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http://gmod.org/wiki/Main_Page

A collection of open source software tools for creating and managing genome-scale biological databases. GMOD is made up databases, applications, and adaptor software that connects these components together. You can use it to create a small laboratory database of genome annotations, or a large web-accessible community database. At first GMOD just featured model organisms but now any organism with any kind of sequence associated with it is a good candidate as a subject for a GMOD database. There are GMOD databases with just protein sequence in them, with EST sequence only, those that are concerned primarily with gene expression, and even those dedicated to collections of RNA sequence. They have also heard of GMOD databases for oligonucleotides and plasmids.

Proper citation: Generic Model Organism Database Project (RRID:SCR_001731) Copy   

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http://www.wellcome.ac.uk/

The Wellcome Trust is the largest charity in the UK. We fund innovative biomedical research, in the UK and internationally, spending over 600 million each year to support the brightest scientists with the best ideas. The Wellcome Trust is an independent charity funding research to improve human and animal health. Established in 1936 and with an endowment of around 13 billion, it is the UK's largest non-governmental source of funds for biomedical research. What we do We spend over 600 million every year both in the UK and internationally achieving our mission. Funding We support many different kinds of research and activities with the ultimate aim of protecting and improving human and animal health. This support is not restricted to UK researchers - we devote significant funding to international research too. Biomedical science Our biomedical science funding enables the investigation of health and disease in humans and animals. This includes funding for scientists, clinicians and veterinarians at different career stages. Technology transfer Our technology transfer funding supports the development of innovative, early-stage projects with potential medical applications. Medical humanities Our medical humanities funding supports research into biomedical ethics and the history of medicine. Public engagement Our public engagement funding promotes interest, excitement and debate around science and society. Capital funding Our capital funding is for large-scale construction or refurbishment projects in the UK that support science, public engagement, medical history, or the activities of learned societies. Strategic awards Our Strategic Awards provide flexible funding that adds value to excellent research groups. Managing a grant This area contains information and resources to help you manage a grant once it has been awarded, from the grant-start certificate to the end-of-grant report and beyond. Education Resources Teaching and education Resources to help promote contemporary science in the curriculum and to enable young people to engage with biomedical science. Tree of Life Darwin200 Big Picture Science Learning Centres Scientific animations Creative Encounters Courses and conferences Trust-run conferences, courses and workshops for scientists, historians, ethicists, social scientists, teachers, healthcare professionals and policymakers, held in the UK and overseas. Advanced Courses Scientific conferences Conference centres Retreats History of medicine Biomedical ethics Biomedical resources Tools, databases and information to support different areas of biomedical research, including genomics, post-genomics and developmental biology. Animal research Genomics Model organisms Microorganisms Post-genomics Tissues Researcher support Support and advice for all kinds of engagement activities to help you communicate your work in the most effective and rewarding way possible. About researcher support National opportunities Regional opportunities Highlights Publications Browse a wealth of publications covering all aspects of the work we fund. Wellcome Trust websites Explore a range of sites covering key biomedical topics and our public engagement activities.

Proper citation: Welcome Trust (RRID:SCR_001852) Copy   

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https://wiki.med.harvard.edu/SysBio/Megason/MegaCapture

MegaCapture is a VisualBasic macro developed for automating the acquisition of in toto image sets. It is useable on Zeiss microscopes using LSM v4.x software (pre-Zen). MegaCapture can automatically acquire image sets across any combination of dimensions including x, y, z, time, color, x-tile, y-tile, row, and column. Images are exported on the fly and can be compressed allowing very large (100,000 images) image sets to be captured. Sponsors: MegaCapture is supported by Harvard University.

Proper citation: Harvard Medical School, Department of Systems Biology: The Megason Lab - MegaCapture Software (RRID:SCR_001732) Copy   

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http://tango.crg.es/

A computer algorithm to predict aggregation nucleating regions in proteins as well the effect of mutations and environmental conditions on the aggregation propensity of these regions.

