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http://www.e-cell.org/

Software platform, general technologies and theoretical supports for computational biology with the grand aim to make precise whole cell simulation at the molecular level possible.Technologies include formalisms and techniques, including technologies to predict, obtain or estimate parameters such as reaction rates and concentrations of molecules in the cell. The E-Cell System is a software platform for modeling, simulation and analysis of complex, heterogeneous and multi-scale system like the cell. The E-Cell Project is open to anyone who shares the view with u that development of cell simulation technology, and, even if such ultimate goal might not be within ten years of reach yet, solving various conceptual, computational and experimental problems that will continue to arise in the course of pursuing it, may have a multitude of eminent scientific, medical and engineering impacts on our society.

Proper citation: Electronic Cell Project (RRID:SCR_007381) Copy   

•   Source: SciCrunch Registry

http://www.bitplane.com/go/products/autoaligner

Microtomy is a standard technique used for 2D microscopy, but it can also provide the foundation for 3D analysis using AutoAligner. AutoAligner reads a stack of serial sections and automatically aligns the single images, building up a 3D space that can be explored using Imaris. Each image is aligned in translation and rotation relative to its precursor image in the sequence. In addition to a fully automated mode, AutoAligner also provides manual control for neighboring images that are too different from each other for automatic alignment. The visual alignment tool uses fast display techniques for aligning images in real time.

Proper citation: Autoaligner (RRID:SCR_007355) Copy   

•   Source: SciCrunch Registry

http://www.fmritools.org/Activ2000/activ2000.htm

Data analysis software with the following main features: fMRI spatial and temporal pre-processing (gaussian filtering) with motion correction, time slicing and template co-registration ; fMRI multithreaded bloc processing with one or more conditions (up to 999), lateralization index, paradigm design (box-car style with HRF convolution), anatomic coregistration, multiplanar reconstructions, opengl 3D surfacic rendering. DPTools and Activ 2000 are now one single software: DPTools v 3.0 and above. All the features already included in DPTools are available for the fMRI processings (statistics, motion correction, time slicing, aso). DPTools 3.0 can read Siemens Mosaic and Philips REC/PAR files for diffusion / dynamic series, and can export files to SPM99 format. Features: * Images Conversion * Paradigm Creation * Images Pre-Processing * Images Processing * Statistics * Co-registration * 3D * Filming * Loading / Saving * Batch Script * PACS Integration * and more... Activ 2000 is freely downloadable (46 MB)

Proper citation: Activ 2000 (RRID:SCR_007352) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/fiswidgets/

A set of Java libraries for rapidly creating GUIs for software modules (C, C++, Fortan, PERL scripts, etc.), and graphically controlling process flow among them. This allows a GUI to be created for existing image processing and analysis routines, which provides: 1) graphic elements for setting parameters, arguments, etc. (i.e., text dialogs, file browsers, etc.); 2) links to web based documentation; 3) simple point-and-click interface for setting up a path for data flow from one module to another. The purpose of FisWidgets is to provide an integrated and user-friendly environment for using the disparate and growing array of image processing and analysis tools created by different laboratories.

Proper citation: FisWidgets (RRID:SCR_007367) Copy   

•   Source: SciCrunch Registry

http://ideas.repec.org/c/boc/bocode/s360702.html

COLELMS calculates LMS values, smoothed LMS, and growth reference centiles based in smoothed LMS values. df value is set to when calculating smoothed LMS values. You are responsible for setting an appropriate df for your data. This is version 0.2 of the software. Sponsors: This resource is supported by Boston College. Keywords: Software, LMS, Calculation, Growth, Data, Stata, Module,

Proper citation: COLELMS: Stata module to calculate Coles LMS values for growth data (RRID:SCR_007244) Copy   

•   Source: SciCrunch Registry

https://cran.r-project.org/web/packages/tdthap/index.html

Software package for TDT with extended haplotypes in the R language. R is the public domain dialect of S. It should be possible to port this library to the commercial Splus product. The main problem would be translation of the help files. (entry from Genetic Analysis Software)

Proper citation: R/TDTHAP (RRID:SCR_007625) Copy   

•   Source: SciCrunch Registry

http://thomsonreuters.com/metacore/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 17, 2022. An integrated software suite for functional analysis of experimental data. The scope of data types includes microarray and SAGE gene expression, SNPs and CGH arrays, proteomics, metabolomics, pathway analysis, Y2H and other custom interactions. MetaCore is based on a proprietary manually curated database of human protein-protein, protein-DNA and protein compound interactions, metabolic and signaling pathways and the effects of bioactive molecules in gene expression.

Proper citation: MetaCore (RRID:SCR_008125) Copy   

•   Source: SciCrunch Registry

http://qiime.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 23,2023.Software package for comparison and analysis of microbial communities, primarily based on high-throughput amplicon sequencing data, but also supporting analysis of other types of data. QIMME analyzes and transforms raw sequencing data generated on Illumina or other platforms to publication quality graphics and statistics.

