Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
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.
https://code.google.com/p/clever-sv/
A collection of tools to discover and genotype structural variations in genomes from paired-end sequencing reads. The main software is written in C++ with some auxiliary scripts in Python.
Proper citation: CLEVER Toolkit (RRID:SCR_005255) Copy
https://code.google.com/p/clippers/
A software program designed to identify long deletions of a genome as well as the RNA splicings using long Illumina reads. Currently, Clippers is implemented for long reads Illumina, ex: 75bp or 100bp, allowing mismatches and a single deletion/splicing. Clippers is a sister tool of PerM, our short reads aligner. Users are strongly suggested to use PerM to initially mapped reads and identify the deletion/splicing with the initially unmapped reads. We plan to extend it to ABI SOLiD reads in the near future. Clippers outputs gap-alignments in SAM format. You can use SAMtools or other program to interpret the deletion/splicing. The input files are a reference in fasta format and the reads is in fasta or fastq format.
Proper citation: Clippers (RRID:SCR_005256) Copy
http://sv.gersteinlab.org/age/
A tool that implements an algorithm for optimal alignment of sequences with Structural Variations (SVs).
Proper citation: AGE (RRID:SCR_005253) Copy
Software mining pipeline guided by a Bayesian principle to detect single nucleotide polymorphisms, insertion and deletions by comparing high-throughput pyrosequencing reads with a reference genome of related organisms. This pipeline is extended to identify and visualize large-size structural variations, including insertions, deletions, inversions and translocations.
Proper citation: inGAP (RRID:SCR_005261) Copy
http://sv.gersteinlab.org/pemer/
Software package as computational framework with simulation-based error models for inferring genomic structural variants from massive paired-end sequencing data. Package is composed of three modules, PEMer workflow, SV-Simulation and BreakDB. PEMer workflow is a sensitive software for detecting SVs from paired-end sequence reads. SV-Simulation randomly introduces SVs into a given genome and generates simulated paired-end reads from novel genome.
Proper citation: PEMer (RRID:SCR_005263) Copy
http://en.wikipedia.org/wiki/Gene_Wiki
The Gene Wiki is a project that facilitates transferring information on human genes to Wikipedia article stubs with the goal of promoting collaboration and expansion of the articles. Number of gene articles The human genome contains an estimated 20,00025,000 protein-coding genes. The goal of the Gene Wiki project is to create seed articles for every notable human gene, that is, every gene whose function has been assigned in the peer-reviewed scientific literature. Approximately half of human genes have assigned function, therefore the total number of articles seeded by the Gene Wiki project would be expected to be in the range of 10,000 - 15,000. To date, approximately 10,271 articles have been created or augmented to include Gene Wiki project content. Expansion Once seed articles have been established, the hope and expectation is that these will be annotated and expanded by editors ranging in experience from the lay audience to students to professionals and academics. Proteins encoded by genes The majority of genes encode proteins hence understanding the function of a gene generally requires understanding of the function of the corresponding protein. In addition to including basic information about the gene, the project therefore also includes information about the protein encoded by the gene. Stubs for the Gene Wiki project are created by a bot and contain links to the following primary gene/protein databases * HUGO Gene Nomenclature Committee official gene name * Entrez Gene database * OMIM (Mendelian Inheritance in Man) database that catalogues all the known diseases with a genetic component * Amigo Gene Ontology * HomoloGene gene homologs in other species * SymAtlasRNA gene expression pattern in tissues * Protein Data Bank 3D structure of protein encoded by the gene * Uniprot (universal protein resource) a central repository of protein data
Proper citation: Gene Wiki (RRID:SCR_005317) Copy
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 3rd,2023. A software program designed to accurately map sequence data obtained from next-generation sequencing machines (specifically that of Solexa/Illumina) back to a genome of any size. By using the posterior probability of mapping a given read to a specific genomic loation, we are able to account for repetitive reads by distributing them across several regions in the genome. In addition, the output of the program is created in such a way that it can be easily viewed through other free and readily- available programs. Several benchmark data sets were created with spiked-in duplicate regions, and GNUMAP was able to more accurately account for these duplicate regions.
Proper citation: GNUMAP (RRID:SCR_005482) Copy
http://sourceforge.net/projects/cushaw2/files/CUSHAW2-GPU/
Software program (based on CUSHAW2) designed and optimized for Kepler-based GPUs, but still workable on earlier-generation Fermi-based ones.
Proper citation: CUSHAW2-GPU (RRID:SCR_005480) Copy
http://mbgd.genome.ad.jp/CGAT/
A comparative genome analysis tool for detailed comparison of closely related bacterial-sized genomes. It visualizes precomputed pairwise genome alignments on both dotplot and alignment viewers. Users can add information on this alignment, such as existence of tandem repeats or interspersed repetitive sequences and changes in codon usage bias, to facilitate interpretation of the observed genomic changes. Besides visualization functionalities, it also provides a general framework to process genome-scale alignments using various existing alignment programs. CGAT employs a client-server architecture, which consists of AlignmentViewer (client; a Java application) and DataServer (a set of Perl scripts). The DataServer package contains data construction scripts and CGI scripts and the AlignmentViewer program visualizes the alignment data obtained from the server thorough the HTTP protocol.
