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http://hipathdb.kobic.re.kr/

hiPathDB is an integrated pathway database that combines the curated human pathway data of NCI-Nature PID, Reactome, BioCarta and KEGG. In total, it includes 1661 pathways consisting of 8976 distinct physical entities. (2010.03.09) hiPathDB provides two different types of integration. The pathway-level integration, conceptually a simple collection of individual pathways, was achieved by devising an elaborate model that takes distinct features of four databases into account and subsequently reformatting all pathways in accordance with our model. The entity-level integration creates a single unified pathway that encompasses all pathways by merging common components. Even though the detailed molecular-level information such as complex formation or post-translational modifications tends to be lost, such integration makes it possible to investigate signaling network over the entire pathways and allows identification of pathway cross-talks. Another strong merit of hiPathDB is the built-in pathway visualization module that supports explorative studies of complex networks in an interactive fashion. The layout algorithm is optimized for virtually automatic visualization of the pathways.

Proper citation: hiPathDB - human integrated Pathway DB with facile visualization (RRID:SCR_008900) Copy   

•   Source: SciCrunch Registry

http://hippocampome.org

A curated knowledge base of the circuitry of the hippocampus of normal adult, or adolescent, rodents at the mesoscopic level of neuronal types. Knowledge concerning dentate gyrus, CA3, CA2, CA1, subiculum, and entorhinal cortex is distilled from published evidence and is continuously updated as new information becomes available. Each reported neuronal property is documented with a pointer to, and excerpt from, relevant published evidence, such as citation quotes or illustrations. Please note: This is an alpha-testing site. The content is still being vetted for accuracy and has not yet undergone peer-review. As such, it may contain inaccuracies and should not (yet) be trusted as a scholarly resource. The content does not yet appear uniformly across all combinations of browsers and screen resolutions.

Proper citation: Hippocampome.org (RRID:SCR_009023) Copy   

•   Source: SciCrunch Registry

http://diana.imis.athena-innovation.gr/DianaTools/index.php?r=lncBase/index

Database that hosts elaborated information for both predicted and experimentally verified, miRNA-lncRNA interactions. The database consists of two distinct modules. The Experimental Module contains detailed information for more than 5,000 interactions, between 2,958 lncRNAs and 120 miRNAs, ranging from miRNA and lncRNA related facts to information specific to their interaction, the experimental validation methodologies and their outcomes. The Prediction Module, which is based on the latest version of DIANA-microT target prediction algorithm (DIANA-microT-CDS), contains detailed information for more than 10 million interactions, between 56,097 lncRNAs and 3,078 miRNAs, ranging from miRNA and lncRNA related details to specific information regarding their interaction sites, graphical representation of their binding and the predicted score. This module exhibits a unique feature for searching the database. Users are able to add genomic locations to their queries thus browsing every miRNA-lncRNA interaction that has at least one MRE located inside the queried locus.

Proper citation: DIANA-LncBase (RRID:SCR_010840) Copy   

•   Source: SciCrunch Registry

http://www.rosaceae.org/

GDR is a curated and integrated web-based relational database. GDR contains comprehensive data of the genetically anchored peach physical map, annotated EST databases of apple, peach, almond, cherry, rose, raspberry and strawberry, Rosaceae maps and markers and all publicly available Rosaceae sequences. Annotations of ESTs include contig assembly, putative function, simple sequence repeats, ORFs, Gene Ontology and anchored position to the peach physical map where applicable. Our integrated map viewer provides graphical interface to the genetic, transcriptome and physical mapping information. We continue to add Rosaceae map data to CMap, a web-based tool that allows users to view comparisons of genetic and physical maps. ESTs, BACs and markers can be queried by various categories and the search result sites are linked to the integrated map viewer or to the WebFPC physical map sites. In addition to browsing and querying the database, users can compare their sequences with the annotated GDR sequences via a dedicated sequence similarity server running either the BLAST or FASTA algorithm, search their sequences for microsatellites using the SSR server or assemble their ESTs using the CAP3 Server.

Proper citation: Genome Database for Rosaceae (RRID:SCR_012756) Copy   

•   Source: SciCrunch Registry

http://www.cleanex.isb-sib.ch/

CleanEx is a database which provides access to public gene expression data via unique approved gene symbols and which represents heterogeneous expression data produced by different technologies in a way that facilitates joint analysis and cross-dataset comparisons. To achieve this goal, each single gene expression experiment is regularly mapped on a permanent target identifier consisting of a physical description of the targeted RNA. There is one entry per gene. To have a complete view of the transcript and its product, we also link each entry to the corresponding protein. We further provide the genomic position of the transcription start site from EPD, when available. Otherwise we give the annotated start site position in Ensembl.

