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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 122 showing 2421 ~ 2440 out of 2,818 results
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  • RRID:SCR_010878

    This resource has 1+ mentions.

http://cmotifs.tchlab.org/

Data analysis service providing a motif discovery platform developed to help biologists to find novel as well as known motifs in their peak datasets from transcription factor (TF) binding experiments such as ChIP-seq and ChIP-chip.

Proper citation: CompleteMOTIFs (RRID:SCR_010878) Copy   


  • RRID:SCR_011818

    This resource has 1000+ mentions.

http://tcoffee.crg.cat/apps/tcoffee/do:regular

A multiple sequence alignment server which can align Protein, DNA and RNA sequences.

Proper citation: T-Coffee (RRID:SCR_011818) Copy   


  • RRID:SCR_011933

    This resource has 10+ mentions.

http://www.cbs.dtu.dk/services/HMMgene/

Data analysis service for prediction of vertebrate and C. elegans genes.

Proper citation: HMMgene (RRID:SCR_011933) Copy   


  • RRID:SCR_011813

    This resource has 100+ mentions.

http://probcons.stanford.edu/

Efficient protein multiple sequence alignment program, which has demonstrated a statistically significant improvement in accuracy compared to several leading alignment tools.

Proper citation: ProbCons (RRID:SCR_011813) Copy   


  • RRID:SCR_012117

    This resource has 100+ mentions.

http://genevenn.sourceforge.net/

A web application creating Venn diagrams from two or three gene lists.

Proper citation: GeneVenn (RRID:SCR_012117) Copy   


  • RRID:SCR_012755

http://blog.openhelix.eu/

Blog where you will find a genomics resources news portal with daily postings about genomics resources, genomics news and research, science and more.

Proper citation: OpenHelix Blog (RRID:SCR_012755) Copy   


  • RRID:SCR_012876

    This resource has 1+ mentions.

http://www.r-bloggers.com/

A central hub of content collected from bloggers who write about R (in English).

Proper citation: R-Bloggers.com (RRID:SCR_012876) Copy   


  • RRID:SCR_010975

    This resource has 1+ mentions.

https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-8-S1-S21

A microarray platform that uses the Illumina and Affymetrix GeneChip microarray technology for genome and transcriptome analyses and a web-based database that consists exclusively of high quality Affymetrix data from immunological experiments hosted by a public, non-profit consortium of three scientific public institutions aimed to develop, integrate and disseminate Functional Genomics.

Proper citation: Genopolis (RRID:SCR_010975) Copy   


  • RRID:SCR_011822

    This resource has 5000+ mentions.

http://blast.ncbi.nlm.nih.gov/Blast.cgi?PROGRAM=tblastn&PAGE_TYPE=BlastSearch&LINK_LOC=blasthome

Tool to search translated nucleotide databases using a protein query.

Proper citation: TBLASTN (RRID:SCR_011822) Copy   


  • RRID:SCR_011791

    This resource has 50+ mentions.

http://www.genomicus.biologie.ens.fr/genomicus-72.01/cgi-bin/search.pl

A genome browser that enables users to navigate in genomes in several dimensions: linearly along chromosome axes, transversaly across different species, and chronologicaly along evolutionary time.

Proper citation: Genomicus (RRID:SCR_011791) Copy   


http://www.biocompare.com/Antibodies/

Search Tool that lets researchers search over 1 million antibodies from hundreds of antibody suppliers quickly and easily.

Proper citation: Biocompare Antibody Search Tool (RRID:SCR_011998) Copy   


  • RRID:SCR_011928

    This resource has 100+ mentions.

http://nhjy.hzau.edu.cn/kech/swxxx/jakj/dianzi/Bioinf6/GeneFinding/GeneFinding2.htm

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 10,2020. Data analysis service for Hidden Markov Model (HMM)-based gene structure prediction (multiple genes, both chains).

