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.
Suite of motif-based sequence analysis tools to discover motifs using MEME, DREME (DNA only) or GLAM2 on groups of related DNA or protein sequences; search sequence databases with motifs using MAST, FIMO, MCAST or GLAM2SCAN; compare a motif to all motifs in a database of motifs; associate motifs with Gene Ontology terms via their putative target genes, and analyze motif enrichment using SpaMo or CentriMo. Source code, binaries and a web server are freely available for noncommercial use.
Proper citation: MEME Suite - Motif-based sequence analysis tools (RRID:SCR_001783) Copy
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
http://www.cs.sunysb.edu/~skiena/shorty/
Software for targeted de novo assembly of microreads with mate pair information and sequencing errors.
Proper citation: SHORTY (RRID:SCR_002048) Copy
Database of genetic and molecular biological information about the filamentous fungi of the genus Aspergillus including information about genes and proteins of Aspergillus nidulans and Aspergillus fumigatus; descriptions and classifications of their biological roles, molecular functions, and subcellular localizations; gene, protein, and chromosome sequence information; tools for analysis and comparison of sequences; and links to literature information; as well as a multispecies comparative genomics browser tool (Sybil) for exploration of orthology and synteny across multiple sequenced Sgenus species. Also available are Gene Ontology (GO) and community resources. Based on the Candida Genome Database, the Aspergillus Genome Database is a resource for genomic sequence data and gene and protein information for Aspergilli. Among its many species, the genus contains an excellent model organism (A. nidulans, or its teleomorph Emericella nidulans), an important pathogen of the immunocompromised (A. fumigatus), an agriculturally important toxin producer (A. flavus), and two species used in industrial processes (A. niger and A. oryzae). Search options allow you to: *Search AspGD database using keywords. *Find chromosomal features that match specific properties or annotations. *Find AspGD web pages using keywords located on the page. *Find information on one gene from many databases. *Search for keywords related to a phenotype (e.g., conidiation), an allele (such as veA1), or an experimental condition (e.g., light). Analysis and Tools allow you to: *Find similarities between a sequence of interest and Aspergillus DNA or protein sequences. *Display and analyze an Aspergillus sequence (or other sequence) in many ways. *Navigate the chromosomes set. View nucleotide and protein sequence. *Find short DNA/protein sequence matches in Aspergillus. *Design sequencing and PCR primers for Aspergillus or other input sequences. *Display the restriction map for a Aspergillus or other input sequence. *Find similarities between a sequence of interest and fungal nucleotide or protein sequences. AspGD welcomes data submissions.
Proper citation: ASPGD (RRID:SCR_002047) Copy
http://www.bioconductor.org/packages/release/bioc/html/ADaCGH2.html
Software for analysis and plotting of array comparative genomic hybridization (CGH) data. It allows usage of Circular Binary Segementation, wavelet-based smoothing (both as in Liu et al., and HaarSeg as in Ben-Yaacov and Eldar), HMM, BioHMM, GLAD, CGHseg. Most computations are parallelized (either via forking or with clusters, including MPI and sockets clusters) and use ff for storing data.
Proper citation: ADaCGH2 (RRID:SCR_001981) Copy
https://cran.r-project.org/src/contrib/Archive/PurBayes/
An MCMC-based algorithm that uses next-generation sequencing data to estimate tumor purity and clonality for paired tumor-normal data.
Proper citation: PurBayes (RRID:SCR_002068) Copy
http://www.bioconductor.org/packages/release/bioc/html/HTqPCR.html
Software package for the analysis of Ct values from high throughput quantitative real-time PCR (qPCR) assays across multiple conditions or replicates. The input data can be from spatially-defined formats such ABI TaqMan Low Density Arrays or OpenArray; LightCycler from Roche Applied Science; the CFX plates from Bio-Rad Laboratories; conventional 96- or 384-well plates; or microfluidic devices such as the Dynamic Arrays from Fluidigm Corporation. HTqPCR handles data loading, quality assessment, normalization, visualization and parametric or non-parametric testing for statistical significance in Ct values between features (e.g. genes, microRNAs).
Proper citation: HTqPCR (RRID:SCR_003375) Copy
http://cran.r-project.org/web/packages/NanoStringNorm/
Software package for normalizing, diagnostics and visualization of NanoString nCounter data. Key features include an extensible environment for method comparison and new algorithm development, integrated gene and sample diagnostics, and facilitated downstream statistical analysis.
Proper citation: NanoStringNorm (RRID:SCR_003382) Copy
http://img.jgi.doe.gov/cgi-bin/m/main.cgi
Resource for analysis and annotation of genome and metagenome datasets in comprehensive comparative context. IMG provides users with tools for analyzing publicly available genome datasets and metagenome datasets.
