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http://wego.genomics.org.cn/cgi-bin/wego/index.pl

Web Gene Ontology Annotation Plot (WEGO) is a simple but useful tool for plotting Gene Ontology (GO) annotation results. Different from other commercial software for chart creating, WEGO is designed to deal with the directed acyclic graph (DAG) structure of GO to facilitate histogram creation of GO annotation results. WEGO has been widely used in many important biological research projects, such as the rice genome project and the silkworm genome project. It has become one of the useful tools for downstream gene annotation analysis, especially when performing comparative genomics tasks. Platform: Online tool

Proper citation: WEGO - Web Gene Ontology Annotation Plot (RRID:SCR_005827) Copy   

•   Source: SciCrunch Registry

http://fcon_1000.projects.nitrc.org/indi/retro/BeijingEOEC.html

Data set of 48 healthy controls from a community (student) sample from Beijing Normal University in China with 3 resting state fMRI scans each. During the first scan participants were instructed to rest with their eyes closed. The second and third resting state scan were randomized between resting with eyes open versus eyes closed. In addition this dataset contains a 64-direction DTI scan for every participant. The following data are released for every participant: * 6-minute resting state fMRI scan (R-fMRI) * MPRAGE anatomical scan, defaced to protect patient confidentiality * 64-direction diffusion tensor imaging scan (2mm isotropic) * Demographic information and information on the counterbalancing of eyes open versus eyes closed.

Proper citation: Beijing: Eyes Open Eyes Closed Study (RRID:SCR_001507) Copy   

•   Source: SciCrunch Registry

http://datf.cbi.pku.edu.cn/

Database that collects all arabidopsis transcription factors (totally 1922 Loci; 2290 Gene Models) and classifies them into 64 families. It uses not only locus (gene), but also gene model (transcript, protein) and the detail information is for each gene model not for locus. It adds multiple alignment of the DNA-binding domain of each family, Neighbor-Joining phylogenetic tree of each family, the GO annotation, homolog with the Database of Rice Transcription Factors (DRTF). It also keeps old information items such as the unique cloned and sequenced information of about 1200 transcription factors, protein domains, 3D structure information with BLAST hits against PDB, predicted Nuclear Location Signals, UniGene information, as well as links to literature reference.

Proper citation: Database of Arabidopsis Transcription Factors (RRID:SCR_007101) Copy   

•   Source: SciCrunch Registry

http://www.immunoinformatics.net/HLAsupE/

Database of HLA supertype-specific epitopes. It describes major histocompatibility complex (MHC) molecules that bind short peptides derived from endogenous or exogenous antigens and present them onto the surface of antigen-presenting cells (APCs) for T-cell receptor (TCR) recognition.

Proper citation: HLAsupE (RRID:SCR_016277) Copy   

•   Source: SciCrunch Registry

http://bio-bigdata.hrbmu.edu.cn/lnc2cancer/

Manually curated database of experimentally supported lncRNAs associated with various human cancers. Cancer long non coding RNA database. Lnc2Cancer 3.0 is updated resource for experimentally supported lncRNA/circRNA cancer associations and web tools based on RNA-seq and scRNA-seq data.

Proper citation: lnc2cancer (RRID:SCR_023781) Copy   

•   Source: SciCrunch Registry

http://predict.phasep.pro/

Web server as meta-predictor for phase-separating proteins. Displays proteome-level quantiles of different features, thus profiling PS propensity and providing crucial information for identification of candidate proteins.

Proper citation: PhaSePred (RRID:SCR_024969) Copy   

•   Source: SciCrunch Registry

http://hdock.phys.hust.edu.cn/

Web server for protein-protein and protein-DNA/RNA docking based on hybrid strategy. With input information for receptor and ligand molecules either amino acid sequences or Protein Data Bank structures, the server automatically predicts their interaction through hybrid algorithm of template-based and template-free docking.

Proper citation: HDOCK server (RRID:SCR_024799) Copy   

•   Source: SciCrunch Registry

https://github.com/xiaochuanle/NECAT

Software error correction and de-novo assembly tool for Nanopore long noisy reads. Nanopore data assembler.

Proper citation: NECAT (RRID:SCR_025350) Copy   

•   Source: SciCrunch Registry

https://www.uii-ai.com/research.html

AI-powered integrated research platform for one-stop analysis of medical images. Provides advanced functionality such as automatic segmentation, registration, and classification for variety of application domains. Has major merits including Advanced built-in algorithms applicable to multiple imaging modalities (i.e., CT, MR, PET, DR), diseases (i.e., tumor, neurodegenerative disease, pneumonia), and applications (i.e., diagnosis, treatment planning, follow-up); Iterative deep learning-based training strategy for fast delineation of ROIs of large-scale datasets, thereby saving clinicians' time and obtaining novel and more robust models; Modular architecture with customization and extensibility, where plugins can be designed for specific purposes.

Proper citation: uAI Research Portal (RRID:SCR_025870) Copy   

•   Source: SciCrunch Registry

https://cadd.labshare.cn/cb-dock2/php/index.php

Web server for protein-ligand blind docking, integrating cavity detection, docking and homologous template fitting. Given the three-dimensional structure of protein and ligand, can predict their binding sites and affinity for computer-aided drug discovery.

Proper citation: CB-dock2 (RRID:SCR_026134) Copy   

•   Source: SciCrunch Registry

https://github.com/PaulingLiu/ROGUE

Software tool as entropy-based metric for assessing purity of single cell populations. Used to accurately quantify purity of identified cell clusters.

Proper citation: ROGUE (RRID:SCR_026568) Copy   

•   Source: SciCrunch Registry