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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.

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  • RRID:SCR_017127

    This resource has 100+ mentions.

http://bioconductor.org/packages/CATALYST/

Software R package to provide pipeline for preprocessing of cytometry data, including normalization using bead standards, single cell deconvolution, and bead based compensation.

Proper citation: CATALYST (RRID:SCR_017127) Copy   


  • RRID:SCR_017016

    This resource has 100+ mentions.

https://github.com/fenderglass/Flye

Software package as de novo assembler for single molecule sequencing reads. Used for assembling long, error prone reads such as those produced by PacBio and Oxford Nanopore Technologies, for fast and accurate genome reconstructions. Available for Linux and MacOS platforms.

Proper citation: Flye (RRID:SCR_017016) Copy   


  • RRID:SCR_017133

    This resource has 500+ mentions.

Issue

https://biit.cs.ut.ee/clustvis/

Web user interface for visualizing clustering of multivariate data. Web server allows users to upload their own data and create Principal Component Analysis plots and heatmaps.

Proper citation: ClustVis (RRID:SCR_017133) Copy   


https://github.com/anwarMZ/CoMW

Software tool for standardized and validated workflow to functionally classify quality filtered mRNA reads from metatranscriptomic or total RNA studies generated using NGS short reads. Used for classification of these reads using assembled contigs to reference databases.

Proper citation: Comparative Metatranscriptomics Workflow (RRID:SCR_017109) Copy   


  • RRID:SCR_017201

    This resource has 1+ mentions.

https://github.com/greenhouselab/Veta

Software suite of functions for EMG data visualization and processing. Open source Matlab toolbox for electromyography combined with transcranial magnetic stimulation. MATLAB toolbox for the collection, analysis, and visualization of EMG and TMS.

Proper citation: VETA (RRID:SCR_017201) Copy   


  • RRID:SCR_017059

    This resource has 1+ mentions.

https://github.com/dodomorandi/hatspil

Software Python tool for high throughput sequencing analysis, focused on high reliability, modularity and customisability.

Proper citation: HaTSPiL (RRID:SCR_017059) Copy   


  • RRID:SCR_017032

    This resource has 1+ mentions.

https://github.com/g2-bernotas/PS-Plant-Framework

Software tool as end to end software for data acquisition, processing, and result extraction of Arabidopsis thaliana growth. Framework uses photometric stereo based 3D imaging system with computer vision and deep learning for tracking and quantifying both plant growth and movement parameters.

Proper citation: PS-Plant Framework (RRID:SCR_017032) Copy   


  • RRID:SCR_017253

    This resource has 10+ mentions.

http://rtools.cbrc.jp/centroidfold/

Web server for RNA secondary structure prediction. Predicts RNA secondary structure from RNA sequence. Based on generalized centroid estimator.

Proper citation: CentroidFold (RRID:SCR_017253) Copy   


  • RRID:SCR_017228

    This resource has 100+ mentions.

http://wasabiapp.org/software/prank/

Software application as probabilistic multiple alignment program for DNA, codon and amino-acid sequences. Allows for defining potential structure for sequences to be aligned and then, simultaneously with the alignment, predicts the locations of structural units in the sequences.

Proper citation: prank (RRID:SCR_017228) Copy   


  • RRID:SCR_007973

    This resource has 100+ mentions.

http://enhancer.lbl.gov/

Resource for experimentally validated human and mouse noncoding fragments with gene enhancer activity as assessed in transgenic mice. Most of these noncoding elements were selected for testing based on their extreme conservation in other vertebrates or epigenomic evidence (ChIP-Seq) of putative enhancer marks. Central public database of experimentally validated human and mouse noncoding fragments with gene enhancer activity as assessed in transgenic mice. Users can retrieve elements near single genes of interest, search for enhancers that target reporter gene expression to particular tissue, or download entire collections of enhancers with defined tissue specificity or conservation depth.

Proper citation: VISTA Enhancer Browser (RRID:SCR_007973) Copy   


  • RRID:SCR_008132

    This resource has 100+ mentions.

https://www.ncbi.nlm.nih.gov/genbank/dbest/

Database as a division of GenBank that contains sequence data and other information on single-pass cDNA sequences, or Expressed Sequence Tags, from a number of organisms.

