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http://www.rostlab.org/cms/

A lab organization which has bases in Munich, Germany and at Columbia University and focuses its research on protein structure and function using sequence and evolutionary information. They utilize machine learning and statistical methods to analyze genetic material and its gene products. Research goals of the lab involve using protein and DNA sequences along with evolutionary information to predict aspects of the proteins relevant to the advance of biomedical research.

Proper citation: ROSTLAB (RRID:SCR_000792) Copy   

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http://www.scienceexchange.com/facilities/macquarie-university

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 23,2023. Set of facilities based out of Macquarie University in New South Wales. Some facilities provide services such as proteome analysis or resources of various academic departments like engineering, biological sciences, and geography.

Proper citation: Macquarie University Labs and Facilities (RRID:SCR_000944) Copy   

•   Source: SciCrunch Registry

http://goldenhelix.com/

Specializes in sequence and array-based SNP and copy number analysis, genetic association software, and analytic services. Their technologies empower scientists to determine the genetic causes of disease, transform drug discovery, develop genetic diagnostics, and advance the quest for personalized medicine.

Proper citation: Golden Helix Incorporated (RRID:SCR_012191) Copy   

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http://bioconductor.org/packages/edgeR/

Bioconductor software package for Empirical analysis of Digital Gene Expression data in R. Used for differential expression analysis of RNA-seq and digital gene expression data with biological replication.

Proper citation: edgeR (RRID:SCR_012802) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/affy.html

Software R package of functions and classes for the analysis of oligonucleotide arrays manufactured by Affymetrix. Used to process probe level data and for exploratory oligonucleotide array analysis.

Proper citation: affy (RRID:SCR_012835) Copy   

•   Source: SciCrunch Registry

Ratings or validation data are available for this resource

http://ccb.jhu.edu/software/tophat/index.shtml

Software tool for fast and high throughput alignment of shotgun cDNA sequencing reads generated by transcriptomics technologies. Fast splice junction mapper for RNA-Seq reads. Aligns RNA-Seq reads to mammalian-sized genomes using ultra high-throughput short read aligner Bowtie, and then analyzes mapping results to identify splice junctions between exons.TopHat2 is accurate alignment of transcriptomes in presence of insertions, deletions and gene fusions.

Proper citation: TopHat (RRID:SCR_013035) Copy   

•   Source: SciCrunch Registry

http://nipy.org

Community site to make brain imaging research easier that aims to build software that is clearly written, clearly explained, a good fit for the underlying ideas, and a natural home for collaboration.

Proper citation: Neuroimaging in Python (RRID:SCR_013141) Copy   

•   Source: SciCrunch Registry

http://PlasmoDB.org

Functional genomic database for malaria parasites. Database for Plasmodium spp. Provides resource for data analysis and visualization in gene-by-gene or genome-wide scale. PlasmoDB 5.5 contains annotated genomes, evidence of transcription, proteomics evidence, protein function evidence, population biology and evolution data. Data can be queried by selecting from query grid or drop down menus. Results can be combined with each other on query history page. Search results can be downloaded with associated functional data and registered users can store their query history for future retrieval or analysis.Key community database for malaria researchers, intersecting many types of laboratory and computational data, aggregated by gene.

Proper citation: PlasmoDB (RRID:SCR_013331) Copy   

•   Source: SciCrunch Registry

https://www.leica-microsystems.com/products/microscope-software/details/product/leica-las-x-ls/

Software for image capture, processing and analysis with Leica fluorescence and confocal microscopes.

Proper citation: Leica Application Suite X (RRID:SCR_013673) Copy   

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http://www.cyto.purdue.edu/flowcyt/software/Winmdi.htm

Software to analyze flow cytometry listmode data files.

