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http://huanglab.phys.hust.edu.cn/hpepdock/

Web server for blind peptide protein docking based on hierarchical algorithm. Blind peptide-protein docking by fast modeling of peptide conformations and global sampling of binding orientations.

Proper citation: HPEPDOCK Server (RRID:SCR_018561) Copy   

•   Source: SciCrunch Registry

http://hapmap.ncbi.nlm.nih.gov/

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. A multi-country collaboration among scientists and funding agencies to develop a public resource where genetic similarities and differences in human beings are identified and catalogued. Using this information, researchers will be able to find genes that affect health, disease, and individual responses to medications and environmental factors. All of the information generated by the Project will be released into the public domain. Their goal is to compare the genetic sequences of different individuals to identify chromosomal regions where genetic variants are shared. Public and private organizations in six countries are participating in the International HapMap Project. Data generated by the Project can be downloaded with minimal constraints. HapMap project related data, software, and documentation include: bulk data on genotypes, frequencies, LD data, phasing data, allocated SNPs, recombination rates and hotspots, SNP assays, Perlegen amplicons, raw data, inferred genotypes, and mitochondrial and chrY haplogroups; Generic Genome Browser software; protocols and information on assay design, genotyping and other protocols used in the project; and documentation of samples/individuals and the XML format used in the project.

Proper citation: International HapMap Project (RRID:SCR_002846) 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://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://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