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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.
Database on transcriptional regulation in Escherichia coli K-12 containing knowledge manually curated from original scientific publications, complemented with high throughput datasets and comprehensive computational predictions. Graphic and text-integrated environment with friendly navigation where regulatory information is always at hand. They provide integrated views to understand as well as organized knowledge in computable form. Users may submit data to make it publicly available.
Proper citation: RegulonDB (RRID:SCR_003499) Copy
https://www2.mrc-lmb.cam.ac.uk/groups/murshudov/content/balbes/balbes_layout.html
Software system for solving protein structures using x-ray crystallographic data. Automatic molecular replacement pipeline for molecular replacement in CCP4. Integrates into one system all components necessary for solving crystal structure by Molecular Replacement. System is automated so that it needs no user intervention when running combination of jobs such as model searching, molecular replacement and refinement.
Proper citation: BALBES (RRID:SCR_018763) Copy
https://github.com/RabadanLab/arcasHLA
Software tool for high resolution HLA typing from RNAseq. Fast and accurate in silico inference of HLA genotypes from RNA-seq.
Proper citation: arcasHLA (RRID:SCR_022286) Copy
https://www.utsouthwestern.edu/labs/danuser/software/
Software package as quantitative image analysis software for measurement of microtubule dynamics. MATLAB software for tracking full dynamics of microtubules based on plusTIP marker live cell image sequences.
Proper citation: plusTipTracker (RRID:SCR_021890) Copy
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
http://www.zfishbook.org/NGP/journalcontent/SCORE/SCORE.html
Narrative resource describing a visual data analysis and collection approach that takes advantage of the cylindrical nature of the zebrafish allowing for an efficient and effective method for image capture called, Specimen in a Corrected Optical Rotational Enclosure (SCORE) Imaging. To achieve a non-distorted image, zebrafish were placed in a fluorinated ethylene propylene (FEP) tube with a surrounding, optically corrected imaging solution: water. By similarly matching the refractive index of the housing (FEP tubing) to that of the inner liquid and outer liquid (water), distortion was markedly reduced, producing a crisp imagable specimen that is able to be fully rotated 360 degrees. A similar procedure was established for fixed zebrafish embryos using convenient, readily available borosilicate capillaries surrounded by 75% glycerol. The method described could be applied to chemical genetic screening and other, related high-throughput methods within the fish community and among other scientific fields.
Proper citation: Zebrafish - SCORE Imaging: Specimen in a Corrected Optical Rotational Enclosure (RRID:SCR_001300) Copy
http://integrativemodeling.org/
An open source C++ and Python toolbox for solving complex modeling problems, and a number of applications for tackling some common problems in a user-friendly way. Its broad goal is to contribute to a comprehensive structural characterization of biomolecules ranging in size and complexity from small peptides to large macromolecular assemblies, by integrating data from diverse biochemical and biophysical experiments. It can also be used from the Chimera molecular modeling system, or via one of several web applications.
Proper citation: Integrative Modeling Platform (RRID:SCR_002982) Copy
http://publications.nigms.nih.gov/computinglife/
An NIGMS magazine that showcases the exciting ways that scientists are using the power of computers to expand our knowledge of biology and medicine. From text messaging friends to navigating city streets with GPS technology, we''re all living the computing life. But as we''ve upgraded from snail mail and compasses, so too have scientists. Computer advances now let researchers quickly search through DNA sequences to find gene variations that could lead to disease, simulate how flu might spread through your school and design three-dimensional animations of molecules that rival any video game. By teaming computers and biology, scientists can answer new and old questions that could offer insights into the fundamental processes that keep us alive and make us sick. This booklet introduces you to just some of the ways that physicists, biologists and even artists are computing life. Each section focuses on a different research problem, offers examples of current scientific projects and acquaints you with the people conducting the work. You can follow the links for online extras and other opportunities to learn aboutand get involved inthis exciting new interdisciplinary field.
Proper citation: NIGMS Computing Life (RRID:SCR_005850) Copy
http://www.stat.washington.edu/thompson/Genepi/MORGAN/Morgan.shtml
Software programs for segregation and linkage analysis, using a variety of Markov chain Monte Carlo (MCMC) methods. Includes MCMC methods for multilocus gene identity by descent (including homozygosity mapping) and Monte Carlo Lod scores. Also, other programs for EM analysis of quantitative traits.
