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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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On page 2 showing 21 ~ 40 out of 97 results
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http://m6asnp.renlab.org

Web server implemented in JAVA and PHP for annotating genetic variants by m6A function. It predicts and annotates N6-methyladenosine (m6A) alterations from genetic variants data such as germline SNPs or cancer somatic mutations. It employs two accurate prediction models for human and mouse using Random Forest algorithm. It conducts a statistical analysis for all the predicted m6A alterations. Provides statistical diagrams and a genome browser to visualize the topology characteristics of predicted m6A alterations.

Proper citation: m6ASNP: Annotation of genetic variants by m6A function (RRID:SCR_016048) Copy   


  • RRID:SCR_016884

    This resource has 10000+ mentions.

http://bioconductor.org/packages/release/bioc/html/clusterProfiler.html

Software R package for statistical analysis and visualization of functional profiles for genes and gene clusters.

Proper citation: clusterProfiler (RRID:SCR_016884) Copy   


http://www.restfmri.net

A user-friendly convenient toolkit to calculate Functional Connectivity (FC), Regional Homogeneity (ReHo), Amplitude of Low-Frequency Fluctuation (ALFF), Fractional ALFF (fALFF), Gragner causality and perform statistical analysis. You also can use REST to view your data, perform Monte Carlo simulation similar to AlphaSim in AFNI, calculate your images, regress out covariates, extract Region of Interest (ROI) time courses, reslice images, and sort DICOM files.

Proper citation: REST: a toolkit for resting-state fMRI (RRID:SCR_009641) Copy   


  • RRID:SCR_022504

    This resource has 100+ mentions.

https://orthovenn2.bioinfotoolkits.net/home

Web server for whole genome comparison and annotation of orthologous clusters across multiple species.Works on any operating system with modern browser and Javascript enabled. Used to identify orthologous gene clusters and supports user define species to upload customized protein sequences. Interactive graphic tool which provides Venn diagram view for comparing multiple species protein sequences.

Proper citation: OrthoVenn2 (RRID:SCR_022504) Copy   


  • RRID:SCR_023014

    This resource has 100+ mentions.

http://www.csbio.sjtu.edu.cn/bioinf/plant-multi/

Web application for predicting subcellular localization of plant proteins including those with multiple sites.Top Down Strategy to Augment Power for Predicting Plant Protein Subcellular Localization.

Proper citation: Plant mPLoc (RRID:SCR_023014) Copy   


  • RRID:SCR_023595

    This resource has 1+ mentions.

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   


  • RRID:SCR_023661

    This resource has 10+ mentions.

https://ngdc.cncb.ac.cn/databasecommons/

Curated catalog of worldwide biological databases to provide landscape of biological databases throughout the world and enable easy retrieval and access to specific collection of databases of interest. Catalog of worldwide biological databases as well as their curated meta information and derived statistics.

Proper citation: Database Commons (RRID:SCR_023661) Copy   


  • RRID:SCR_015778

    This resource has 10+ mentions.

https://funricegenes.github.io/

Dataset of functionally characterized rice genes and members of different gene families. The dataset was created by integrating data from available databases and reviewing publications of rice functional genomic studies.

Proper citation: funRiceGenes (RRID:SCR_015778) Copy   


  • RRID:SCR_021181

    This resource has 50+ mentions.

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   


  • RRID:SCR_021661

    This resource has 1+ mentions.

https://github.com/bioinfo-biols/CIRIquant

Software Python package for accurate circRNA quantification and differential expression analysis. Comprehensive analysis pipeline for circRNA detection and quantification in RNA-Seq data. Accurate quantification of circular RNAs identifies extensive circular isoform switching events.

Proper citation: CIRIquant (RRID:SCR_021661) Copy   


  • RRID:SCR_021664

    This resource has 10+ mentions.

https://circexplorer2.readthedocs.io/en/latest/

Software package for comprehensive and integrative circular RNA analysis. It is the successor of CIRCexplorer with plenty of new features to facilitate circular RNA identification and characterization. Used to annotate circRNAs, de novo assemble novel circular RNA transcripts and chracterize various of alternative (back-)splicing events of circular RNAs.

Proper citation: CIRCexplorer2 (RRID:SCR_021664) Copy   


  • RRID:SCR_022092

    This resource has 10+ mentions.

http://bioinfo.jialab-ucr.org/CancerMIRNome/

Web server for cancer miRNome interactive analysis and visualization based on human miRNome data of cancer types from The Cancer Genome Atlas, and public cancer circulating miRNome profiling datasets from NCBI Gene Expression Omnibus and ArrayExpress. Comprehensive database for interactive analysis and visualization of miRNA expression profiles.