Proper citation: WinMDI Software (RRID:SCR_013745) Copy   

•   Source: SciCrunch Registry

http://www.leaddiscovery.co.uk/

LeadDiscovery was founded by life scientists to expedite drug discovery and pharmaceutical development. Based on a solid background of experience from within the pharmaceutical research and development sector, the aim of this resource is to help companies optimize drug discovery and product pipelines through the identification of breaking research and the in depth and expert evaluation of selected therapeutic areas. At the same time it also provides a showcase for pharmaceutical, biotechnology and academic organizations wishing to increase the exposure of their research to the drug development community. LeadDiscovery sits at the center of this sector helping companies to identify commercially viable R&D options from within small biotechs and the public sector. Additionally, it supports the drug discovery and pharmaceutical development community through three key services: DailyUpdates, UpdatesPlus and PharmaReports - DailyUpdates: Launched in 2002 this popular e-mail alert service delivers information on breaking research, new clinical trials, drug development news and recently published market research and pipeline analysis reports. Registration to receive the service is available here - UpdatesPlus: Developed in 2007 as an extension of DailyUpdates, UpdatesPlus provides a monthly in depth analysis of breaking research and development activity in high profile therapeutic areas. - PharmaReports: LeadDiscovery offers a wide range of in depth pharmaceutical reports. It''s reports include market research reports and pipeline analyses. You can search our entire portfolio using LeadDiscovery''s search engine. Alternatively as it are one of the few information providers that has extensive research and development experience, LeadDiscovery occupys a unique position of being able to source reports that accurately meet your needs. If we don''t have a report that fits your requirements, it can produce one through its pharmaceutical consultancy services. LeadDiscovery offers full reports in selected areas of the pharmaceutical and biotech sector. Each of the reports below has been especially selected by LeadDiscovery and categorized into relevant areas: - Oncology - Cancer Immunotherapy - Immunology & Inflammatory Diseases - Infectious Diseases - Psychiatric, Addictive & Sleep Disorders - Pain - Neurodegenerative & Neuroelectrophysiological Disorders - Metabolic & Hormonal Disorders - Cardiovascular Disorders - GenitoUrinary Tract Disorders - Technology - Diagnostics & Devices - Other Theraputic Areas, Pharmaceutical Strategy and Development

Proper citation: LeadDiscovery: Providing Information to the Drug Discovery Sector (RRID:SCR_006464) Copy   

•   Source: SciCrunch Registry

http://www.jalview.org/

A free program for multiple sequence alignment editing, visualisation and analysis that is available in two forms: a lightweight Java applet for use in web applications, and a powerful desktop application that employs web services for sequence alignment, secondary structure prediction and the retrieval of alignments, sequences, annotation and structures from public databases and any DAS 1.53 compliant sequence or annotation server. Use it to view and edit sequence alignments, analyse them with phylogenetic trees and principal components analysis (PCA) plots and explore molecular structures and annotation. Jalview has built in DNA, RNA and protein sequence and structure visualisation and analysis capabilities. It uses Jmol to view 3D structures, and VARNA to display RNA secondary structure.

Proper citation: Jalview (RRID:SCR_006459) Copy   

•   Source: SciCrunch Registry

http://bioconductor.org/packages/bioc/html/GeneAnswers.html

GeneAnswers provide an integrated tool for given genes biological or medical interpretation. It includes statistical test of given genes and specified categories. Microarray techniques have been widely employed in genomic scale studies for more than one decade. The standard analysis of microarray data is to filter out a group of genes from thousands of probes by certain statistical criteria. These genes are usually called significantly differentially expressed genes. Recently, next generation sequencing (NGS) is gradually adopted to explore gene transcription, methylation, etc. Also a gene list can be obtained by NGS preliminary data analysis. However, this type of information is not enough to understand the potential linkage between identified genes and interested functions. The integrated functional and pathway analysis with gene expression data would be very helpful for researchers to interpret the relationship between the identified genes and proposed biological or medical functions and pathways. The GeneAnswers package provides an integrated solution for a group of genes and specified categories (biological or medical functions, such as Gene Ontology, Disease Ontology, KEGG, etc) to reveal the potential relationship between them by means of statistical methods, and make user-friendly network visualization to interpret the results. Besides the package has a function to combine gene expression profile and category analysis together by outputting concept-gene cross tables, keywords query on NCBI Entrez Gene and application of human based Disease ontology analysis of given genes from other species can help people to understand or discover potential connection between genes and functions. Sponsors: This project was supported in part by Award Number UL1RR025741 from the National Center for Research Resources.

