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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.

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On page 51 showing 1001 ~ 1020 out of 26,133 results
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  • RRID:SCR_006657

    This resource has 10+ mentions.

http://sourceforge.net/projects/splicegrapher/

Software that predicts alternative splicing patterns and produces splice graphs that capture in a single structure the ways a gene''s exons may be assembled. It enhances gene models using evidence from next-generation sequencing and EST alignments.

Proper citation: SpliceGrapher (RRID:SCR_006657) Copy   


  • RRID:SCR_006653

    This resource has 1+ mentions.

http://www.bioconductor.org/packages/devel/bioc/html/ChIPXpress.html

A R package designed to improve ChIP-seq and ChIP-chip target gene ranking using publicly available gene expression data. It takes as input predicted transcription factor (TF) bound genes from ChIPx data and uses a corresponding database of gene expression profiles downloaded from NCBI GEO to rank the TF bound targets in order of which gene is most likely to be functional TF target.

Proper citation: ChIPXpress (RRID:SCR_006653) Copy   


  • RRID:SCR_006724

    This resource has 10000+ mentions.

https://www.promega.com/

An Antibody supplier

Proper citation: Promega (RRID:SCR_006724) Copy   


http://www.nitrc.org/projects/webmill/

Web game that provides an innovative infrastructure for labeling to enable an alternative to expert raters for medical image labeling through statistical analysis of the collaborative efforts of many, minimally-trained raters. Statistical atlases of regional brain anatomy have proven to be extremely useful in characterizing the relationship between the structure and function of the human nervous system. Typically, an expert human rater manually examines each slice of a three-dimensional volume. This approach can be exceptionally time and resource intensive, so cost severely limits the clinical studies where subject-specific labeling is feasible. Methods for improved efficiency and reliability of manual labeling would be of immense benefit for clinical investigation into morphological correlates of brain function.

Proper citation: Web Game for Collaborative Labeling (RRID:SCR_006685) Copy   


  • RRID:SCR_006683

    This resource has 1+ mentions.

https://code.google.com/p/softsearch/

A sensitive structural variant (SV) detection software tool for Illumina paired-end next-generation sequencing data. It simultaneously utilizes soft-clipping and read-pair strategies for detecting SVs to increase sensitivity. Soft clips are proxies for split-reads that indicate part of the read maps to the reference genome, but the other part is not localized at the same place (e.g. breakpoint spanning reads). Discordant read-pairs refer to a read and its mate, where the insert size is greater (or less than) the expected distribution of the dataset ? or ? where the mapping orientation of the reads is unexpected (e.g. both on the same strand). SoftSearch looks for areas with soft-clipping in the genome that have discordant read pairs supporting the anomaly. Once areas with both these conditions are identified, the read and mate information is extracted directly from the BAM file containing the discordant reads, obviating the need for time-consuming and error-prone complex alignment strategies. Only a small number of soft-masked bases discordant read-pairs are necessary to identify an SV, which on their own would not be sufficient to make an SV call, thus highlighting SoftSearch?s improved sensitivity. SoftSearch is well suited to be ?plugged in? to most sequence analysis workflows, since it requires standard file inputs, such as a BAM file using almost any aligner and a reference genome FASTA file. Because SoftSearch requires soft-masked bases, the only requirement is that the aligner must have this functionality, which is usually turned on by default by many standard aligners (e.g. BWA, Novoalign, etc).

Proper citation: SoftSearch (RRID:SCR_006683) Copy   


  • RRID:SCR_006719

    This resource has 1+ mentions.

http://www.nactem.ac.uk/GREC/

A semantically annotated corpus of 240 MEDLINE abstracts (167 on the subject of E. coli species and 73 on the subject of the Human species) intended for training information extraction (IE) systems and/or resources which are used to extract events from biomedical literature. The corpus has been manually annotated with events relating to gene regulation by biologists. Each event is centered on either a verb (e.g. transcribe) or nominalized verb (e.g. transcription) and annotation consists of identifying, as exhaustively as possible, the structurally-related arguments of the verb or nominalized verb within the same sentence. Each event argument is then assigned the following information: * A semantic role from a fixed set of 13 roles which are tailored to the biomedical domain. * A biomedical concept type (where appropriate). The corpus in available for download in 2 formats: * A standoff format, based on the BioNLP'09 Shared Task format * An XML format, based on the GENIA event annotation format

