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https://github.com/medema-group/bigslice

Software tool to perform large scale clustering analysis of Biosynthetic Gene Cluster data.

Proper citation: BiG-SLiCE (RRID:SCR_019130) Copy   

•   Source: SciCrunch Registry

https://run.biosimulations.org

Web tool for executing broad range of modeling studies and visualizing their results. Provides web interface for reusing any model. Models, simulations, and visualizations are available under licenses specified for each resource.

Proper citation: runBioSimulations (RRID:SCR_019110) Copy   

•   Source: SciCrunch Registry

https://biosimulators.org

Web tool as collection of containerized biosimulation tools that provide consistent interfaces and guide to choosing simulator. Helps to find simulation tools that have capabilities, including supported modeling frameworks, simulation algorithms, and modeling formats, needed for specific modeling projects.

Proper citation: BioSimulators (RRID:SCR_019111) Copy   

•   Source: SciCrunch Registry

https://sydneybiox.github.io/CiteFuse/

Software R package consisting of suite of tools for doublet detection, modality integration, clustering, differential RNA and protein expression analysis, antibody-derived tag evaluation, ligand-receptor interaction analysis and interactive web-based visualization of CITE-seq data.

Proper citation: CiteFuse (RRID:SCR_019321) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/fgsea/

Software R package for fast preranked gene set enrichment analysis. Allows to make more permutations and get more fine grained p-values, which allows to use accurate stantard approaches to multiple hypothesis correction.

Proper citation: fgsea (RRID:SCR_020938) Copy   

•   Source: SciCrunch Registry

http://floresta.eead.csic.es/primers4clades

Web application for the design of PCR primers for cross-species amplification of novel sequences from metagenomic DNA or from uncharacterized organisms belonging to user-specified phylogenetic lineages. It implements an extended CODEHOP strategy and evaluates thermodynamic properties of the oligonucleotide pairs.

Proper citation: primers4clades (RRID:SCR_015714) Copy   

•   Source: SciCrunch Registry

http://tissues.jensenlab.org

Database that integrates evidence on tissue expression from manually curated literature, proteomics and transcriptomics screens, and automatic text mining. It maps all evidence to common protein identifiers and Brenda Tissue Ontology terms, and further unifies it by assigning confidence scores that facilitate comparison of the different types and sources of evidence.

Proper citation: TISSUES (RRID:SCR_015665) Copy   

•   Source: SciCrunch Registry

https://github.com/Rinoahu/SwiftOrtho

Software tool for orthology analysis to identify orthologs, paralogs and co orthologs for genomes. Used to perform homology classification across genomes of different species in large genomic datasets.

Proper citation: SwiftOrtho (RRID:SCR_017122) Copy   

•   Source: SciCrunch Registry

https://github.com/ZSI-Bio/bdg-sequila

Software tool for genomic intervals querying and processing built on top of Apache Spark. Elastic, fast and scalable SQL oriented solution for processing and querying genomic intervals.

Proper citation: SeQuiLa (RRID:SCR_017220) Copy   

•   Source: SciCrunch Registry

https://CRAN.R-project.org/package=ape

Software R package for analysis of phylogenetics and evolution. Environment for modern phylogenetics and evolutionary analyses in R.

Proper citation: ape (RRID:SCR_017343) Copy   

•   Source: SciCrunch Registry

https://github.com/ctlab/GADMA

Software tool to implement methods for automatic inferring joint demographic history of multiple populations from genetic data. Genetic algorithm for inferring demographic history of multiple populations from allele frequency spectrum data.

Proper citation: GADMA (RRID:SCR_017680) Copy   

•   Source: SciCrunch Registry

http://paintmychromosomes.com/

Software tool as algorithm for identifying population structure using dense sequencing data. Can perform model based Bayesian clustering on large datasets, including full resequencing data.

Proper citation: fineSTRUCTURE (RRID:SCR_018170) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

https://github.com/santeripuranen/SpydrPick

Software command line tool for performing direct coupling analysis of aligned categorical datasets. Used for analysis at scale of pan genomes of many bacteria. Incorporates correction for population structure, which adjusts for phylogenetic signal in data without requiring explicit phylogenetic tree.

Proper citation: SpydrPick (RRID:SCR_018176) Copy   

•   Source: SciCrunch Registry

https://github.com/AndreMacedo88/VEnCode

Software tool to perform intersectional genetics-related operations to find VEnCodes using databases provided by FANTOM5 consortium, namely CAGE enhancer and transcription start site (TSS) databases.

Proper citation: VEnCode (RRID:SCR_018024) Copy   

•   Source: SciCrunch Registry

https://github.com/BackofenLab/CRISPRcasIdentifier

Software tool providing machine learning approach for identification and classification of CRISPR-Cas systems. Combines regression and classification approaches for improving quality of input protein cassettes and predicting their subtypes.