Proper citation: MORGAN (RRID:SCR_006906) Copy
https://github.com/bioinform/somaticseq
Software accurate somatic mutation detection pipeline implementing stochastic boosting algorithm to produce somatic mutation calls for both single nucleotide variants and small insertions and deletions. NGS variant calling and classification.
Proper citation: SomaticSeq (RRID:SCR_024891) Copy
Web biological metadata server to view, store, and share your sample metadata in form of Portable Encapsulated Projects. PEPhub takes advantage of PEP biological metadata standard to store, edit, and access your PEPs in one place. Components include database where PEPs are stored; API to programmatically read and write PEPs in database; web based user interface to view and manage these PEPs via front end.
Proper citation: PEPhub (RRID:SCR_024892) Copy
Web and command-line application to identify proteins with prion-like amino acid composition. Searches protein sequences to identify probable prion subsequences using hidden-Markov model algorithm.
Proper citation: PLAAC (RRID:SCR_024973) Copy
https://github.com/xinhe-lab/GSFA
Software R package that performs sparse factor analysis and differential gene expression discovery simultaneously on single cell CRISPR screening data.
Proper citation: Guided Sparse Factor Analysis (RRID:SCR_025023) Copy
Software tool for analysis of non-covalent interactions in molecular dynamics trajectories. Implemented in Python and is universally applicable to any kind of MD trajectory supported by MDAnalysis package.
Proper citation: PyContact (RRID:SCR_025066) Copy
Open access knowledge base for microbial natural products discovery. Database of microbially derived natural product structures. Provides coverage of bacterial and fungal natural products to visualize chemical diversity. Includes compounds and contains referenced data for structure, compound names, source organisms, isolation references, total syntheses, and instances of structural reassignment. Interactive web portal permits searching by structure, substructure, and physical properties. Provides mechanisms for visualizing natural products chemical space and dashboards for displaying author and discovery timeline data. Atlas has been developed under FAIR principles.
Proper citation: Natural Products Atlas (RRID:SCR_025107) Copy
https://compbio.uth.edu/FusionGDB2/
Functional annotation database of human fusion genes.FusionGDB 2.0 has updates of contents such as up-to-date human fusion genes, fusion gene breakage tendency score with FusionAI deep learning model based on 20 kb DNA sequence around BP, investigation of overlapping between fusion breakpoints with human genomic features across cellular role's categories, transcribed chimeric sequence and following open reading frame analysis with coding potential based on deep learning approach with Ribo-seq read features, and rigorous investigation of protein feature retention of individual fusion partner genes in protein level.
Proper citation: FusionGDB2 (RRID:SCR_025299) Copy
https://github.com/compbiolabucf/PTNet
Graph based learning model for protein expression estimation by considering miRNA-mRNA interactions. Estimates protein levels by considering miRNA-mRNA interaction network, mRNA expression and miRNA expression.
Proper citation: PTNet (RRID:SCR_022975) Copy
https://github.com/protofilamentdude/Protofilament-Bending-Models
Code is written to be run with Matlab version r2020b or higher. Model accepts wave assay pulse amplitude data, and simultaneously solves and fits protofilament deflection models to deduce fundamental biophysical properties of microtubule protofilaments.
Proper citation: Protofilament Bending Models (RRID:SCR_023062) Copy
https://github.com/caraweisman/abSENSE
Software to interpret undetected homolog.Method that calculates probability that homolog of given gene would fail to be detected by homology search in given species, even if homolog were present and evolving normally.
Proper citation: abSENSE (RRID:SCR_023223) Copy
https://med.unr.edu/research/core-facilities-centers/high-spatial-temporal-resolution-imaging-core
Core provides high spatial and temporal resolution imaging methodologies and instrumentation for studying cellular structure, signaling pathways, and function in health and disease. Offers education, training and expertise in advising investigators in the use of the new technologies.
Proper citation: University of Nevada Reno School of Medicine High Spatial and Temporal Resolution Imaging Core Facility (RRID:SCR_024793) Copy
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