Proper citation: CancerMIRNome (RRID:SCR_022092) Copy   


http://omicslab.genetics.ac.cn/GOEAST/

Gene Ontology Enrichment Analysis Software Toolkit (GOEAST) is a web based software toolkit providing easy to use, visualizable, comprehensive and unbiased Gene Ontology (GO) analysis for high-throughput experimental results, especially for results from microarray hybridization experiments. The main function of GOEAST is to identify significantly enriched GO terms among give lists of genes using accurate statistical methods. Compared with available GO analysis tools, GOEAST has the following unique features: * GOEAST supports analysis for data from various resources, such as expression data obtained using Affymetrix, illumina, Agilent or customized microarray platforms. GOEAST also supports non-microarray based experimental data. The web-based feature makes GOEAST very user friendly; users only have to provide a list of genes in correct formats. * GOEAST provides visualizable analysis results, by generating graphs exhibiting enriched GO terms as well as their relationships in the whole GO hierarchy. * Note that GOEAST generates separate graph for each of the three GO categories, namely biological process, molecular function and cellular component. * GOEAST allows comparison of results from multiple experiments (see Multi-GOEAST tool). The displayed color of each GO term node in graphs generated by Multi-GOEAST is the combination of different colors used in individual GOEAST analysis. Platform: Online tool

Proper citation: GOEAST - Gene Ontology Enrichment Analysis Software Toolkit (RRID:SCR_006580) Copy   


http://gepia.cancer-pku.cn

Web server for cancer and normal gene expression profiling and interactive analyses. Interactive web server for analyzing RNA sequencing expression data of tumors and normal samples from TCGA and GTEx projects, using standard processing pipeline. Provides customizable functions such as tumor or normal differential expression analysis, profiling according to cancer types or pathological stages, patient survival analysis, similar gene detection, correlation analysis and dimensionality reduction analysis.

Proper citation: Gene Expression Profiling Interactive Analysis (RRID:SCR_018294) Copy   


  • RRID:SCR_018261

    This resource has 1+ mentions.

http://sumosp.biocuckoo.org.

Web service for prediction of SUMOylation sites and SUMO-interaction motifs in proteins by CUCKOO Workgroup.

Proper citation: GPS-SUMO (RRID:SCR_018261) Copy   


  • RRID:SCR_018737

    This resource has 1000+ mentions.

https://cistrome.shinyapps.io/timer/

Web server for comprehensive analysis of tumor infiltrating immune cells. Web tool for systematical analysis of immune infiltrates across diverse cancer types. Allows users to input function specific parameters, with resulting figures dynamically displayed to access tumor immunological, clinical, and genomic features.

Proper citation: TIMER (RRID:SCR_018737) Copy   


  • RRID:SCR_020950

    This resource has 1+ mentions.

https://cgmaptools.github.io

Software package for DNA methylation analysis. Used for context-wise, gene-wise, bin-wise, region-wise and sample-wise analysis and visualizations. Used to improve precision of heterozygous SNV calls and supports allele-specific methylation detection and visualization in bisulfite-sequencing data.

Proper citation: cgmapotools (RRID:SCR_020950) Copy   


  • RRID:SCR_017038

    This resource has 10+ mentions.

https://github.com/macmanes-lab/BinPacker/blob/master/README

Software tool as de novo trascriptome assembler for RNA-Seq data. Used to assemble full length transcripts by remodeling problem as tracking set of trajectories of items over splicing graph. Input RNA-Seq reads in fasta or fastq format, and ouput all assembled candidate transcripts in fasta format. Operating system Unix/Linux.

Proper citation: BinPacker (RRID:SCR_017038) Copy   


  • RRID:SCR_018177

    This resource has 1+ mentions.

https://github.com/esctrionsit/snphub

Web Shiny-based server framework for retrieving, analyzing and visualizing large genomic variations data.

Proper citation: SnpHub (RRID:SCR_018177) Copy   


http://liweilab.genetics.ac.cn/tm/

Web-based tool used to mine human protein-protein interactions (PPIs) from PubMed abstracts based on their co-occurrences and interaction words, followed by evidencs in human PPI databases and shared terms in GO database.

Proper citation: Human Protein-Protein Interaction Mining Tool (RRID:SCR_008040) Copy   



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