Proper citation: QIIME (RRID:SCR_008249) Copy   

•   Source: SciCrunch Registry

http://ompc.juricap.com

OMPC aims to enable reuse of the huge open and free code base of MATLAB on a free and faster growing Python platform. Running Python and MATLAB in a single interpreter avoids issues with running two separate applications. Python adds general purpose programming libraries to the convenient syntax of the language of technical computing. OMPC is not an interpreter, it lets Python to do the work. This means that if Python gets faster OMPC gets faster too. OMPC translates the m-files preserving the structure of the original programs as much as possible. Although OMPC comes with a library that emulates the features of numerical array of MATLAB there is nothing that will stop you from running the translated code the way you like it. This means that you could run the OMPC generated code on IronPython, Jython, PyPy or whatever else if you write your own numerical class. Sponsors: This resource is supported by RIKEN Brain Science Institute.

Proper citation: An Open-Source MATLAB-to-Python Compiler (RRID:SCR_008409) Copy   

•   Source: SciCrunch Registry

http://tnprc.tulane.edu

Center focused on understanding human health problems, including infectious diseases that require the use of nonhuman primates to develop diagnostics, therapeutics and preventive strategies. Primary research interests include developing vaccines, treatments and diagnostic tools for infectious diseases such as AIDS, tuberculosis, CMV, COVID-19, Lyme disease, and malaria. TNPRC has both biosafety level 2 and biosafety level 3 laboratories facilities to accommodate various research needs, and is the only National Primate Research Center with Regional Biosafety Laboratory.

Proper citation: Tulane National Biomedical Research Center (RRID:SCR_008167) Copy   

•   Source: SciCrunch Registry

http://sig.biostr.washington.edu/projects/fm/FME/index.html

The Foundational Model Explorer (FME) is an internet based software application developed for viewing the content and organization of the Foundational Model of Anatomy Ontology (FMA). The initial purpose of the FME was to provide a simple and intuitive interface to the FMA for domain experts, in the field of anatomy, participating in the evaluation of the FMA. The FME also provides an easily available method of exploring the FMA to individuals or groups considering the adoption of the Foundational Model of Anatomy knowledge base. The FME display consists of two panes: a hierarchical tree may be opened up in the pane on the left side; if a class is selected in the hierarchical tree, the pane on the right side displays the information that has been entered in the FMA for that class. The information associated with a given class is organized in so-called slots. Each slot has a name (e.g., Definition, Parts) and some content, which is that particular slots value (e.g., the English definition and the names of parts of the selected class, respectively). For an explanation of the interactive features of the FME, see the Knowledge Navigation Section. For a guided tutorial check out the Conducted Tour. In the left pane, the default tree is a subclass hierarchy, based on the -is a- or -kind of- relationship; it is the instantiation of the Anatomy taxonomy (At) component in the high level scheme of the Foundational Model of Anatomy. Apart from the slots Preferred Name and Synonyms, other slots relate to the Anatomical Structural Abstraction (ASA) component in the FMAs high level scheme. Hierarchies based on various part-whole relationships can also be opened up in the left pane. Once a class has been highlighted in the subclass hierarchy, you can choose a relationship from a drop down list labeled Select navigation tree type. Some other transitive relationships (e.g., -branch of- and -tributary of-) are also available. The Search facility matches a search term to the preferred name, as well as to the Latin name, or synonym of an FMA class (if such exist). The tree is expanded to reveal the matching class and the information about this class is displayed. The wildcard * is allowed in the search term and will match to any sequence of characters. For example the search term h*d matches the class names Head and Hepatic cord (amongst others). The search function is not case sensitive. If more than one class name matches with the search term, a list of matching terms is presented for the user to choose between.

Proper citation: Foundational Model Explorer (RRID:SCR_008189) Copy   

•   Source: SciCrunch Registry

http://genewindow.nci.nih.gov/

Software tool for pre- and post-genetic bioinformatics and analytical work, developed and used at the Core Genotyping Facility (CGF) at the National Cancer Institute. While Genewindow is implemented for the human genome and integrated with the CGF laboratory data, it stands as a useful tool to assist investigators in the selection of variants for study in vitro, or in novel genetic association studies. The Genewindow application and source code is publicly available for use in other genomes, and can be integrated with the analysis, storage, and archiving of data generated in any laboratory setting. This can assist laboratories in the choice and tracking of information related to genetic annotations, including variations and genomic positions. Features of GeneWindow include: -Intuitive representation of genomic variation using advanced web-based graphics (SVG) -Search by HUGO gene symbol, dbSNP ID, internal CGF polymorphism ID, or chromosome coordinates -Gene-centric display (only when a gene of interest is in view) oriented 5 to 3 regardless of the reference strand and adjacent genes -Two views, a Locus Overview, which varies in size depending on the gene or genomic region being viewed and, below it, a Sequence View displaying 2000 base pairs within the overview -Navigate the genome by clicking along the gene in the Locus Overview to change the Sequence View, expand or contract the genomic interval, or shift the view in the 5 or 3 direction (relative to the current gene) -Lists of available genomic features -Search for sequence matches in the Locus Overview -Genomic features are represented by shape, color and opacity with contextual information visible when the user moves over or clicks on a feature -Administrators can insert newly-discovered polymorphisms into the Genewindow database by entering annotations directly through the GUI -Integration with a Laboratory Information Management System (LIMS) or other databases is possible