Proper citation: CleanEx (RRID:SCR_012911) Copy   

•   Source: SciCrunch Registry

http://mbgd.genome.ad.jp/

MBGD is a database for comparative analysis of completely sequenced microbial genomes, the number of which is now growing rapidly. The aim of MBGD is to facilitate comparative genomics from various points of view such as ortholog identification, paralog clustering, motif analysis and gene order comparison. The heart of MBGD function is to create orthologous or homologous gene cluster table. For this purpose, similarities between all genes are precomputed and stored into the database, in addition to the annotations of genes such as function categories that were assigned by the original authors and motifs that were found in the translated sequence. Using these homology data, MBGD dynamically creates orthologous gene cluster table. Users can change a set of organisms or cutoff parameters to create their own orthologous grouping. Based on this cluster table, users can further analyze multiple genomes from various points of view with the functions such as global map comparison, local map comparison, multiple sequence alignment and phylogenetic tree construction.

Proper citation: MBGD - Microbial Genome Database (RRID:SCR_012824) Copy   

•   Source: SciCrunch Registry

http://www.informatics.jax.org/

Community model organism database for laboratory mouse and authoritative source for phenotype and functional annotations of mouse genes. MGD includes complete catalog of mouse genes and genome features with integrated access to genetic, genomic and phenotypic information, all serving to further the use of the mouse as a model system for studying human biology and disease. MGD is a major component of the Mouse Genome Informatics.Contains standardized descriptions of mouse phenotypes, associations between mouse models and human genetic diseases, extensive integration of DNA and protein sequence data, normalized representation of genome and genome variant information. Data are obtained and integrated via manual curation of the biomedical literature, direct contributions from individual investigators and downloads from major informatics resource centers. MGD collaborates with the bioinformatics community on the development and use of biomedical ontologies such as the Gene Ontology (GO) and the Mammalian Phenotype (MP) Ontology.

Proper citation: Mouse Genome Database (RRID:SCR_012953) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/iontree.html

Software package that provides utility functions to manage and analyse MS2/MS3 fragmentation data from ion trap mass spectrometry. It was designed for high throughput metabolomics data with many biological samples and a large numer of ion trees collected. Tests have been done with data from low-resolution mass spectrometry but could be readily extended to precursor ion based fragmentation data from high resoultion mass spectrometry.

Proper citation: iontree (RRID:SCR_002813) Copy   

•   Source: SciCrunch Registry

http://home.gwu.edu/~wpeng/Software.htm

A clustering software package for identification of enriched domains from histone modification ChIP-Seq data.

Proper citation: SICER (RRID:SCR_010843) Copy   

•   Source: SciCrunch Registry

http://www.netlab.uky.edu/p/bioinfo/MapSplice

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 6, 2023. Accurate mapping of RNA-seq reads for splice junction discovery.

Proper citation: MapSplice (RRID:SCR_010844) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/p/mira-assembler/wiki/Home/

Sequence assembler and mapper for whole genome shotgun and EST/RNASeq sequencing data.

Proper citation: MIRA (RRID:SCR_010731) Copy   

•   Source: SciCrunch Registry

http://mocklerlab.org/tools/2

A quality-value guided de novo short read assembler.

Proper citation: QSRA (RRID:SCR_010733) Copy   

•   Source: SciCrunch Registry

http://genetics.cs.ucla.edu/harsh/

Software that provides a method to infer the haplotype using haplotype reference panel and high throughput sequencing data.

Proper citation: HARSH (RRID:SCR_010792) Copy   

•   Source: SciCrunch Registry

http://www.bioinf.jku.at/research/short-IBD/

Software that identifies short identity by descent (IBD) segments that are tagged by rare variants in large sequencing data.

Proper citation: HapFABIA (RRID:SCR_010793) Copy   

•   Source: SciCrunch Registry

http://www.wageningenur.nl/en/show/Pedimap.htm

A software tool for visualizing phenotypic and genotypic data for related individuals linked in pedigrees.

Proper citation: Pedimap (RRID:SCR_010796) Copy   

•   Source: SciCrunch Registry

http://www.ngsbicocca.org/html/ceqer.html

A graphical, event-driven tool for CNA/AI-coupled analysis of exome sequencing reads.

Proper citation: CEQer (RRID:SCR_010813) Copy   

•   Source: SciCrunch Registry

http://bg.upf.edu/group/projects/oncodrive-fm.php

An approach to uncover driver genes or gene modules.

Proper citation: Oncodrive-fm (RRID:SCR_010781) Copy   

•   Source: SciCrunch Registry

http://www.bcgsc.ca/platform/bioinfo/software/ssake

Software designed to help leverage the information from short sequences reads by stringently clustering them into contigs that can be used to characterize novel sequencing targets.

Proper citation: SSAKE (RRID:SCR_010753) Copy   

•   Source: SciCrunch Registry

http://www.embl.de/~korbel/CopySeq/

A computational tool that analyzes the depth-of-coverage of high-throughput DNA sequencing reads, and can integrate paired-end and breakpoint junction analysis based CNV-analysis approaches, to infer locus copy-number genotypes.

Proper citation: CopySeq (RRID:SCR_010758) Copy   

•   Source: SciCrunch Registry

https://github.com/ekg/freebayes

A Bayesian genetic variant detector designed to find small polymorphisms, specifically SNPs, indels, MNPs, and complex events smaller than the length of a short-read sequencing alignment.

Proper citation: FreeBayes (RRID:SCR_010761) Copy   

•   Source: SciCrunch Registry