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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.
http://panoga.sabanciuniv.edu/
A web server to devise functionally important pathways through the identification of single nucleotide polymorphism (SNP)-targeted genes within these pathways. The strength of the methodology stems from its multidimensional perspective, where evidence from the following five resources is combined: (i) genetic association information obtained through GWAS, (ii) SNP functional information, (iii) protein-protein interaction network, (iv) linkage disequilibrium and (v) biochemical pathways.
Proper citation: PANOGA (RRID:SCR_006242) Copy
http://tardis.nibio.go.jp/homstrad/
A curated database of structure-based alignments for homologous protein families. All known protein structure are clustered into homologous families (i.e., common ancestry), and the sequences of representative members of each family are aligned on the basis of their 3D structures using the programs MNYFIT, STAMP and COMPARER. These structure-based alignments are annotated with JOY and examined individually.
Proper citation: HOMSTRAD - Homologous Structure Alignment Database (RRID:SCR_006544) Copy
Web application that filters and links enriched output data identifying sets of associated genes and terms, producing metagroups of coherent biological significance. The method uses fuzzy reciprocal linkage between genes and terms to unravel their functional convergence and associations. It can also be accessed through its web service.
Proper citation: GeneTerm Linker (RRID:SCR_006385) Copy
http://www.nactem.ac.uk/medie/
An intelligent search engine to retrieve biomedical correlations from MEDLINE, based on indexing by Natural Language Processing and Text Mining techniques. You can find abstracts/sentences in MEDLINE by specifying semantics of correlations; for example, What activates p53 and What causes colon cancer. Semantic search uses a semantic query for finding biomedical correlations. Input a subject, a verb, and an object of a concept (or either of them) into a form. Results of the query will be shown in a second. (E.g., What does p53 activate? (subject=p53, verb=activate)) Reference: Miyao, Yusuke, Tomoko Ohta, Katsuya Masuda, Yoshimasa Tsuruoka, Kazuhiro Yoshida, Takashi Ninomiya and Jun''''ichi Tsujii (2006) Semantic Retrieval for the Accurate Identification of Relational Concepts in Massive Textbases. Proceedings COLING-ACL 2006. Sydney, Australia, pp. 1017--1024.
Proper citation: MEDIE (RRID:SCR_006254) Copy
http://genetrail.bioinf.uni-sb.de/
A web-based application that analyzes gene sets for statistically significant accumulations of genes that belong to some functional category. Considered category types are: KEGG Pathways, TRANSPATH Pathways, TRANSFAC Transcription Factor, GeneOntology Categories, Genomic Localization, Protein-Protein Interactions, Coiled-coil domains, Granzyme-B clevage sites, and ELR/RGD motifs. The web server provides two statistical approaches, "Over-Representation Analysis" (ORA) comparing a reference set of genes to a test set, and "Gene Set Enrichment Analysis" (GSEA) scoring sorted lists of genes., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: GeneTrail (RRID:SCR_006250) Copy
http://bioinformatics.intec.ugent.be/magic/
Web based interface for exploring and analyzing a comprehensive maize-specific cross-platform expression compendium. This compendium was constructed by collecting, homogenizing and formally annotating publicly available microarrays from Gene Expression Omnibus (GEO), and ArrayExpress.
Proper citation: Magic (RRID:SCR_006406) Copy
http://amp.pharm.mssm.edu/l2n/upload/register.php
A web-based software system that allows users to upload lists of mammalian genes/proteins onto a server-based program for integrated analysis. The system includes web-based tools to manipulate lists with different set operations, to expand lists using existing mammalian networks of protein-protein interactions, co-expression correlation, or background knowledge co-annotation correlation, as well as to apply gene-list enrichment analyses against many gene-list libraries of prior biological knowledge such as pathways, gene ontology terms, kinase-substrate, microRNA-mRAN, and protein-protein interactions, metabolites, and protein domains. Such analyses can be applied to several lists at once against many prior knowledge libraries of gene-lists associated with specific annotations. The system also contains features that allow users to export networks and share lists with other users of the system.
Proper citation: Lists2Networks (RRID:SCR_006323) Copy
https://www.ncbi.nlm.nih.gov/geo/
THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 19, 2022.
