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http://www.scienceexchange.com/facilities/genomics-core-facility-brown

Provides genomics and proteomics equipment to researchers at Brown University and to entire Rhode Island research community, as well as assistance with experimental design, trouble shooting, and data analysis. Offers Affymetrix microarray and Illumina NextGeneration services to academic community and external customers.

Proper citation: Brown University Genomics Core Facility (RRID:SCR_012217) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/nnin-nano-research-facility-wustl

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 15,2024. Nano Research Facility (NRF) at Washington University in St. Louis is a NNIN nodal facility supported by the National Science Foundation. It cultivates an open, shared research, and education environment that brings researchers across disciplines together, particularly in the emerging area of nanomaterials with applications in the energy, environment, and biomedical fields. The mission is to be a resource to the scientific and technical community for the advancement of nanoscience and nanotechnology in a safe and environmentally benign manner. NRF includes a micro- and nano-fabrication lab (clean room), surface characterization lab, particle technology lab, and imaging lab with a focus on bio-imaging. NRF provides unique technical expertise in: Knowledge-based synthesis of nanostructured materials Particle instrumentation tools for toxicity studies Non-invasive imaging modalities for biological applications Clean Energy Applications Energy and Environmental nanotechology Environmental Health and Safety As a member of the National Nanotechnology Infrastructure Network (NNIN), supported by the National Science Foundation, NRF is available to both academic and industrial users nation-wide and across the globe.

Proper citation: WUSTL NNIN - Nano Research Facility (RRID:SCR_012674) Copy   

•   Source: SciCrunch Registry

https://github.com/kharchenkolab/conos

Software R package for joint analysis of multiple single-cell RNA-seq datasets. Used to wire together large collections of single-cell RNA-seq datasets, which allows for both identification of recurrent cell clusters and propagation of information between datasets in multi-sample or atlas-scale collections.

Proper citation: Conos (RRID:SCR_026381) Copy   

•   Source: SciCrunch Registry

https://github.com/compgenomics/MeTPeak

Software package for finding the location of m6A sites in MeRIP-seq data.

Proper citation: MeTPeak (RRID:SCR_026533) Copy   

•   Source: SciCrunch Registry

https://github.com/YuningHao/FARDEEP

Software R tool for enumerating immune cell subsets from whole tumor tissue samples. Utilizes adaptive least trimmed square to automatically detect and remove outliers before estimating cell compositions.

Proper citation: FARDEEP (RRID:SCR_026704) Copy   

•   Source: SciCrunch Registry

https://github.com/DerrickWood/kraken2

Software tool as second version of Kraken taxonomic sequence classification system.

Proper citation: kraken2 (RRID:SCR_026838) Copy   

•   Source: SciCrunch Registry

https://github.com/KrishnaswamyLab/PHATE

Software tool for visualizing high dimensional data using novel conceptual framework for learning and visualizing manifold to preserve both local and global distances.

Proper citation: PHATE (RRID:SCR_027119) Copy   

•   Source: SciCrunch Registry

https://bioinformatics.sdstate.edu/idep/

Integrated web application for differential expression and pathway analysis of RNA-Seq data.

Proper citation: iDEP: Integrated Differential Expression and Pathway analysis (RRID:SCR_027373) Copy   

•   Source: SciCrunch Registry

https://venomsbase-dashboard.shinyapps.io/VenomLanding/

Open-access, browser-based visualization and summary tool for venom transcriptomic and proteomic data. R Shiny–based interactive application designed as visualization and reporting interface for venom transcriptomic and proteomic data. It enables users to explore annotation metrics, toxin gene families, and quality-control summaries generated by analysis pipelines. While it will eventually serve as part of the VenomsBase front end, VenomView currently operates as standalone prototype. Provides interactive dashboards showing assembly quality, annotation scores, toxin gene families, and functional domains generated by the VenomFlow analysis pipeline. Connected to VenomLanding, VenomView currently features Doryteuthis pealeii (Squid), linking metadata with detailed annotation summaries. The expanded version will include Sepia bandensis (Cuttlefish), Octopus bimaculoides, and arachnid species.

Proper citation: VenomView (RRID:SCR_027588) Copy   

•   Source: SciCrunch Registry

https://github.com/pyranges/ncls

Software library for nested containment list data structure for interval overlap queries, like interval tree. It is a static interval-tree that is fast for both construction and lookups.

Proper citation: Nested containment list (RRID:SCR_027849) Copy   

•   Source: SciCrunch Registry

https://github.com/McGranahanLab/TcellExTRECT

Software R package to calculate T cell fractions from WES data from hg19 or hg38 aligned genomes.

Proper citation: T Cell ExTRECT (RRID:SCR_027742) Copy   

•   Source: SciCrunch Registry

https://github.com/vanallenlab/comut

Software Python library for creating comutation plots to visualize genomic and phenotypic information. Used for visualizing genomic and phenotypic information via comutation plots.

