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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://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

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

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

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

https://cgmaptools.github.io

Software package for DNA methylation analysis. Used for context-wise, gene-wise, bin-wise, region-wise and sample-wise analysis and visualizations. Used to improve precision of heterozygous SNV calls and supports allele-specific methylation detection and visualization in bisulfite-sequencing data.

Proper citation: cgmapotools (RRID:SCR_020950) Copy   

•   Source: SciCrunch Registry

https://yanglab.nankai.edu.cn/trRosetta/

Software tool for fast and accurate protein structure prediction. Builds protein structure based on direct energy minimizations with restrained Rosetta. Restraints include inter-residue distance and orientation distributions, predicted by deep residual neural network. Homologous templates are included in network prediction to improve accuracy for easy targets.

Proper citation: trRosetta (RRID:SCR_021181) Copy   

•   Source: SciCrunch Registry

https://github.com/bioinfo-biols/CIRIquant

Software Python package for accurate circRNA quantification and differential expression analysis. Comprehensive analysis pipeline for circRNA detection and quantification in RNA-Seq data. Accurate quantification of circular RNAs identifies extensive circular isoform switching events.

Proper citation: CIRIquant (RRID:SCR_021661) Copy   

•   Source: SciCrunch Registry

http://cns.hkbu.edu.hk/RIDE.htm

Software Matlab based toolbox for temporal decomposition of EEG signal. Used for decomposition, reconstruction, and single trial analysis of event related potentials.

Proper citation: Residue Iteration Decomposition (RRID:SCR_022174) Copy   

•   Source: SciCrunch Registry

https://github.com/Kinggerm/GetOrganelle

Software toolkit to assembly of organelle genome from genomic skimming data. Used for accurate de novo assembly of organelle genomes.

Proper citation: GetOrganelle (RRID:SCR_022963) Copy   

•   Source: SciCrunch Registry

http://fcon_1000.projects.nitrc.org/indi/pro/BeijingShortTR.html

Dataset of resting state fMRI scans obtained using two different TR's in healthy college-aged volunteers. Specifically, for each participant, data is being obtained with a short TR (0.4 seconds) and a long TR (2.0 seconds). In addition this dataset contains a 64-direction DTI scan for every participant. The following data are released for every participant: * 8-minute resting-state fMRI scan (TR = 2 seconds, # repetitions = 240) * 8-minute resting-state fMRI scans (TR = 0.4 seconds, # repetitions = 1200) * MPRAGE anatomical scan, defaced to protect patient confidentiality * 64-direction diffusion tensor imaging scan (2mm isotropic) * Demographic information

Proper citation: Beijing: Short TR Study (RRID:SCR_003502) Copy   

•   Source: SciCrunch Registry

https://github.com/PaulingLiu/scibet

Software tool as supervised cell type identifier that accurately predicts cell identity for newly sequenced single cells.

Proper citation: SciBet (RRID:SCR_024743) Copy   

•   Source: SciCrunch Registry

http://mlodis.phasep.pro/

Manually curated database of relations between phase separation and diseases.

Proper citation: PhaSeDis (RRID:SCR_024963) Copy   

•   Source: SciCrunch Registry

http://db.phasep.pro/

Provides a collection of manually curated phase separation (PS) proteins and Membraneless organelles (MLOs) related proteins. Annotated phase separation-related proteins with droplet states, co-phase separation partners and other experimental information.

Proper citation: PhaSepDB (RRID:SCR_024964) Copy   

•   Source: SciCrunch Registry

https://rps.renlab.org/#/Home

Comprehensive database of RNAs involved in liquid-liquid phase separation.

Proper citation: RPS (RRID:SCR_024960) Copy   

•   Source: SciCrunch Registry

http://liweilab.genetics.ac.cn/tm/

Web-based tool used to mine human protein-protein interactions (PPIs) from PubMed abstracts based on their co-occurrences and interaction words, followed by evidencs in human PPI databases and shared terms in GO database.

Proper citation: Human Protein-Protein Interaction Mining Tool (RRID:SCR_008040) Copy   

•   Source: SciCrunch Registry