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http://bio-bigdata.hrbmu.edu.cn/diseasemeth/

Human disease methylation database. DiseaseMeth version 2.0 is focused on aberrant methylomes of human diseases. Used for understanding of DNA methylation driven human diseases.

Proper citation: DiseaseMeth (RRID:SCR_005942) Copy   

•   Source: SciCrunch Registry

http://202.38.126.151:8080/SDisease/

Curated database of experimentally supported data of RNA Splicing mutation and disease. The RNA Splicing mutations include cis-acting mutations that disrupt splicing and trans-acting mutations that affecting RNA-dependent functions that cause disease. Information such as EntrezGeneID, gene genomic sequence, mutation (nucleotide substitutions, deletions and insertions), mutation location within the gene, organism, detailed description of the splicing mutation and references are also given. Users are able to submit new entries to the database. This database integrating RNA splicing and disease associations would be helpful for understanding not only the RNA splicing but also its contribution to disease. In SpliceDisease database, they manually curated 2337 splicing mutation disease entries involving 303 genes and 370 diseases, which have been supported experimentally in 898 publications. The SpliceDisease database provides information including the change of the nucleotide in the sequence, the location of the mutation on the gene, the reference PubMed ID and detailed description for the relationship among gene mutations, splicing defects and diseases. They standardized the names of the diseases and genes and provided links for these genes to NCBI and UCSC genome browser for further annotation and genomic sequences. For the location of the mutation, they give direct links of the entry to the respective position/region in the genome browser.

Proper citation: SpliceDisease (RRID:SCR_006130) Copy   

•   Source: SciCrunch Registry

http://code.google.com/p/panda-tool/

Software matlab toolbox for pipeline processing of diffusion MRI images. For each subject, PANDA can provide outputs in 2 types: i) diffusion parameter data that is ready for statistical analysis; ii) brain anatomical networks constructed by using diffusion tractography. Particularly, there are 3 types of resultant diffusion parameter data: WM atlas-level, voxel-level and TBSS-level. The brain network generated by PANDA has various edge definitions, e.g. fiber number, length, or FA-weighted. The key advantages of PANDA are as follows: # fully-automatic processing from raw DICOM/NIFTI to final outputs; # Supporting both sequential and parallel computation. The parallel environment can be a single desktop with multiple-cores or a computing cluster with a SGE system; # A very friendly GUI (graphical user interface).

Proper citation: PANDA (RRID:SCR_002511) Copy   

•   Source: SciCrunch Registry

http://indel.bioinfo.sdu.edu.cn/gridsphere/gridsphere

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. Indel Flanking Region Database is an online resource for indels and the flanking regions of proteins in SCOP superfamilies, including amino acid sequences, lengths, locations, secondary structure constitutions, hydrophilicity / hydrophobicity, domain information, 3D structures and so on. It aims at providing a comprehensive dataset for analyzing the qualities of amino acid insertion/deletions(indels), substitutions and the relationship between them. The indels were obtained through the pairwise alignment of homologous structures in SCOP superfamilies. The IndelFR database contains 2,925,017 indels with flanking regions extracted from 373,402 structural alignment pairs of 12,573 non-redundant domains from 1053 superfamilies. IndelFR has already been used for molecular evolution studies and may help to promote future functional studies of indels and their flanking regions.

Proper citation: IndelFR - Indel Flanking Region Database (RRID:SCR_006050) Copy   

•   Source: SciCrunch Registry

http://202.120.189.88/drvis/

Dr.VIS collects and locates human disease-related viral integration sites. So far, about 600 sites covering 5 virus organisms and 11 human diseases are available. Integration sites in Dr.VIS are located against chromosome, cytoband, gene and refseq position as specific as possible. Viral-cellular junction sequences are extracted from papers and nucleotide databases, and linked to corresponding integration sites Graphic views summarizing distribution of viral integration sites are generated according to chromosome maps. Dr.VIS is built with a hope to facilitate research of human diseases and viruses. Dr.VIS provides curated knowledge of integration sites from chromosome region narrow to genomic position, as well as junction sequences if available. Dr.VIS is an open resource for free.