Proper citation: GREC Corpus (RRID:SCR_006719) Copy   


  • RRID:SCR_006714

    This resource has 100+ mentions.

http://www.innatedb.com

Publicly available database of the genes, proteins, experimentally-verified interactions and signaling pathways involved in the innate immune response of humans, mice and bovines to microbial infection. The database captures coverage of the innate immunity interactome by integrating known interactions and pathways from major public databases together with manually-curated data into a centralized resource. The database can be mined as a knowledgebase or used with the integrated bioinformatics and visualization tools for the systems level analysis of the innate immune response. Although InnateDB curation focuses on innate immunity-relevant interactions and pathways, it also incorporates detailed annotation on the entire human, mouse and bovine interactomes by integrating data (178,000+ interactions & 3,900+ pathways) from several of the major public interaction and pathway databases. InnateDB also has integrated human, mouse and bovine orthology predictions generated using Ortholgue software. Ortholgue uses a phylogenetic distance-based method to identify possible paralogs in high-throughput orthology predictions. Integrated human and mouse conserved gene order and synteny information has also been determined to provide further support for orthology predictions. InnateDB Capabilities: * View statistics for manually-curated innate immunity relevant molecular interactions. New manually curated interactions are submitted weekly. * Search for genes and proteins of interest. * Search for experimentally-verified molecular interactions by gene/protein name, interaction type, cell type, etc. * Search genes/interactions belonging to 3,900 pathways. * Visualize interactions using an intuitive subcellular localization-based layout in Cerebral. * Upload your own list of genes along with associated gene expression data (from up to 10 experimental conditions) to interactively analyze this data in a molecular interaction network context. Once you have uploaded your data, you will be able to interactively visualize interaction networks with expression data overlaid; carry out Pathway, Gene Ontology and Transcription Factor Binding Site over-representation analyses; construct orthologous interaction networks in other species; and much more. * Access curated interaction data via a dedicated PSICQUIC webservice.

Proper citation: InnateDB (RRID:SCR_006714) Copy   


  • RRID:SCR_002661

    This resource has 10+ mentions.

http://www07.grants.gov/applicants/find_grant_opportunities.jsp

A source to FIND and APPLY for federal grants. The U.S. Department of Health and Human Services is proud to be the managing partner for Grants.gov, an initiative that is having an unparalleled impact on the grant community. All discretionary grants offered by the 26 federal grant-making agencies can be found on Grants.gov. Grants.gov was established as a governmental resource named the E-Grants Initiative, part of the President's 2002 Fiscal Year Management Agenda to improve government services to the public. The concept has its origins in the Federal Financial Assistance Management Improvement Act of 1999, also known as Public Law 106-107. Public Law 106-107 has since sunset and is now known as the Grants Policy Committee (GPC). For more information on the Grants Policy Committee, click here. Today, Grants.gov is a central storehouse for information on over 1,000 grant programs and provides access to approximately $500 billion in annual awards. You may find information on *What is a Grant? *Who is Eligible for a Grant? *Program highlights and accomplishments *Grants.gov in the News (Articles, press releases, milestones and events) *Program Status (Detailed information about our relationship with partner federal agencies, financial contributions, grant opportunities, fiscal reports, planning strategies and statistics.)

Proper citation: Grants.gov (RRID:SCR_002661) Copy   


  • RRID:SCR_002498

    This resource has 100+ mentions.

http://nipy.org/nibabel/

A Python package for reading and writing a variety of medical and neuroimaging file formats. This includes: ANALYZE (plain, SPM99, SPM2), NIfTI1, as well as MINC. NiBabel is the successor of PyNIfTI.

Proper citation: NiBabel (RRID:SCR_002498) Copy   


http://www.nitrc.org/projects/pythagoras/

Matlab script that uses the Pythagorean Theorem to calculate head motion and position, while preserving degrees of freedom. The motion parameters output by SPM (rp*.txt) estimate head position relative to the first volume in 3D translation and 3D rotation, which are often entered as a nuisance regressor during individual-level statistics. Regressing the total displacement and relative position can potentially explain more variance in voxel-level BOLD signals that is related to head movement during an fMRI experiment.