Proper citation: CoMUT (RRID:SCR_027745) Copy   

•   Source: SciCrunch Registry

http://www.internano.org/

Database and knowledge base of techniques for processing nanoscale materials, devices, and structures that includes step-by-step descriptions, images, notes on methodology and environmental variables, and associated references and patent information. The purpose of the Process Database is to facilitate the sharing of appropriate process knowledge across laboratories.The processes included here have been previously published or patented

Proper citation: InterNano Process Database (RRID:SCR_013719) Copy   

•   Source: SciCrunch Registry

http://www.poissonboltzmann.org/apbs/

APBS is a software package for modeling biomolecular solvation through solution of the Poisson-Boltzmann equation (PBE), one of the most popular continuum models for describing electrostatic interactions between molecular solutes in salty, aqueous media. APBS was designed to efficiently evaluate electrostatic properties for such simulations for a wide range of length scales to enable the investigation of molecules with tens to millions of atoms. It also provides implicit solvent models of nonpolar solvation which accurately account for both repulsive and attractive solute-solvent interactions. APBS uses FEtk (the Finite Element ToolKit) to solve the Poisson-Boltzmann equation numerically. FEtk is a portable collection of finite element modeling class libraries written in an object-oriented version of C. It is designed to solve general coupled systems of nonlinear partial differential equations using adaptive finite element methods, inexact Newton methods, and algebraic multilevel methods.

Proper citation: Adaptive Poisson-Boltzmann Solver (RRID:SCR_008387) Copy   

•   Source: SciCrunch Registry

http://wiki.c2b2.columbia.edu/honiglab_public/index.php/Software:Jackal

Jackal is a collection of programs designed for the modeling and analysis of protein structures. Its core program is a versatile homology modeling package. It contains twelve individual programs, each with their own function.

Proper citation: Jackal (RRID:SCR_008665) Copy   

•   Source: SciCrunch Registry

http://sobekrepository.org/

Digital repository software written in C# / ASP.net for powering digital libraries in a Windows server environment. Standards-based repository keeps all files in METS/MODS packages. Several related applications are available as well and the libraries can work independently as great digital library resources. SobekCM allows users to discover online resources via semantic and full-text searches, as well as a variety of different browse mechanisms. For each digital resource in the repository there are a plethora of display options, which may be selected by an appropriately authenticated use. This repository includes online metadata editing and online submissions in support of institutional repositories.

Proper citation: SobekCM (RRID:SCR_003225) Copy   

•   Source: SciCrunch Registry

http://compgen.bscb.cornell.edu/phast/

A freely available software package for comparative and evolutionary genomics that consists of about half a dozen major programs, plus more than a dozen utilities for manipulating sequence alignments, phylogenetic trees, and genomic annotations. For the most part, PHAST focuses on two kinds of applications: the identification of novel functional elements, including protein-coding exons and evolutionarily conserved sequences; and statistical phylogenetic modeling, including estimation of model parameters, detection of signatures of selection, and reconstruction of ancestral sequences. It consists of over 60,000 lines of C code.

Proper citation: PHAST (RRID:SCR_003204) Copy   

•   Source: SciCrunch Registry

http://www.agcol.arizona.edu/software/tcw/

Software package for assembling, annotating, querying, and comparing transcript and expression level data that consists of two parts: * singleTCW (sTCW): Single transcript sets or assemblies; annotation; differential expression (EdgeR, DEGSeq, DESeq, GoSeq) * multiTCW (mTCW): Comparison of multiple transcript sets; ortholog grouping (e.g., OrthoMCL) It has been tested on Linux and uses Java, mySQL and optionally R.

Proper citation: TCW (RRID:SCR_001875) Copy   

•   Source: SciCrunch Registry

http://www.incf.org/

Independent international facilitator catalyzing and coordinating global development of neuroinformatics aiming to advance data reuse and reproducibility in global brain research. Integrates and analyzes diverse data across scales, techniques, and species to understand brain function and positively impact the health and well being of society.

Proper citation: International Neuroinformatics Coordinating Facility (RRID:SCR_002282) Copy   

•   Source: SciCrunch Registry

http://www.stanford.edu/group/brainsinsilicon/neurogrid.html

A specialized hardware platform that will perform cortex-scale emulations while offering software-like flexibility. With sixteen 12x14 sq-mm chips (Neurocores) assembled on a 6.5x7.5 sq-in circuit board that can model a slab of cortex with up to 16x256x256 neurons - over a million! The chips are interconnected in a binary tree by 80M spike/sec links. An on-chip RAM (in each Neurocore) and an off-chip RAM (on a daughterboard, not shown) softwire vertical and horizontcal cortical connections, respectively. It provides an affordable option for brain simulations that uses analog computation to emulate ion-channel activity and uses digital communication to softwire synaptic connections. These technologies impose different constraints, because they operate in parallel and in serial, respectively. Analog computation constrains the number of distinct ion-channel populations that can be simulatedunlike digital computation, which simply takes longer to run bigger simulations. Digital communication constrains the number of synaptic connections that can be activated per secondunlike analog communication, which simply sums additional inputs onto the same wire. Working within these constraints, Neurogrid achieves its goal of simulating multiple cortical areas in real-time by making judicious choices.

Proper citation: Neurogrid (RRID:SCR_005024) Copy   

•   Source: SciCrunch Registry