Proper citation: dbEST (RRID:SCR_008132) Copy   


  • RRID:SCR_007959

    This resource has 100+ mentions.

http://t1dbase.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 26,2019. In October 2016, T1DBase has merged with its sister site ImmunoBase (https://immunobase.org). Documented on March 2020, ImmunoBase ownership has been transferred to Open Targets (https://www.opentargets.org). Results for all studies can be explored using Open Targets Genetics (https://genetics.opentargets.org). Database focused on genetics and genomics of type 1 diabetes susceptibility providing a curated and integrated set of datasets and tools, across multiple species, to support and promote research in this area. The current data scope includes annotated genomic sequences for suspected T1D susceptibility regions; genetic data; microarray data; and global datasets, generally from the literature, that are useful for genetics and systems biology studies. The site also includes software tools for analyzing the data.

Proper citation: T1DBase (RRID:SCR_007959) Copy   


  • RRID:SCR_008104

    This resource has 10+ mentions.

http://www.baderlab.org/Software/ActiveDriver

A statistical method for interpreting variations in protein sequence (e.g. coding SNPs in the population, SNVs in cancer genomes) in the context of protein post-translational signaling modifications.

Proper citation: ActiveDriver (RRID:SCR_008104) Copy   


http://griffin.cbrc.jp/

Griffin (G-protein-receptor interacting feature finding instrument) is a high-throughput system to predict GPCR - G-protein coupling selectively with the input of GPCR sequence and ligand molecular weight. This system consists of two parts: 1) HMM section using family specific multiple alignment of GPCRs, 2) SVM section using physico-chemical feature vectors in GPCR sequence. G-protein coupled receptors (GPCR), which is composed of seven transmembrane helices, play a role as interface of signal transduction. The external stimulation for GPCR, induce the coupling with G-protein (Gi/o, Gq/11, Gs, G12/13) followed by different kinds of signal transduction to inner cell. About half of distributed drugs are intending to control this GPCR - G-protein binding system, and therefore this system is important research target for the development of effective drug. For this purpose, it is necessary to monitor, effectively and comprehensively, of the activation of G-protein by identifying ligand combined with GPCR. Since, at present, it is difficult to construct such biochemical experiment system, if the answers for experimental results can be prepared beforehand by using bioinformatics techniques, large progress is brought to G-protein related drug design. Previous works for predicting GPCR-G protein coupling selectivity are using sequence pattern search, statistical models, and HMM representations showed high sensitivity of predictions. However, there are still no works that can predict with both high sensitivity and specificity. In this work we extracted comprehensively the physico-chemical parameters of each part of ligand, GPCR and G-protein, and choose the parameters which have strong correlation with the coupling selectivity of G-protein. These parameters were put as a feature vector, used for GPCR classification based on SVM.

Proper citation: G protein receptor interaction feature finding instrument (RRID:SCR_008343) Copy   


  • RRID:SCR_017356

    This resource has 50+ mentions.

https://mpd.bioinf.uni-sb.de/

Collection of single miRNAs that regulate pathways, gene ontologies and other categories, hence complementing available miRNA target enrichment programs, tailored for miRNA sets. New dictionary on microRNAs and target pathways. Database to augment available target pathway web-servers by providing researches access to information which pathways are regulated by miRNA, which miRNAs target pathway and how specific regulations are.

Proper citation: miRpathDB (RRID:SCR_017356) Copy   


  • RRID:SCR_017286

    This resource has 1+ mentions.

https://github.com/BackofenLab/GraphClust-2

Software tool for scalable clustering of RNAs based on sequence and secondary structures similarities. Implemented within Galaxy framework. Used for studying RNA function.

Proper citation: GraphClust2 (RRID:SCR_017286) Copy   


  • RRID:SCR_017331

    This resource has 10+ mentions.

https://github.com/BioInf-Wuerzburg/proovread

Software tool for PacBio hybrid error correction through iterative short read consensus.

Proper citation: Proovread (RRID:SCR_017331) Copy   


https://www.ebi.ac.uk/eva/

Open access database of all types of genetic variation data from all species. Users can download data from any study, or submit their own data to archive. You can also query all variants by study, gene, chromosomal location or dbSNP identifier using our Variant Browser.

Proper citation: European Variation Archive (EVA) (RRID:SCR_017425) Copy   


  • RRID:SCR_017394

    This resource has 1+ mentions.

https://github.com/galaxyproject/tools-iuc/tree/master/tools/scater

Software tool as Galaxy based training resource for single cell RNA-seq quality control and analyses.

Proper citation: Galaxy scater (RRID:SCR_017394) Copy   


https://www.synapse.org/#!Synapse:syn11459638

Dockerized environment for winning algorithm in 2017 Multiple Myeloma DREAM Challenge, Sub-Challenge 3.

Proper citation: Multiple Myeloma survival predictor (RRID:SCR_017651) Copy   



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