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The HUGE protein database has been created to publicize the Human cDNA project at the Kazusa DNA Research Institute. This project will sequence and analyze long (>4 kb) human cDNAs and establish methods by using the sequence data how to predict the primary structure of proteins of various biological activities. Currently, it focuses on the analysis of cDNA clones encoding particularly large proteins (>50 kDa). The HUGE protein database contains various types of information derived from the predicted primary structure data of newly identified human proteins. The HUGE protein database are expected to cover various sets of large human proteins of hitherto unidentified functions. They are likely to be involved in cellular structure/motility (such as cytoskeleton, membrane skeleton, and motor proteins), gene expression and nucleic acid metabolism, cell signaling/communication (such as cellular adhesion, signal transduction, channels, and receptors), and so on.
Proper citation: HUGE - Human Unidentified Gene-Encoded large proteins (RRID:SCR_013482) Copy
http://db.systemsbiology.net/kaviar/
A database containing a compilation of SNVs, indels, and complex variants observed in humans, designed to facilitate testing for the novelty and frequency of observed variants.
Proper citation: KAVIAR (RRID:SCR_013737) Copy
A database of protein disorder and mobility annotations. The database features three levels of annotation: manually curated data (which are extracted from the DisProt database), indirect data, and predicted data. Additional annotations are included from external sources, including UniProt, Pfam, PDB, and STRING.
Proper citation: MobiDB (RRID:SCR_014542) Copy
https://rtips.cancer.gov/rtips/index.do
Database of cancer control interventions and program materials. It is designed to provide program planners and public health practitioners easy and immediate access to research-tested materials.
Proper citation: Research-tested Intervention Programs (RTIPs) (RRID:SCR_016042) Copy
http://floresta.eead.csic.es/3dfootprint
Database of DNA-binding protein structures that is updated with Protein Data Bank complexes. It provides structure-based binding specificities and sequence logos, classification and clusters of protein-DNA interfaces, and downloads/stats.
Proper citation: 3D-footprint (RRID:SCR_015713) Copy
Database for the identification of the human proteome and its use across the scientific community. Users can browse proteins and chromosomes and contribute to the data repository.
Proper citation: ProteomicsDB (RRID:SCR_015562) Copy
http://bioconductor.org/packages/EGSEA/
Method developed for RNA-sequencing data. EGSEA combines results from twelve algorithms and calculates collective gene set scores to improve the biological relevance of the highest ranked gene sets.
Proper citation: EGSEA (RRID:SCR_015036) Copy
http://amp.pharm.mssm.edu/datasets2tools/
Database for the discovery and evaluation of biomedical digital objects. It includes a wide variety of enrichment analyses, gene interaction networks, interactive data visualizations, datasets, and computational tools.
Proper citation: Datasets2Tools (RRID:SCR_016174) Copy
Collection of transcription factor microRNA regulations. TransmiR v2.0 manually curated TF-miRNA regulations from publications during 2013-2017 and included ChIP-seq-derived TF-miRNA regulation data.
Proper citation: TransmiR (RRID:SCR_017499) Copy
Manually curated database offering variability and pathogenicity information about mtDNA variants. Human mitochondrial variants data of healthy and diseased subjects.Data and text mining pipeline to annotate human mitochondrial variants with functional and clinical information.
Proper citation: HmtVar (RRID:SCR_017288) Copy
Collection of chemical compounds and associated information that were automatically extracted by text mining content of PubMed and PubChem databases. Unifies chemical lists from metabolomics, systems biology, environmental epidemiology, occupational expossure, toxiology and nutrition fields.
Proper citation: Blood Exposome Database (RRID:SCR_017610) Copy
http://cran.r-project.org/web/packages/circlize/
Software package that implements and enhances circular visualization in R. Due to natural born feature of R to draw statistical graphics, this package can provide more general and flexible way to visualize huge information in circular style.
Proper citation: circlize (RRID:SCR_002141) Copy
A suite of software tools for analyzing and manipulating next-generation sequencing datasets, such as FASTQ, BED and BAM format files. These tools provide a stable and modular platform for data management and analysis.
Proper citation: NGSUtils (RRID:SCR_001236) Copy
Software library and suite of command line tools for working with DNA sequence that takes a k-mer-centric approach to sequence analysis. It is primarily aimed at short-read sequencing data such as that produced by the Illumina platform.
Proper citation: khmer (RRID:SCR_001156) Copy
http://bioconductor.org/packages/release/bioc/html/nondetects.html
Software R package to model and impute non-detects in results of qPCR experiments.Used to directly model non-detects as missing data.
Proper citation: nondetects (RRID:SCR_001702) Copy
http://clip.med.yale.edu/presto/
Software toolkit for processing raw reads from high-throughput sequencing of lymphocyte repertoires.
Proper citation: pRESTO (RRID:SCR_001782) Copy
http://wpicr.wpic.pitt.edu/WPICCompGen/fdr/
Software application (entry from Genetic Analysis Software)
Proper citation: WEIGHTED FDR (RRID:SCR_013442) Copy
http://www.yandell-lab.org/software/maker.html
Software genome annotation pipeline. Portable and easily configurable genome annotation pipeline. Used to allow smaller eukaryotic and prokaryotic genomeprojects to independently annotate their genomes and to create genome databases. MAKER identifies repeats, aligns ESTs and proteins to genome, produces ab-initio gene predictions and automatically synthesizes these data into gene annotations having evidence based quality values.
Proper citation: MAKER (RRID:SCR_005309) Copy
A multiplatform open-source software to assist molecular biologists without much expertise in bioinformatics to manage, analyze and visualize their data. UGENE integrates widely used bioinformatics tools within a common user interface. The toolkit supports multiple biological data formats and allows the retrieval of data from remote data sources. It provides visualization modules for biological objects such as annotated genome sequences, Next Generation Sequencing (NGS) assembly data, multiple sequence alignments, phylogenetic trees and 3D structures. Most of the integrated algorithms are tuned for maximum performance by the usage of multithreading and special processor instructions. UGENE includes a visual environment for creating reusable workflows that can be launched on local resources or in a High Performance Computing (HPC) environment. UGENE is written in C++ using the Qt framework. The built-in plugin system and structured UGENE API make it possible to extend the toolkit with new functionality.
Proper citation: Unipro UGENE (RRID:SCR_005579) 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
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