Proper citation: TANGO (RRID:SCR_001770) Copy   

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http://bioinformatics.dreamhosters.com/?page_id=113#Genomic_Protein_Sequence_Analysis

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 10th,2023. An M software package for Clustering 16S rRNA sequences into operational taxonomic units (OTUs). The download link contain the package and some benchmark data sets.

Proper citation: MSClust (RRID:SCR_001773) Copy   

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http://blast.ncbi.nlm.nih.gov/Blast.cgi?PROGRAM=blastx&BLAST_PROGRAMS=blastx&PAGE_TYPE=BlastSearch&SHOW_DEFAULTS=on&LINK_LOC=blasthome

Web application to search protein databases using a translated nucleotide query. Translated BLAST services are useful when trying to find homologous proteins to a nucleotide coding region. Blastx compares translational products of the nucleotide query sequence to a protein database. Because blastx translates the query sequence in all six reading frames and provides combined significance statistics for hits to different frames, it is particularly useful when the reading frame of the query sequence is unknown or it contains errors that may lead to frame shifts or other coding errors. Thus blastx is often the first analysis performed with a newly determined nucleotide sequence and is used extensively in analyzing EST sequences. This search is more sensitive than nucleotide blast since the comparison is performed at the protein level.

Proper citation: BLASTX (RRID:SCR_001653) Copy   

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http://www.exploredti.com/

A graphical toolbox developed in Matlab for exploratory diffusion (tensor) MRI and fiber tractography. It includes diffusion reconstruction approaches, analysis and visualization tools for fiber tractography, atlas based segmentation, and connectivity networks. It also provides a wide range of quality assessment and pre-processing tools. Main features: * Visualization of scalar and vector maps of various diffusion tensor properties * Display of principal diffusion vectors, cuboids, and ellipsoids with several color-encodings * Deterministic (streamline) and 'probabilistic' (wild-bootstrap) fiber tractography * Clustering of fiber tracts * Data quality assessment tools * HARDI reconstructions (Q-ball and spherical deconvolution imaging) * Tract-specific measurements * Tract-segment analysis * Motion / distortion correction (with B-matrix rotation!) * Other cool stuff... (see publication link)

Proper citation: ExploreDTI (RRID:SCR_001643) Copy   

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http://videocast.nih.gov/

VideoCasting of special NIH events, seminars, conferences, meetings and lectures available to viewers on the NIH network and the Internet from the VideoCast web site. VideoCasting is the method of electronically streaming digitally encoded video and audio data from a server to a client. VideoCast is often referred to as streaming video. Streaming files are not downloaded, but rather are broadcast in a manner similar to television broadcasts. The videos are processed by a compression program into a streaming format and delivered in a staggered fashion to minimize impact upon the network and maximize the experience of the content for the viewer. When users request a streaming file they will receive an initial burst of data after a short delay (file latency). While content is being viewed, the streaming server machine and software continues to stream data in such a manner that the viewer experiences no break in the content. CIT can broadcast your seminar, conference or meeting live to a world-wide audience over the Internet as a real-time streaming video. The event can be recorded and made available for viewers to watch at their convenience as an on-demand video or a downloadable podcast. CIT can also broadcast NIH-only or HHS-only content.

Proper citation: NIH VideoCasting (RRID:SCR_001885) Copy   

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https://www.cmtk.org/

A Python-based open source toolkit for magnetic resonance connectome mapping, data management, sharing, visualization and analysis. The toolkit includes the connectome mapper (a full DMRI processing pipeline), a new file format for multi modal data and metadata, and a visualization application.

Proper citation: Connectome Mapping Toolkit (RRID:SCR_001644) Copy   

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http://www.aphidbase.com/aphidbase/

Aphid genome database. Facilitates community annotation of pea aphid genome by International Aphid Genomics Consortium (IAGC). It aims to store recently acquired genomic resources on aphids and compare them to other insect resources as functional annotation tools. AphidBase Information System designed to organize and distribute genomic data and annotations for large international community was constructed using open source software tools from Generic Model Organism Database (GMOD).

