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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
https://huttenhower.sph.harvard.edu/picrust/
Software for predicting functional abundances based only on marker gene sequences.Used for prediction of metagenome functions. Contains updated and larger database of gene families and reference genomes, provides interoperability with any operational taxonomic unit (OTU)-picking or denoising algorithm, and enables phenotype predictions. Allows addition of custom reference databases.
Proper citation: PICRUSt2 (RRID:SCR_022647) Copy
https://commons.cri.uchicago.edu/pcdc/
PCDC brings together clinical, genomic, and imaging data from institutions around the world to transform pediatric cancer research and outcomes. Headquartered at University of Chicago, PCDC works with international leaders in pediatric cancers and National Cancer Institute to develop and apply uniform data standards that facilitate collection, combination, and analysis of data from many different sources. PCDC Consortium developes common core data dictionary and common governance structure spanning pediatric cancers neuroblastoma, soft tissue sarcoma, acute myeloid leukemia, acute lymphoblastic leukemia, germ cell tumors, bone tumors, and Hodgkin lymphoma to enable innovative cross disease research as well as set standard for future cancer data commons endeavors.
Proper citation: Pediatric Cancer Data Commons (RRID:SCR_022369) Copy
https://open-brain-consent.readthedocs.io/en/stable/
Platform for informing research participants and obtaining consent to share brain imaging data. Provides suggested wording/templates for MRI studies human participant consent forms (including GDPR version), reference of tools for data anonymization, etc to make prospective data sharing possible.
Proper citation: Open Brain Consent (RRID:SCR_022972) Copy
https://labsyspharm.github.io/jekyll-tutorial/
Website tutorial for creating Jekyll-based scientific website, including editing in GitHub, working locally with Jekyll and applying Jekyll and Markdown formatting basics, and using custom themes.
Proper citation: Jekyll Tutorial (RRID:SCR_022859) Copy
https://www.distillersr.com/products/distillersr-systematic-review-software
Literature review software by DistillerSR Inc. Automates management of literature collection, screening, and assessment using AI and intelligent workflows. From systematic literature review to rapid review to living review, makes any project simpler to manage and configure to produce transparent, audit-ready, and compliant results.
Proper citation: DistillerSR (RRID:SCR_023078) Copy
http://naturalscenesdataset.org/
Portal for large scale fMRI dataset conducted at ultra high field strength at Center of Magnetic Resonance Research at University of Minnesota. Dataset consists of whole brain, high resolution fMRI measurements of healthy adult subjects while they viewed thousands of color natural scenes over course of scan sessions. While viewing these images, subjects were engaged in continuous recognition task in which they reported whether they had seen each given image at any point in experiment. These data constitute massive benchmark dataset for computational models of visual representation and cognition, and can support wide range of scientific inquiry.
Proper citation: Natural Scenes Dataset (RRID:SCR_023648) Copy
Open access integrated research platform, which links scientists, shared data, and analysis tools to accelerate Alzheimer’s disease research, disease preventions, treatments and cure. Unites diverse and geographically distributed network of data partners to foster cohort discovery, collaboration and sharing. Researchers can discover clinical, genetic, imaging and other data collected across many independent studies.
Proper citation: Global Alzheimers Association Interaction Network (RRID:SCR_023699) Copy
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
Resource enables integrative exploration of genetic and epigenetic basis of development of Type 2 Diabetes, together with other associated functional, molecular and clinical data, centered in biology and role of pancreatic beta cells.The gene expression regulatory variation landscape of human pancreatic islets.
Proper citation: TIGER Data Portal (RRID:SCR_023626) Copy
https://rth.dk/resources/risearch/
Software tool for prediction of RNA–RNA, RNA–DNA, and DNA–DNA interactions. Both RIsearch1 and RIsearch2 enable quick localisation of potential near complementary interactions between given query and target sequences. RIsearch1 performs computation with whole sequences. RIsearch2 focuses on perfect complementary seed regions and extends them on both ends. User defined seed and extension constraints makes RIsearch2 applicable to all kinds of interaction predictions (e.g., siRNA and Cas9–gRNA off-target predictions).
Proper citation: RIsearch (RRID:SCR_023503) Copy
Portal enables browsing, searching, and analysis of human genetic and genomic information linked to musculoskeletal traits and diseases, while protecting the integrity and confidentiality of underlying data.
Proper citation: Musculoskeletal Knowledge Portal (RRID:SCR_023171) Copy
https://github.com/CompSynBioLab-KoreaUniv/FunGAP
Software tool to predict protein coding genes in fungal genome assembly. Performs gene prediction on given genome assembly and RNA-seq reads. Runs multiple gene predictors, evaluates all predicted genes, and assembles gene models that are highly supported by homology to known sequences.
Proper citation: FunGAP (RRID:SCR_023213) Copy
Clinical research platform and longitudinal observational study for Huntington’s Disease families intended to accelerate progress towards therapeutics. Collaboration between Huntington’s disease families, clinicians, and researchers to accelerate progress toward effective treatments.
Proper citation: Enroll-HD (RRID:SCR_023300) Copy
https://github.com/saeyslab/nichenetr
Software tool as R implementation of NicheNet method to predict active ligand-target links between interacting cells. NicheNet uses human or mouse gene expression data of interacting cells as input and combines this with prior model that integrates existing knowledge on ligand-to-target signaling paths. This allows to predict ligand-receptor interactions that might drive gene expression changes in cells of interest.
Proper citation: NicheNet (RRID:SCR_023158) Copy
https://rostlab.org/owiki/index.php/PROFisis
Software tool that identifies interacting residues from sequence alone. Developed using transient protein�protein interfaces from complexes of experimentally known 3D structures.
Proper citation: PROFisis (RRID:SCR_024179) Copy
Software for managing geochemical data created by individual geochronology laboratory. Designed for flexibility and extensibility, so that it can be tailored to the needs of individual analytical labs that manage wide variety of data. Database set up for metadata tracking.
Proper citation: Sparrow-data (RRID:SCR_024432) Copy
https://cran.r-project.org/web/packages/DrugSim2DR/
Software R package to predict drug functional similarity to drug repurposing.
Proper citation: DrugSim2DR (RRID:SCR_024564) Copy
http://contra.stanford.edu/contrafold/
Software novel secondary structure prediction method based on conditional log-linear models, a flexible class of probabilistic models which generalize upon SCFGs by using discriminative training and feature-rich scoring. Used for sequence prediction.
Proper citation: CONTRAfold (RRID:SCR_023994) Copy
https://github.com/bioinfo-center-pasteur-fr/toppred
Software tool for membrane protein structure prediction.Transmembrane topology prediction.Used for predicting topology of bacterial inner membrane proteins.
Proper citation: toppred (RRID:SCR_024385) Copy
https://github.com/paulgeeleher/pRRophetic
Software R package for prediction of clinical chemotherapeutic response from tumor gene expression levels. Used to predict phenotypes from gene expression microarray data, gene expression microarray data,
Proper citation: pRRophetic (RRID:SCR_024417) Copy
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