Proper citation: CRISPRcasIdentifier (RRID:SCR_018296) Copy   

•   Source: SciCrunch Registry

https://github.com/xiaeryu/SpoTyping-v2.0

Software tool for fast and accurate in silico Mycobacterium spoligotyping from sequence reads.

Proper citation: SpoTyping (RRID:SCR_018466) Copy   

•   Source: SciCrunch Registry

https://database.riken.jp/sw/en/The_RIKEN_integrated_database_of_mammals/ria254i/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 16, 2019.
A database that integrates not only RIKEN''''s original large-scale mammalian databases, such as FANTOM, the ENU mutagenesis program, the RIKEN Cerebellar Development Transcriptome Database and the Bioresource Database, but also imported data from public databases, such as Ensembl, MGI and biomedical ontologies. Our integrated database has been implemented on the infrastructure of publication medium for databases, termed SciNetS/SciNeS, or the Scientists'''' Networking System, where the data and metadata are structured as a semantic web and are downloadable in various standardized formats. The top-level ontology-based implementation of mammal-related data directly integrates the representative knowledge and individual data records in existing databases to ensure advanced cross-database searches and reduced unevenness of the data management operations. Through the development of this database, we propose a novel methodology for the development of standardized comprehensive management of heterogeneous data sets in multiple databases to improve the sustainability, accessibility, utility and publicity of the data of biomedical information.

Proper citation: RIKEN integrated database of mammals (RRID:SCR_006890) Copy   

•   Source: SciCrunch Registry

http://compbio.dfci.harvard.edu/tgi/

THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone.. Documented on August 19,2019.The goal of The Gene Index Project is to use the available Expressed Sequence Transcript (EST) and gene sequences, along with the reference genomes wherever available, to provide an inventory of likely genes and their variants and to annotate these with information regarding the functional roles played by these genes and their products. The promise of genome projects has been a complete catalog of genes in a wide range of organisms. While genome projects have been successful in providing reference genome sequences, the problem of finding genes and their variants in genomic sequence remains an ongoing challenge. TGI has created an inventory that contains genes and their variants together with description. In addition, this resource is attempting to use these catalogs to find links between genes and pathways in different species and to provide lists of features within completed genomes that can aid in the understanding of how gene expression is regulated. DATABASES *Eukaryotic Gene Orthologues (formerly known as TOGA - TIGR Orthologous Gene Alignment): Eukaryotic Gene Orthologues (EGO) at DFGI are generated by pair-wise comparison between the Tentative Consensus (TC) sequences that comprise the Dana Farber Gene Indices from individual organisms. The reciprocal pairs of the best match were clustered into individual groups and multiple sequence alignments were displayed for each group. *GeneChip Oncology Database (GCOD):Cancer gene expression database is a collection of publicly available microarray expression data on Affymetrix GeneChip Arrays related to human cancers. Currently only datasets with available raw data (Affymetrix .CEL files) are processed. All processed datasets were subjected to extensive manual curation, uniform processing and consistent quality control. You can browse the experiments in our collection, perform statistical analysis, and download processed data; or to search gene expression profiles using Entrez gene symbol, Unigene ID, or Affymetrix probeset ID. *Gene Indices: As of July 1, 2008, there are 111 publicly available gene indices. They are separated into 4 categories for better organization and easier access. Animal: 41, Plant: 45, Protist: 15, Fungal: 10 *Genomic Maps: Human, mouse, rat, chicken, drosophila melanogaster, zebrafish, mosquito, caenorhabditis elegans, Arabidopsis thaliana, rice, yeast, fission yeast Dana-Farber Cancer Institute (DFCI) Gene Indices Software Tools: *TGI Clustering tools (TGICL): a software system for fast clustering of large EST datasets. *GICL: this package contains the scripts and all the necessary pre-compiled binaries for 32bit Linux systems. *clview: an assembly file viewer. *SeqClean:a script for automated trimming and validation of ESTs or other DNA sequences by screening for various contaminants, low quality and low-complexity sequences. *cdbfasta/cdbyank: fast indexing/retrieval of fasta records from flat file databases. *DAS/XML Genomic Viewer The Genomic viewer borrows modules from http://www.biodas.org (lstein (at) cshl.org) & http://webreference.com.

Proper citation: Gene Index Project (RRID:SCR_002148) Copy   

•   Source: SciCrunch Registry

http://sharcgs.molgen.mpg.de/

Software package for a DNA assembly program designed for de novo assembly of 25-40mer input fragments and deep sequence coverage.

Proper citation: SHARCGS (RRID:SCR_002026) Copy   

•   Source: SciCrunch Registry