Proper citation: APHIDBASE (RRID:SCR_001765) Copy   

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http://astral.berkeley.edu/

It provides databases and tools useful for analyzing protein structures and their sequences. It is partially derived from, and augments the SCOP: Structural Classification of Proteins database, a database created by manual inspection and abetted by a battery of automated methods, aims to provide a detailed and comprehensive description of the structural and evolutionary relationships between all proteins whose structure is known. Most of the resources provided here depend upon the coordinate files maintained and distributed by the Protein Data Bank. Sponsors: This work is supported by grants from the NIH (1-P50-GM62412, 1-K22-HG00056) and the Searle Scholars Program (01-L-116), and by the US Department of Energy under contract DE-AC03-76SF00098.

Proper citation: ASTRAL Compendium for Sequence and Structure Analysis (RRID:SCR_001886) Copy   

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http://cufflinks.cbcb.umd.edu/

Software that estimates expression at transcript-level resolution and controls for variability evident across replicate libraries.

Proper citation: Cuffdiff (RRID:SCR_001647) Copy   

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http://www.nature.com/jcbfm/index.html

The Journal of Cerebral Blood Flow & Metabolism stands at the interface between basic and clinical neurovascular research, and features timely and relevant research highlighting experimental, theoretical, and clinical aspects of brain circulation, metabolism and imaging. The journal is relevant to any physician or scientist with an interest in brain function, cerebrovascular disease, cerebral vascular regulation and brain metabolism, including neurologists, neurochemists, physiologists, pharmacologists, anesthesiologists, neuroradiologists, neurosurgeons, neuropathologists and neuroscientists. On this website, you will find the full text of articles published online weekly, in advance of print, the current issue and an archive of previous issues. You can also find general information about the journal, and more detailed information for readers, authors, referees, librarians, advertisers, and journalists. Most articles are published online before they appear in print. New papers are uploaded weekly to the Advance online publication (AOP) page. The online publication date is specified for each paper; these versions are identical to the printed version in every respect and may be cited using the digital object identifier (DOI).

Proper citation: Journal of Cerebral Blood Flow and Metabolism (RRID:SCR_001769) Copy   

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http://www.aspergillus-genomes.org.uk/

A resource for viewing annotated genes arising from various Aspergillus sequencing and annotation projects, resulting from the merging of Central Aspergillus Data REpository (CADRE) and The Aspergillus Website, which took place in June 2008. The principal role of CADRE is to aid the Aspergillus research community by managing Aspergillus genome data and by providing visualization tools, ranging from relatively simple annotation displays to more complex data integration displays. In contrast, The Aspergillus Website provides a range of information to the medical community (i.e., clinicians, patients and scientists) regarding the genus Aspergillus and the diseases, such as Aspergillosis, that it can cause. CADRE has been implemented using the Ensembl v22 suite. This suite comprises: * a database schema, which has been devised for storing annotated eukaryotic genomes. The schema is implemented with the MySQL relational database management system. * several specialized programming modules for building interfaces (i.e., BioPerl and Ensembl API modules). * a series of programs (i.e., Perl CGI scripts using the API modules) for viewing genomic data within a web browser., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Aspergillus Genomes (RRID:SCR_001880) Copy   

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https://www.metabase.com/

User-contributed list of biological databases available on the internet. Currently there are 1,801 entries, each describing a different database. The databases are described in a semi-structured way by using templates and entries can carry various user comments and annotations. Entries can be searched, listed or browsed by category. The site uses the same MediaWiki technology that powers Wikipedia, The Mediawiki system allows users to participate on many different levels, ranging from authors and editors to curators and designers. MetaBase aims to be a flexible, user-driven (user-created) resource for the biological database community. The main focuses of MetaBase are: * As a basic requirement, MB contains a list of databases, URLs and descriptions of the most commonly used biological databases currently available on the internet. * The system should be flexible, allowing users to contribute, update and maintain the data in different ways. * In the future we aim to generate more communication between the database developer and user communities.