Proper citation: FGENESH (RRID:SCR_011928) Copy   


  • RRID:SCR_010950

    This resource has 100+ mentions.

http://race.unil.ch/

A collection of web tools designed to assist with the analysis of DNA microarray data and results. RACE performs probe level data preprocessing, quality checks, normalization, and visualization for Affymetrix GeneChips. In addition, it performs clustering and differential analysis of normalized expression levels or ratios for arbitrary platforms, and estimates the false discovery rates in lists of potentially regulated genes. A Gene Ontology (GO)-term analysis assists in the biological interpretation of gene lists. The user can customize each analysis request; upon submission the analysis is executed in a fully automated way., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: RACE (RRID:SCR_010950) Copy   


  • RRID:SCR_013033

    This resource has 1+ mentions.

http://proteins.gmu.edu/automute/

AUTOmated server for predicting functional consequences of amino acid MUTations in protEins.

Proper citation: AUTO-MUTE (RRID:SCR_013033) Copy   


  • RRID:SCR_011972

http://www.imtech.res.in/raghava/hslpred/

A support vector machine (SVM)-based method for the prediction of 4 major subcellular localization (cytoplasm, mitochondrial, nuclear and plasma membrane) of human proteins using various features such as i) amino acid composition, ii) dipeptide composition and iii) evolutionary information of proteins.

Proper citation: HSLPred (RRID:SCR_011972) Copy   


  • RRID:SCR_011973

    This resource has 1+ mentions.

http://jci-bioinfo.cn/iLoc-Plant

Data analysis service for predicting subcellular localization of plant proteins with single and multiple sites.

Proper citation: iLoc-Plant (RRID:SCR_011973) Copy   


  • RRID:SCR_011974

    This resource has 1+ mentions.

http://bio-cluster.iis.sinica.edu.tw/kbloc/index.html

A knowledge-based data analysis service to predict the localization site(s) of both single-localized and multi-localized proteins.

Proper citation: KnowPredsite (RRID:SCR_011974) Copy   


  • RRID:SCR_012033

    This resource has 10+ mentions.

http://biome.ewha.ac.kr:8080/GSEAWebApp/

An integrative platform for diverse types of gene set analysis with annotation network navigation. It includes tools for statistical analysis, visualization of annotation relationships, retrieval of genes from annotation database, and set operation for gene sets. In an effort to allow access to a full spectrum of amassed biological knowledge, they have integrated a variety of annotation data that include the GO, domain, disease, drug, chromosomal location, and custom-defined annotations. Diverse types of molecular networks (pathways, transcription and microRNA regulations, protein-protein interaction) are also included. The pair-wise relationship between annotation gene sets was calculated using kappa statistics. GARNET consists of three modules--gene set manager, gene set analysis and gene set retrieval, which are tightly integrated to provide virtually automatic analysis for gene sets. A dedicated viewer for annotation network has been developed to facilitate exploration of the related annotations.

Proper citation: GARNET (RRID:SCR_012033) Copy   


  • RRID:SCR_011981

https://applications.bhsai.org/quartetsdb/

A large-scale orthology database for prokaryotes and eukaryotes inferred by evolutionary evidence. Contnet includes orthology predictions among 1621 complete genomes (1365 bacterial, 92 archaeal, and 164 eukaryotic), covering >7 million proteins and 4 million pairwise orthologs; Orthologous groups, comprising >300000 groups of orthologous proteins and >236000 corresponding gene trees; and inparalog groups, comprising >500000 groups of inparalogs.

Proper citation: QuartetS-DB (RRID:SCR_011981) Copy   


  • RRID:SCR_012037

    This resource has 50+ mentions.

http://gexp.kaist.ac.kr/figs/

A web-based workbench to conveniently compare the classification performances of many different filter-based gene selection procedures. In addition to the commonly used filter metric-classifier combinations, user can test various additive methodological options by specification of only up- or down-regulated genes to select, applying feature discretization and adding feature vectors to make a new feature. Throughout the comprehensive comparisons, user can identify the best performing gene selection procedure and subsequent classification performance measured by .632+ bootstrap error estimation for the given binary (two-class) microarray data., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: FiGS (RRID:SCR_012037) Copy   



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