Proper citation: IMG System (RRID:SCR_002965) Copy
http://www.scrm.uzh.ch/biobank.html
The SCRM-CTBB offers state-of-the-art infrastructure and technologies (e.g. cryogenic work bench, semiautomatic cryogenic storage system, uninterrupted cooling chain) and is structured into two areas, including research and a GMP/GCP regulated therapeutic applications. Research: For pre-clinical studies, the SCRM-CTBB provides researchers guidance regarding cell and tissue cryo-preservation, comprising registration, handling, storage and distribution. In order to ensure complete traceability on samples and belonging information all processes are controlled by a Laboratory Information Management System (LIMS) and Quality Assurance (QA) system. The SCRM Biobank is designed to create database that allows connection with other biobanks nationally and internationally. This meta-data file will enable a unique scientific resource for interdisciplinary research. For every new study a contract is established describing the study and the disposition rights. Assistance in writing Biobank Agreements (BAs) and Material Transfer Agreements (MTAs) is provided. Therapeutical applications: As a new feature, apart from research, the SCRM Biobank enables the asservation and preservation of cells and tissues under GMP conditions for later therapeutic use. A special focus will be on a conceptional combination of private and public umbilical cord blood banking (hybrid banking), which allows autologous and/or allogeneic cell applications.
Proper citation: University of Zurich SCRM - Cell-and Tissue Biobank (RRID:SCR_004959) Copy
http://amide.sourceforge.net/index.html
Software tool for viewing, analyzing, and registering volumetric medical imaging data sets. It has been written on top of GTK+ and runs on any system that supports this toolkit (Linux, Windows, Mac OS X, etc.). The program incorporates automatic non-orthogonal data reslicing, allowing multiple data set to be fused without imposed constraints on the dimensions, anisotrophy, or voxel sizes of the data. Additional features include 3D ROI (ellipses, cylinders, boxes, and isocontours), multi-slice viewing, volume rendering, and data importing through the (X)MedCon library.
Proper citation: amide (RRID:SCR_005940) Copy
http://www.bioconductor.org/packages/2.13/bioc/html/epigenomix.html
Software package for the integrative analysis of microarray based gene expression and histone modification data obtained by ChIP-seq. The package provides methods for data preprocessing and matching as well as methods for fitting bayesian mixture models in order to detect genes with differences in both data types.
Proper citation: epigenomix (RRID:SCR_006407) Copy
http://soap.genomics.org.cn/soapaligner.html
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 12,2024. Updated version of SOAP software for short oligonucleotide alignment that features in super fast and accurate alignment for huge amounts of short reads generated by Illumina/Solexa Genome Analyzer., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: SOAPaligner/soap2 (RRID:SCR_005503) Copy
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 12,2024. Software application for pedigree drawing (entry from Genetic Analysis Software)
Proper citation: Pedigree-Draw (RRID:SCR_008302) Copy
http://www.ch.embnet.org/software/COILS_form.html
COILS is a program that compares a sequence to a database of known parallel two-stranded coiled-coils and derives a similarity score. By comparing this score to the distribution of scores in globular and coiled-coil proteins, the program then calculates the probability that the sequence will adopt a coiled-coil conformation.
Proper citation: COILS: Prediction of Coiled Coil Regions in Proteins (RRID:SCR_008440) Copy
A comprehensive analysis and visualization software package for gene expression experiments that provides: a number of clustering and analysis techniques; integrated gene expression and analysis result visualizations, integration with the Gene Expression Omnibus; and an optional data sharing architecture. GO is used to assign functional enrichment scores to clusters, using a combination of specially developed techniques and general statistical methods. These results can be explored using the in built ontology browsing tool or through the generated web pages. SeqExpress also supports numerous data transformation, projection, visualization, file export/import, searching, integration (with R), and clustering options.
Proper citation: SeqExpress (RRID:SCR_007075) Copy
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
http://subread.sourceforge.net/
Software package for high-performance read alignment, quantification and mutation discovery.General purpose read aligner which can be used to map both genomic DNA-seq reads and RNA-seq reads. Subread aligner as fast, accurate and scalable read mapping by seed-and-vote.These programs were also implemented in Bioconductor R package Rsubread.
Proper citation: Subread (RRID:SCR_009803) Copy
http://sourceforge.net/projects/gsa-snp/
A tool for the gene-set (or pathway) analysis of a genome-wide association study result. It accepts a genome-wide list of SNPs and their association P-values. It summarizes the SNP P-values into nearby genes. The gene-by-gene summary results are then further summarized by gene-sets such as Gene Ontology, KEGG pathways, or user-created gene-sets. Various standardization and statistical tests can be performed and the resulting gene-sets that pass a significance level after multiple-testing correction are reported. The tool is written in Java and is available as a standalone version.
Proper citation: GSA-SNP (RRID:SCR_013109) Copy
Ratings or validation data are available for this resource
http://www.bioinformatics.babraham.ac.uk/projects/trim_galore/
Software tool to automate quality and adapter trimming as well as quality control, with some added functionality to remove biased methylation positions for RRBS sequence files for directional, non-directional or paired-end sequencing. Wrapper around Cutadapt and FastQC to consistently apply adapter and quality trimming to FastQ files, with extra functionality for Reduced Representation Bisulfite Sequencing data.
Proper citation: Trim Galore (RRID:SCR_011847) 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 NIF Resources search. From here you can search through a compilation of resources used by NIF and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that NIF 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 NIF then you can log in from here to get additional features in NIF 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 NIF 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 NIF 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.