Proper citation: Dr.VIS - Human Disease-Related Viral Integration Sites (RRID:SCR_005965) Copy   

•   Source: SciCrunch Registry

http://omicslab.genetics.ac.cn/GOEAST/

Gene Ontology Enrichment Analysis Software Toolkit (GOEAST) is a web based software toolkit providing easy to use, visualizable, comprehensive and unbiased Gene Ontology (GO) analysis for high-throughput experimental results, especially for results from microarray hybridization experiments. The main function of GOEAST is to identify significantly enriched GO terms among give lists of genes using accurate statistical methods. Compared with available GO analysis tools, GOEAST has the following unique features: * GOEAST supports analysis for data from various resources, such as expression data obtained using Affymetrix, illumina, Agilent or customized microarray platforms. GOEAST also supports non-microarray based experimental data. The web-based feature makes GOEAST very user friendly; users only have to provide a list of genes in correct formats. * GOEAST provides visualizable analysis results, by generating graphs exhibiting enriched GO terms as well as their relationships in the whole GO hierarchy. * Note that GOEAST generates separate graph for each of the three GO categories, namely biological process, molecular function and cellular component. * GOEAST allows comparison of results from multiple experiments (see Multi-GOEAST tool). The displayed color of each GO term node in graphs generated by Multi-GOEAST is the combination of different colors used in individual GOEAST analysis. Platform: Online tool

Proper citation: GOEAST - Gene Ontology Enrichment Analysis Software Toolkit (RRID:SCR_006580) Copy   

•   Source: SciCrunch Registry

http://www.noncode.org/

Collection of non-coding RNAs (excluding tRNAs and rRNAs) as an integrated knowledge database. Used to get text information such as class,name,location,related publication,mechanism through which it exerts its function, view figures which show their location in the genome or in a specific DNA fragment, and the regulation elements flanking the ncRNA gene sequences.

Proper citation: NONCODE (RRID:SCR_007822) Copy   

•   Source: SciCrunch Registry

http://bis.zju.edu.cn/DaTo/

A biological database and software tool catalog based on text mined and human annotated url mentions in PubMed abstracts. Data are annotated as to the author''''s country of origin and url status is checked.

Proper citation: DaTo (RRID:SCR_010280) Copy   

•   Source: SciCrunch Registry

http://cmbi.bjmu.edu.cn/mirsnp

Database of human SNPs in predicted miRNA-mRNA binding sites, based on information from dbSNP135 and mirBASE18. MirSNP is highly sensitive and covers most experiments confirmed SNPs that affect miRNA function. MirSNP may be combined with researchers' own GWAS or eQTL positive data sets to identify the putative miRNA-related SNPs from traits/diseases associated variants. They aim to update the MirSNP database as new versions of mirBASE and dbSNP database become available.

Proper citation: MirSNP (RRID:SCR_001629) Copy   

•   Source: SciCrunch Registry

http://www.bioguo.org/AnimalTFDB/

A comprehensive transcription factor (TF) database in which they identified and classified all the genome-wide TFs in 50 sequenced animal genomes (Ensembl release version 60). In addition to TFs, it also collects transcription co-factors and chromatin remodeling factors of those genomes, which play regulatory roles in transcription. Here they defined the TFs as proteins containing a sequence-specific DNA-binding domain (DBD) and regulating target gene expression. Currently, the AnimalTFDB classifies all the animal TFs into 72 families according to their conserved DBDs. Gene lists of transcription factors, transcription co-factors and chromatin remodeling factors of each species are available for downloading., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: AnimalTFDB (RRID:SCR_001624) Copy   

•   Source: SciCrunch Registry

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

Database provides cell markers for various cell types in tissues of human and mouse. Manually curated resource of cell markers in human and mouse. Provides user-friendly interface for browsing, searching and downloading markers of diverse cell types of different tissues. Summarized marker prevalence in each cell type is graphically presented., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: CellMarker (RRID:SCR_018503) Copy   

•   Source: SciCrunch Registry

http://bioinfo.life.hust.edu.cn/EVmiRNA/#!/

Collection of comprehensive miRNA expression profiles in extracellular vesicles from tissues. Includes miRNA expression profiles, miRNA regulated pathways, miRNA function, miRNA related drugs and publications to support miRNA biomarker discovery.