Proper citation: GeneAnswers (RRID:SCR_006498) Copy   

•   Source: SciCrunch Registry

http://www.geenivaramu.ee/en/tools/gwama

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software tool for meta analysis of whole genome association data.

Proper citation: GWAMA (RRID:SCR_006624) Copy   

•   Source: SciCrunch Registry

http://www.physionet.org/physiotools/

Growing library of software for physiologic signal processing and analysis, detection of physiologically significant events using both classical techniques and novel methods based on statistical physics and nonlinear dynamics, interactive display and characterization of signals, creation of new databases, simulation of physiologic and other signals, quantitative evaluation and comparison of analysis methods, and analysis of nonequilibrium and nonstationary processes. A unifying theme of the research projects that contribute software to PhysioToolkit is the extraction of hidden information from biomedical signals, information that may have diagnostic or prognostic value in medicine, or explanatory or predictive power in basic research. Contributions of software to PhysioToolkit are welcome, http://physionet.org/guidelines.shtml#software-contributions

Proper citation: PhysioToolkit (RRID:SCR_006868) Copy   

•   Source: SciCrunch Registry

http://genomejack.net/

A genome browser specialized in next-generation sequencing data.

Proper citation: GenomeJack (RRID:SCR_012026) Copy   

•   Source: SciCrunch Registry

http://www.GeneWeaver.org

Freely accessible phenotype-centered database with integrated analysis and visualization tools. It combines diverse data sets from multiple species and experiment types, and allows data sharing across collaborative groups or to public users. It was conceived of as a tool for the integration of biological functions based on the molecular processes that subserved them. From these data, an empirically derived ontology may one day be inferred. Users have found the system valuable for a wide range of applications in the arena of functional genomic data integration.

Proper citation: Gene Weaver (RRID:SCR_003009) Copy   

•   Source: SciCrunch Registry

http://seer.cancer.gov/resources/

Portal provides SEER research data and software SEER*Stat and SEER*Prep. SEER incidence and population data associated by age, sex, race, year of diagnosis, and geographic areas can be used to examine stage at diagnosis by race/ethnicity, calculate survival by stage at diagnosis, age at diagnosis, and tumor grade or size, determine trends and incidence rates for various cancer sites over time. SEER releases new research data every Spring based on the previous November’s submission of data.

Proper citation: SEER Datasets and Software (RRID:SCR_003293) Copy   

•   Source: SciCrunch Registry

http://nipy.org/nitime/

Software library for time-series analysis of data from neuroscience experiments. It contains a core of numerical algorithms for time-series analysis both in the time and spectral domains, a set of container objects to represent time-series, and auxiliary objects that expose a high level interface to the numerical machinery and make common analysis tasks easy to express with compact and semantically clear code.

Proper citation: Nitime (RRID:SCR_002504) Copy   

•   Source: SciCrunch Registry

https://www.ncbi.nlm.nih.gov/geo/

Functional genomics data repository supporting MIAME-compliant data submissions. Includes microarray-based experiments measuring the abundance of mRNA, genomic DNA, and protein molecules, as well as non-array-based technologies such as serial analysis of gene expression (SAGE) and mass spectrometry proteomic technology. Array- and sequence-based data are accepted. Collection of curated gene expression DataSets, as well as original Series and Platform records. The database can be searched using keywords, organism, DataSet type and authors. DataSet records contain additional resources including cluster tools and differential expression queries.

Proper citation: Gene Expression Omnibus (GEO) (RRID:SCR_005012) Copy   

•   Source: SciCrunch Registry