Proper citation: Pythagorean Displacement and Motion Regressors (RRID:SCR_002525) Copy   


http://www.uasys.edu/

The public university system in Arkansas, USA that includes 4-year institutions, 2-year colleges, and affiliated units for agriculture, public service and criminal justice programs.

Proper citation: University of Arkansas System; Arkansas; USA (RRID:SCR_002564) Copy   


  • RRID:SCR_002558

http://www.altmetric.com/badges.php

A single line of code to add your article pages to include the Altmetric score and donut graphic on your own site with minimal technical effort. Choose from an array of different badge styles, including the colourful and iconic Altmetric donut. Implement article level metrics into your pages in minutes. Their pricing is based on the number of journals you want covered, with significant discounts for larger portfolios. You can try out the badges for free and without any commitment - however, your visitors will only see a subset of activity for each article when they click through. See the technical documentation for details.

Proper citation: Altmetric Badges (RRID:SCR_002558) Copy   


  • RRID:SCR_002554

    This resource has 100+ mentions.

http://www.sdmproject.com/

Statistical method and software for conducting image- and coordinate-based meta-analysis of neuroimaging studies investigating differences in brain activity (e.g. BOLD response in fMRI, metabolism in PET) or structure (e.g. gray matter volume in VBM, voxel-based or TBSS white matter fractional anisotropy in DTI, etcetera).

Proper citation: Signed Differential Mapping (RRID:SCR_002554) Copy   


  • RRID:SCR_002584

    This resource has 10+ mentions.

http://www.bioconductor.org/packages/devel/bioc/html/MBASED.html

Software package containing functions for allele-specific gene expression (ASE) analysis using meta-analysis based allele-specific expression detection.

Proper citation: MBASED (RRID:SCR_002584) Copy   


  • RRID:SCR_002500

    This resource has 10+ mentions.

http://pymzml.github.io/

Python module to parse mzML data in Python based on cElementTree. It is an extension to Python that offers (i) an easy access to mass spectrometry (MS) data that allows the rapid development of tools, (ii) a very fast parser for mzML data and (iii) a set of functions to compare or handle spectra., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: pymzML (RRID:SCR_002500) Copy   


  • RRID:SCR_002621

    This resource has 100+ mentions.

http://bioweb.ensam.inra.fr/esther

Database and tools for analysis of protein and nucleic acid sequences belonging to superfamily of alpha/beta hydrolases homologous to cholinesterases. Covers multiple species, including human, mouse caenorhabditis and drosophila., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: ESTHER (RRID:SCR_002621) Copy   


http://www.auckland.ac.nz/

Public university in New Zealand that offers degrees in areas such as the arts, business, education, medical and health science, and law.

Proper citation: University of Auckland; Auckland; New Zealand (RRID:SCR_002615) Copy   


http://www.ub.edu/web/ub/en/index.html?

Public university in Barcelona, Spain that offers degree programs in social sciences, engineering, and arts and humanities.

Proper citation: University of Barcelona; Barcelona; Spain (RRID:SCR_002575) Copy   


  • RRID:SCR_002603

    This resource has 10+ mentions.

http://www.trianglebiosystems.com/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 14,2026. A biomedical device company focused on developing and manufacturing neural hardware solutions for application in medical research using animals when bio-monitoring, recording and stimulation functions are needed. * Neural Recording Equipment * Neural Stimulation Equipment * Data Acquisition Hardware and Software

Proper citation: Triangle BioSystems (RRID:SCR_002603) Copy   


  • RRID:SCR_002601

    This resource has 1+ mentions.

http://www.nitrc.org/projects/tmma

An open-source software project for distributed Tetrahedral Mesh Modeling and Analysis (TMMA) of multidimensional data. Tetrahedra are 3D, space filling, geometric objects that can be used to form representations and partitions of objects like volumes and shapes obtained from biomedical images (e.g., 3D MRI brain images). Tetrahedra are a natural extension of lines (1D) and surface triangulations (2D) which enable finite element analysis of irregular shapes, and permit a greater range of morphometric characterization of multidimensional objects. A beta version of the program is available for download. Please see the very brief instructions on the "Docs" tab on the left.

Proper citation: TetraMetrix (RRID:SCR_002601) Copy   



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