Proper citation: MetaBase (RRID:SCR_001762) Copy   

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http://dti-tk.sourceforge.net/pmwiki/pmwiki.php

A spatial normalization and atlas construction toolkit optimized for examining white matter morphometry using DTI data with special care taken to respect the tensorial nature of the data. It implements a state-of-the-art registration algorithm that drives the alignment of white matter (WM) tracts by matching the orientation of the underlying fiber bundle at each voxel. The algorithm has been shown to both improve WM tract alignment and to enhance the power of statistical inference in clinical settings. A 2011 study published in NeuroImage ranks DTI-TK the top-performing tool in its class. Key features include: * open standard-based file IO support: NIfTI format for scalar, vector and tensor image volumes * tool chains for manipulating tensor image volumes: resampling, smoothing, warping, registration & visualization * pipelines for WM morphometry: spatial normalization & atlas construction for population-based studies * built-in cluster-computing support: support for open source Sun Grid Engine (SGE) * Interoperability with other popular DTI tools: AFNI, Camino, FSL & DTIStudio * Interoperability with ITK-SNAP: support multi-modal visualization and segmentation

Proper citation: Diffusion Tensor Imaging ToolKit (RRID:SCR_001642) Copy   

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http://sourceforge.net/projects/pennseq/

Software for isoform-specific gene expression quantification in RNA-Seq by modeling non-uniform read distribution. Instead of making parametric assumptions, they give adequate weight to the underlying data by the use of a non-parametric approach. The rationale is that regardless what factors lead to non-uniformity, whether it is due to hexamer priming bias, local sequence bias, positional bias, RNA degradation, mapping bias or other unknown reasons, the probability that a fragment is sampled from a particular region will be reflected in the aligned data. This empirical approach thus maximally reflects the true underlying non-uniform read distribution.

Proper citation: PennSeq (RRID:SCR_001763) Copy   

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http://www.hdsa-ne.org/

THIS RESOURCE IS NO LONGER IN SERVICE, documented April 12, 2016. The New England HDSA office provides education, advocacy, support, and care to people with Huntington's Disease and their families throughout New England. It funds research efforts and has an extensive education outreach program.

Proper citation: New England Regional Office HDSA (RRID:SCR_001884) Copy   

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https://physiomeproject.org/

The Physiome Project is a worldwide public domain effort to provide a computational framework for understanding human and other eukaryotic physiology. It aims to develop integrative models at all levels of biological organization, from genes to the whole organism via gene regulatory networks, protein pathways, integrative cell function, and tissue and whole organ structure/function relations. Additionally, an important goal of the project is to develop applications for teaching physiology. Current projects include the development of: - ontologies to organize biological knowledge and access to databases - markup languages to encode models of biological structure and function in a standard format for sharing between different application programs and for re-use as components of more comprehensive models - databases of structure at the cell, tissue and organ levels - software to render computational models of cell function such as ion channel electrophysiology, cell signaling and metabolic pathways, transport, motility, the cell cycle, etc. in 2 & 3D graphical form - software for displaying and interacting with the organ models which will allow the user to move across all spatial scales Sponsors: This project is supported by the International Union of Physiological Sciences (IUPS), the IEEE Engineering. in Medicine and Biology (EMBS), and the International Federation for Medical and Biological Engineering (IFMBE)

Proper citation: International Union of Physiological Sciences: Physiome Project (RRID:SCR_001760) Copy   

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https://david.ncifcrf.gov/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. Bioinformatics resource system including web server and web service for functional annotation and enrichment analyses of gene lists. Consists of comprehensive knowledgebase and set of functional analysis tools. Includes gene centered database integrating heterogeneous gene annotation resources to facilitate high throughput gene functional analysis.

Proper citation: DAVID (RRID:SCR_001881) Copy   

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