Proper citation: GeneWindow (RRID:SCR_008183) Copy   

•   Source: SciCrunch Registry

http://nsdl.org/

NSDL is a digital library of exemplary resource collections and services, organized in support of science education at all levels. Starting with a partnership of NSDL-funded projects, NSDL is emerging as a center of innovation in digital libraries as applied to education, and a community center for groups focused on digital-library-enabled science education. The National Science Digital Library (NSDL) was created by the National Science Foundation to provide organized access to high quality resources and tools that support innovations in teaching and learning at all levels of science, technology, engineering, and mathematics (STEM) education. As a national network of learning environments, resources, and partnerships, NSDL seeks to serve a vital role as STEM educational cyberlearning for the nation, meeting the informational and technological needs of educators and learners at all levels. Educators need efficient and reliable methods to discover and use science and math materials that help them meet the demands of instruction, assessment, and professional development in an increasingly complex technology-based world. NSDL provides an organized point of access to: -High-quality STEM content aggregated from a variety of other digital libraries, NSF-funded projects, and NSDL-reviewed web sites. -Services and tools that enhance the use of this content in a variety of contexts. NSDL is designed primarily for K-16 educators, but anyone can access NSDL.org and search the library at no cost. Access to most resources discovered through NSDL is free; however, some content providers may require a login, or a nominal fee or subscription to retrieve their specific resources. NSDL serves as a nexus for educators, researchers, policy makers and the public by building bridges: -Between private sector and public interests by providing access to resources such as publisher'' journal articles, teacher-created lesson plans and real-time data sets from scientists -Between the scientific, research and educational communities by applying advanced technologies to stimulate new ways for educators and learners to access and use scientific information -Between teachers and learners at all levels, in all locations by supplying content and tools in open-access, non-proprietary formats in an easily accessible online environment. Sponsors: This work supported by the National Science Foundation under Grant No. 0733600, Grant No. 0424671, Grant No. 0227648, Grant No. 0227656, and Grant No. 0227888.

Proper citation: NSDL: The National Science Digital Library (RRID:SCR_008215) Copy   

•   Source: SciCrunch Registry

https://ethowatcher.paginas.ufsc.br/

Software tool for behavioral and video tracking analysis in laboratory animals. Used to support detailed ethography, video tracking, and extraction of kinematic variables from digital video files of laboratory animals.

Proper citation: EthoWatcher (RRID:SCR_021504) Copy   

•   Source: SciCrunch Registry

https://github.com/arnefmeyer/mousecam

Software Python package with functions for extracting and analyzing data recorded using camera system.Used to monitor behaviors including eye position, whisking, and ear movements in unrestrained animals.Can be mounted in combination with neural implants for recording brain activity.

Proper citation: Mousecam (RRID:SCR_021503) Copy   

•   Source: SciCrunch Registry

https://github.com/kostkalab/scds

Software R package for computational doublet annotation of single cell RNA sequencing data. Software tool for in silico identification of doublets in scRNA-seq data.

Proper citation: Single Cell Doublet Scoring (RRID:SCR_021541) Copy   

•   Source: SciCrunch Registry

https://spikeforest.flatironinstitute.org/about

Open source and reproducible software suite that benchmarks performance of automated spike sorting algorithms across extensive, curated database of ground truth electrophysiological recordings, displaying results interactively on continuously updating website.

Proper citation: Spike Forest (RRID:SCR_021532) Copy   

•   Source: SciCrunch Registry

https://github.com/MouseLand/facemap

Software toolbox for unsupervised video analysis of rodent behavior.Used for videographic processing of head fixed rodent behavior.

Proper citation: FaceMap (RRID:SCR_021513) Copy   

•   Source: SciCrunch Registry

https://github.com/yorambenshaul/optimouse

Software tool for analysis of mouse position data.Open source software to analyze positions of individual mice, specifically their nose positions, in behavioral arena with the goal of minimizing error.

Proper citation: Optimouse (RRID:SCR_021527) Copy   

•   Source: SciCrunch Registry

https://www.nature.com/articles/srep16171#Sec20

Open source program for semi automated analysis of movement and cognitive testing in rodents. Accurately quantifies numerous parameters of movement including travel distance, speed, turning, stationary fraction and laterality. Part of MouseMove system.

Proper citation: MouseMove (RRID:SCR_021618) Copy   

•   Source: SciCrunch Registry