Proper citation: EVmiRNA (RRID:SCR_018795) Copy   

•   Source: SciCrunch Registry

https://tcmsp-e.com/tcmsp.php

Pharmacology platform of Chinese herbal medicines that captures relationships between drugs, targets and diseases. Database includes chemicals, targets and drug-target networks, and associated drug-target-disease networks, as well as pharmacokinetic properties for natural compounds involving oral bioavailability, drug-likeness, intestinal epithelial permeability, blood-brain-barrier, aqueous solubility.

Proper citation: Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (RRID:SCR_023757) Copy   

•   Source: SciCrunch Registry

http://isyslab.info/NeuroPep/

Comprehensive resource of neuropeptides, which holds non-redundant neuropeptide entries. Data collected from resources including MEDLINE abstracts, full papers, UniProt,database at www.neuropeptides.nl and Neuropedia. Contains detailed annotations for each entry, including source organisms, tissue specificity, families, names, post-translational modifications, 3D structures and literature references. Amino acid compositions, isoelectric points, molecular weight and other physicochemical properties of peptides are also provided. Search database with keywords such as sequence, name, family, etc.,User friendly web tools like browsing, sequence alignment and mapping are also integrated.Users can submit new entries online. Each new entry is validated before incorporating it.

Proper citation: NeuroPep (RRID:SCR_023102) Copy   

•   Source: SciCrunch Registry

https://open.oncobox.com/

Structured curated collection of protein based and of metabolic human molecular pathways. Human molecular pathways database with tools for activity calculating and visualization.All pathways are functionally classified according to GO terms enrichment patterns. All pathway participants, their interactions and reactions are uniformly processed and annotated, and are ready for numeric analysis of experimental expression data.For every comparison graph is generated summarizing top up and down regulated pathways.

Proper citation: OncoboxPD (RRID:SCR_023723) Copy   

•   Source: SciCrunch Registry

http://brassicadb.cn

Database includes newly released genome sequences of Brassiceae species and published genomic data of most other Brassicaceae species.Data can be browsed in JBrowse or searched in BLAST. Offers service of searching for syntenic genes, which are generated based on their syntenic relationships to genes in Arabidopsis thaliana. Regularly updated with newly released reference genomes.

Proper citation: Brassicaceae Database (RRID:SCR_023019) Copy   

•   Source: SciCrunch Registry

https://orthovenn2.bioinfotoolkits.net/home

Web server for whole genome comparison and annotation of orthologous clusters across multiple species.Works on any operating system with modern browser and Javascript enabled. Used to identify orthologous gene clusters and supports user define species to upload customized protein sequences. Interactive graphic tool which provides Venn diagram view for comparing multiple species protein sequences.

Proper citation: OrthoVenn2 (RRID:SCR_022504) Copy   

•   Source: SciCrunch Registry

http://www.csbio.sjtu.edu.cn/bioinf/plant-multi/

Web application for predicting subcellular localization of plant proteins including those with multiple sites.Top Down Strategy to Augment Power for Predicting Plant Protein Subcellular Localization.

Proper citation: Plant mPLoc (RRID:SCR_023014) Copy   

•   Source: SciCrunch Registry

https://awi.cuhk.edu.cn/KinasePhos/download.html

Software tool for redesign and expansion of prediction on kinase specific phosphorylation sites. Machine learning based kinase specific phosphorylation site prediction tool.

Proper citation: KinasePhos 3.0 (RRID:SCR_023595) Copy   

•   Source: SciCrunch Registry

https://ngdc.cncb.ac.cn/databasecommons/

Curated catalog of worldwide biological databases to provide landscape of biological databases throughout the world and enable easy retrieval and access to specific collection of databases of interest. Catalog of worldwide biological databases as well as their curated meta information and derived statistics.

Proper citation: Database Commons (RRID:SCR_023661) Copy   

•   Source: SciCrunch Registry