autodock vina engine, supporting pharmacophore /position constrained docking.Facilitates drug design with support for explicit or implicit waters, pharmacophore or position-constrained docking, and external torsion parameters (akin to amber/gaff/charmm force fields). Water Model supported protein-ligand docking with Autodock Vina engine.

Proper citation: watvina (RRID:SCR_026282) Copy   

•   Source: SciCrunch Registry

https://github.com/zengxiaofei/HapHiC

Software fast, reference-independent, allele-aware scaffolding tool based on Hi-C data. Allele-aware scaffolding tool that uses Hi-C data to scaffold haplotype-phased genome assemblies into chromosome-scale pseudomolecules.

Proper citation: HapHiC (RRID:SCR_026284) Copy   

•   Source: SciCrunch Registry

https://github.com/huayc09/SeuratExtend

Software R package that streamlines single-cell RNA-seq analysis by integrating essential tools and databases with the Seurat framework. Provides comprehensive functionality for functional enrichment, trajectory inference, gene regulatory network reconstruction, and enhanced visualization.

Proper citation: SeuratExtend (RRID:SCR_026143) Copy   

•   Source: SciCrunch Registry

http://www.computationalbioenergy.org/parallel-meta.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 30,2023. Open source pipeline for metagenomic data analysis, which enables efficient and parallel analysis of multiple metagenomic datasets and visualization of results for multiple samples. Can perform rapid data mining among microbial community data for comparative taxonomic and functional analysis.

Proper citation: Parallel-META (RRID:SCR_000121) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/bait/

Software to create strand inheritance plots in data derived from the Strand-Seq sequencing protocol. The software is designed to be flexible with a range of species, and basic template folders can called to read in species-specific data.

Proper citation: BAIT (RRID:SCR_000511) Copy   

•   Source: SciCrunch Registry

http://orphelia.gobics.de/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 23,2022. A metagenomic open reading frame (ORF) finding tool for the prediction of protein coding genes in short, environmental DNA sequences with unknown phylogenetic origin. The resource is based on a two-stage machine learning approach that uses linear discriminants to extract features from the ORFs. An artificial neural network then combines the features and computes a gene probability for each ORF fragment.

Proper citation: Orphelia (RRID:SCR_000119) Copy   

•   Source: SciCrunch Registry

http://fulxie.0fees.us/?type=reference&ckattempt=1

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 1,2023. Web-based tool for evaluating and screening reference genes from extensive experimental datasets. It integrates major computational programs (geNorm, Normfinder, BestKeeper, and the comparative delta-Ct method) to compare and rank the tested candidate reference genes. Based on the rankings from each program, it assigns an appropriate weight to an individual gene and calculated the geometric mean of their weights for the overall final ranking., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: RefFinder (RRID:SCR_000472) 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://purl.bioontology.org/ontology/GAZ

THIS RESOURCE IS NO LONGER IN SERVICE, documented on April 23, 2014. Description not available.

Proper citation: Gazetteer (RRID:SCR_000473) 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

http://www.ecnp.eu/

A pan-European scientific association to encourage research across the neurosciences and to translate new knowledge on fundamental disease mechanisms into new medicines and clinical applications. As an interdisciplinary forum for the science and treatment of disorders of the brain, they promote the communication and cross- fertilization of high-quality experimental and clinical research across the field of neuroscience. ECNP is a non-profit member-based association, independently governed and self-funded. ECNP is a public-interest-serving entity.

Proper citation: ECNP (RRID:SCR_000501) Copy   

•   Source: SciCrunch Registry

http://www.nationalmssociety.org/index.aspx

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Society helps people affected by Multiple Sclerosis by funding cutting-edge research, driving change through advocacy, facilitating professional education, and providing programs and services that help people with MS and their families move their lives forward.

Proper citation: National MS Society (RRID:SCR_000104) Copy   

•   Source: SciCrunch Registry

http://deweylab.biostat.wisc.edu/rsem/

Software package for quantifying gene and isoform abundances from single end or paired end RNA Seq data. Accurate transcript quantification from RNA Seq data with or without reference genome. Used for accurate quantification of gene and isoform expression from RNA-Seq data.

Proper citation: RSEM (RRID:SCR_000262) Copy   

•   Source: SciCrunch Registry

http://teddy.epi.usf.edu/

International consortium of six centers assembled to participate in the development and implementation of studies to identify infectious agents, dietary factors, or other environmental agents, including psychosocial factors, that trigger type 1 diabetes in genetically susceptible people. The coordinating centers recruit and enroll subjects, obtaining informed consent from parents prior to or shortly after birth, genetic and other types of samples from neonates and parents, and prospectively following selected neonates throughout childhood or until development of islet autoimmunity or T1DM. The study tracks child diet, illnesses, allergies and other life experiences. A blood sample is taken from children every 3 months for 4 years. After 4 years, children will be seen every 6 months until the age of 15 years. Children are tested for 3 different autoantibodies. The study will compare the life experiences and blood and stool tests of the children who get autoantibodies and diabetes with some of those children who do not get autoantibodies or diabetes. In this way the study hopes to find the triggers of T1DM in children with higher risk genes.

Proper citation: TEDDY (RRID:SCR_000383) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/mri_lbptop/

The packaged tools perform Local Binary Pattern on Three Orthogonal Planes (LBP-TOP) analysis on MR brain images. One can use them to extract LBP texture features for machine learning applications or other advance analysis. Bash scripts performing simple preprocessing with FSL and AFNI as well as LBP mapping programs written by Java are both including in this package. The output is the histogram describing the brain morphology.

Proper citation: Local Binary Pattern Analysis Tools for MR Brain Images (RRID:SCR_000412) Copy   

•   Source: SciCrunch Registry

http://micro-manager.org

Software package for control of automated microscopes. Cross-platform desktop application, to control motorized microscopes, scientific cameras, stages, illuminators, and other microscope accessories.

Proper citation: uManager (RRID:SCR_000415) Copy   

•   Source: SciCrunch Registry