Proper citation: CGAT (RRID:SCR_005550) Copy
http://cushaw2.sourceforge.net/homepage.htm#latest
Software package for next-generation sequencing read alignment that is fast and parallel gapped read alignment to large genomes, such as the human genome.
Proper citation: CUSHAW (RRID:SCR_005479) Copy
http://manatee.sourceforge.net/
Manatee is a web-based gene evaluation and genome annotation tool; Manatee can store and view annotation for prokaryotic and eukaryotic genomes. The Manatee interface allows biologists to quickly identify genes and make high quality functional assignments, such as GO classifications, using search data, paralogous families, and annotation suggestions generated from automated analysis. Manatee can be downloaded and installed to run under the CGI area of a web server, such as Apache. Platform: Online tool, Linux compatible, Solaris
Proper citation: Manatee (RRID:SCR_005685) Copy
http://www.sanger.ac.uk/resources/software/lookseq/
A web-based application for alignment visualization, browsing and analysis of genome sequence data.
Proper citation: LookSeq (RRID:SCR_005625) Copy
https://www.hgsc.bcm.edu/software/mercury
An automated, flexible, and extensible analysis workflow that provides accurate and reproducible genomic results at scales ranging from individuals to large cohorts. The analysis pipeline is deployed in local hardware and the Amazon Web Services cloud via the DNAnexus platform.
Proper citation: Mercury (RRID:SCR_004231) Copy
http://bioinfo.unl.edu/raiphy.php
A semi-supervised metagenomic fragment classification software program that utilizes the genome signatures to characterize the DNA sequences and taxonomic classification is based on an information theoretic measure referred as Relative Abundance Index (RAI). A DNA sequence of unknown source is classified and taxonomically labeled based on the phylogenetic profiles of the previously sequenced genomes. The profiles are iteratively updated using the unknown DNA sequences and the classification results. After a few cycles, the metagenome is classified into operational taxonomic units.
Proper citation: RAIphy (RRID:SCR_004720) Copy
https://computation-rnd.llnl.gov/lmat/
Open-source software tool to assign taxonomic labels to as many reads as possible in very large metagenomic datasets and report the taxonomic profile of the input sample. The quick "single pass" analysis of every read allows read binning to support additional more computationally expensive analysis such as metagenomic assembly or sensitive database searches on targeted subsets of reads.
Proper citation: LMAT (RRID:SCR_004646) Copy
http://sourceforge.net/projects/gasic/
A method to correct read alignment results for the ambiguities imposed by similarities of genomes.
Proper citation: GASiC (RRID:SCR_006765) Copy
http://www.bioinformatics.babraham.ac.uk/projects/chipmonk/
Software tool to visualize and analyse ChIP-on-chip array data. Main features: * Import of data from Nimblegen arrays (other formats can be added if people send us examples) * Normalization of data (both per array and per probe) * Various data plotting options to assess data quality and the effectiveness of normalization * Creation of data groups for visualization and analysis * Visualization of data against an annotated genome. * Statistical analysis of data to find probes of interest * Creation of reports containing probes, data and genome annotation Note: This project is no longer being developed, but critical bug fixes will still be provided
Proper citation: ChIPMonk (RRID:SCR_002975) Copy
http://crossmap.sourceforge.net/
A software program for convenient conversion of genome coordinates (or annotation files) between different assemblies. It supports most commonly used file formats including SAM/BAM, Wiggle/BigWig, BED, GFF/GTF, VCF. It is designed to liftover genome coordinates between assemblies. It?s not a program for aligning sequences to reference genome. CrossMap is not recommend for converting genome coordinates between species.
Proper citation: CrossMap (RRID:SCR_001173) Copy
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Open source viewer / browser software for the SAM / BAM format commonly used in the assembly tasks of Next Generation Sequencing data.
Proper citation: GenoViewer (RRID:SCR_001203) Copy
http://astridbio.com/genominer-genome-analyzer/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. A next generation sequencing data analysis computer for biologists with or without IT background. It has an easy to-use graphical interface to analyze sequencing data in with only 15 clicks. A range of standard, add-on and custom applications help analyze and visualize data generated by Next Generation Sequencing machines. These are installed on each GenoMiner by default: * Reference assembly * De novo assembly * ChiP-Seq * BLAST * Hybrid de novo assembly * Hybrid reference assembly Add-on applications: * Quality assesment * RNA-Seq * Copy Number Variation (CNV) * Multiple Sequence Alignment * miRNA-Seq * Variant Calling
Proper citation: GenoMiner (RRID:SCR_001202) Copy
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the RRID Resources search. From here you can search through a compilation of resources used by RRID and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that RRID has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on RRID then you can log in from here to get additional features in RRID such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
You can save any searches you perform for quick access to later from here.
We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.
If you are logged into RRID you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the sources that were queried against in your search that you can investigate further.
Here are the categories present within RRID that you can filter your data on
Here are the subcategories present within this category that you can filter your data on
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.