Proper citation: NCBI Epigenomics (RRID:SCR_006151) Copy
http://www.ncbi.nlm.nih.gov/CBBresearch/Schaffer/fastlink.html
Software application (entry from Genetic Analysis Software)
Proper citation: FASTLINK (RRID:SCR_009177) Copy
Software program for mapping quantitative trait loci in experimental crosses. (entry from Genetic Analysis Software)
Proper citation: R/QTL (RRID:SCR_009085) Copy
http://genome.sph.umich.edu/wiki/Minimac
Software application that is a low memory, computationally efficient implementation of the MaCH algorithm for genotype imputation. It is designed to work on phased genotypes and can handle very large reference panels with hundreds or thousands of haplotypes. The name has two parts. The first, mini, refers to the modest amount of computational resources it requires. The second, mac, is short hand for MaCH, our widely used algorithm for genotype imputation. (entry from Genetic Analysis Software)
Proper citation: MINIMAC (RRID:SCR_009292) Copy
http://evolution.genetics.washington.edu/lamarc/lamarc_prog.html
Software application that estimates effective population sizes, exponential population growth rates, and past migration rates between two or n populations, and simultaneously estimates the per-nucleotide recombination rate. Currently Lamarc can use DNA or RNA sequence data, SNP data, and microsatellite data. (entry from Genetic Analysis Software)
Proper citation: LAMARC (RRID:SCR_009252) Copy
http://www.sanger.ac.uk/resources/software/peer/
Software collection of Bayesian approaches to infer hidden determinants and their effects from gene expression profiles using factor analysis methods. Applications of PEER have * detected batch effects and experimental confounders * increased the number of expression QTL findings by threefold * allowed inference of intermediate cellular traits, such as transcription factor or pathway activations This project offers an efficient and versatile C++ implementation of the underlying algorithms with user-friendly interfaces to R and python.
Proper citation: PEER (RRID:SCR_009326) Copy
Software library providing a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures. The project includes these modules: * Hadoop Common: The common utilities that support the other Hadoop modules. * Hadoop Distributed File System (HDFS): A distributed file system that provides high-throughput access to application data. * Hadoop YARN: A framework for job scheduling and cluster resource management. * Hadoop MapReduce: A YARN-based system for parallel processing of large data sets.
Proper citation: Apache Hadoop (RRID:SCR_011879) Copy
http://www.openbioinformatics.org/annovar/
An efficient software tool to utilize update-to-date information to functionally annotate genetic variants detected from diverse genomes (including human genome hg18, hg19, as well as mouse, worm, fly, yeast and many others). Given a list of variants with chromosome, start position, end position, reference nucleotide and observed nucleotides, ANNOVAR can perform: 1. gene-based annotation. 2. region-based annotation. 3. filter-based annotation. 4. other functionalities. (entry from Genetic Analysis Software)
Proper citation: ANNOVAR (RRID:SCR_012821) Copy
http://perlprimer.sourceforge.net/
A free, open-source GUI software application written in Perl that designs primers for standard PCR, bisulphite PCR, real-time PCR (QPCR) and sequencing.
Proper citation: PerlPrimer (RRID:SCR_012038) Copy
https://github.com/Gregor-Mendel-Institute/poolhap
Software tool for inferring haplotypes from pooled sequencing. Enables to infer strain numbers and haplotype frequencies in silico from sequences of pooled samples.
Proper citation: PoolHap (RRID:SCR_012129) Copy
https://CRAN.R-project.org/package=cluster
Software R package. Methods for Cluster analysis. Performs variety of types of cluster analysis and other types of processing on large microarray datasets.
Proper citation: Cluster (RRID:SCR_013505) Copy
http://bioinformatics.org/ghemical/ghemical/index.html
Molecular modelling software package with 3D-visualization tools. It supports methods based on both molecular mechanics and quantum mechanics (using MOPAC7, and MPQC for QM). It contains geometry optimization (for MM and QM) and molecular dynamics (for MM) algorithms.
Proper citation: Ghemical (RRID:SCR_014899) Copy
http://huttenhower.sph.harvard.edu/galaxy
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Algorithm for high-dimensional biomarker discovery and explanation that identifies genes, pathways, or taxa characterizing the differences between two or more biological conditions. The algorithm identifies features that are statistically different among biological classes, then performs additional tests to assess whether these differences are consistent with respect to expected biological behavior. Statistical significance and biological relevance are emphasized., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: LEfSe (RRID:SCR_014609) Copy
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