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

Software providing an AJAX-based web browser for visualizing and analyzing transcriptome assemblies and contigs.

Proper citation: Cbrowse (RRID:SCR_000044) Copy   

•   Source: SciCrunch Registry
  

http://www.imrser.org/

The Institute for Magnetic Resonance Safety, Education, and Research (IMRSER) was formed in response to the growing need for information and research on matters pertaining to magnetic resonance (MR) safety. The IMRSER is the first independent, multidisciplinary, professional organization devoted to promoting awareness, understanding, and communication of MR safety issues through education and research. Mission Statement To promote awareness and understanding of MR safety, To disseminate information regarding current and emerging MR safety issues, To develop and provide materials and resources to facilitate MR safety-related education and training, To respond to critical MR safety issues with a sense of urgency, and To advance the field of MR safety through support of scientific research. Functions and activities of the IMRSER include development of up-to-date MR safety materials and dissemination of this information to the MR community. This is accomplished predominantly through the efforts of the Advisory Boards. Members of the Advisory Boards of the Institute for Magnetic Resonance Safety, Education, and Research (IMRSER) are charged with creating recommendations, guidelines, position papers, and educational materials pertaining to existing or emerging MR safety issues. This is achieved by utilizing the pertinent peer-reviewed literature and by relying on each members extensive clinical, research, or other appropriate experience. Notably, documents developed by the IMRSER incorporate MR safety guidelines and recommendations created by the International Society for Magnetic Resonance in Medicine (ISMRM), the American College of Radiology (ACR), the Food and Drug Administration (FDA), the National Electrical Manufacturers Association (NEMA), the Medical Devices Agency (MDA), the International Electrotechnical Commission (IEC), and other similar organizations. The IMRSERs rigorous development and review process for MR safety documents ensures that authoritative and relevant information is produced in a timely manner for rapid dissemination to the MR community. The MR safety information is provided to MR healthcare professionals and others as hard copy and electronic publications. Additionally, this information is posted on the IMRSER web site as well as on www.MRIsafety.com (currently with over 92,000 registered users). The Institute for Magnetic Resonance Safety, Education, and Research permits all members of the MR community to use the MRI Safety Guidelines posted on this web site. Please be sure to read and understand our disclaimer.

Proper citation: Institute for Magnetic Resonance Safety, Education and Research (RRID:SCR_000039) Copy   

•   Source: SciCrunch Registry
  

https://trialweb.dcri.duke.edu/tads/index.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 16,2023. Multi-site clinical research study examining the short- and long-term effectiveness of an antidepressant medication and psychotherapy alone and in combination for treating depression in adolescents ages 12 to 17. For teens treated in TADS, the trial is designed to provide best-practice practical care for depression.

Proper citation: TADS - Treatment for Adolescents with Depression Study (RRID:SCR_000037) Copy   

•   Source: SciCrunch Registry
  

http://gst.tennessee.edu/

Graduate School of Genome Science and Technology (GST) is a Life Science graduate program founded on two premises. First, whole-genome sequences and related large-scale datasets have transformed how we perform biological research, a trend that is gathering momentum and is anticipated to frame the way the biology research is accomplished for many years to come. Second, advances in technology, whether at the level of instrumentation, computation, or wet lab reagents, have long been a powerful driving force in biology. The GST program is home to faculty mentors from many walks of life. The virulence factors of pathogenic fungi and the engineering of photosynthetic reaction complexes for bioenergy harvesting are just two examples from the cornucopia of research projects being pursued in GST.

Proper citation: University of Tennessee Genome Science and Technology Graduate Program (RRID:SCR_000038) Copy   

•   Source: SciCrunch Registry
  

http://sourceforge.net/projects/rnaseqvariantbl/

Open source software tool that simulates experimental RNA-seq and DNA whole exome sequences derived from reference genome, aligns these sequences by custom parameters, detects variants and outputs blacklist of positions and alleles caused by mismapping. Used to characterize mappability of RNA-Seq reads and create blacklist of genomic positions of mismapped reads. This blacklist is used to filter potential false positives from variant or RNA editing calls.

Proper citation: BlackOPs (RRID:SCR_000032) Copy   

•   Source: SciCrunch Registry
  

http://sw-tools.pdb.org/index.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Information Portal to Biological Macromolecular Structures provides variety of software tools made available through the RCSB. These tools include: data extraction and deposition preparation tools, data format conversion and validation tools, data parsing tools, dictionary and data management tools, visualization tools that support PDBx/mmCIF, and other PDBx/mmCIF software library tools.

Proper citation: RCSB PDB Software Tools (RRID:SCR_000035) Copy   

•   Source: SciCrunch Registry
  

http://www.bioconductor.org/packages/release/data/annotation/html/RmiR.Hs.miRNA.html

Software package for various databases of microRNA Targets.

Proper citation: RmiR.Hs.miRNA (RRID:SCR_000101) Copy   

•   Source: SciCrunch Registry
  

http://www.genetex.com/

An antibody supplier for the purposes of life science and biomedical research. This company has a wide variety of immunological reagents that focus on areas of research such as cancer, cell biology, epigenetics, immunology and infectious diseases.

Proper citation: GeneTex (RRID:SCR_000069) Copy   

•   Source: SciCrunch Registry
  

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

Software that predicts fusion transcripts and associated CGRs from matched RNA-seq and Whole Genome Shotgun Sequencing (WGSS).

Proper citation: nFuse (RRID:SCR_000066) Copy   

•   Source: SciCrunch Registry
  

http://code.google.com/p/gasv/

Software tool for identifying structural variants (SVs) from paired-end sequencing data.GASV distribution includes three components that are typically run in succession: the BAM file of unique paired-read mappings is processed; structural variants are identified by clustering discordant fragments; and a probabilistic algorithm improves the specificity of GASV predictions.

Proper citation: GASV (RRID:SCR_000061) Copy   

•   Source: SciCrunch Registry
  

http://sourceforge.net/projects/chipmeta/

Software using a Hierarchical hidden Markov model for jointly analyzing ChIP-chip and ChIP-seq datasets.

Proper citation: ChIPmeta (RRID:SCR_000054) Copy   

•   Source: SciCrunch Registry
  

https://github.com/SciLifeLab/facs

Software for classification of Sequences using Bloom filters that can accurately and rapidly align sequences to a reference sequence.

Proper citation: FACS (RRID:SCR_000055) Copy   

•   Source: SciCrunch Registry
  

http://sourceforge.net/projects/batman-seq/

A fast BWT-based short reads mapping tools which uses additional statistical method to model error profile of the sequencing experiment.

Proper citation: Batman-Seq (RRID:SCR_000048) Copy   

•   Source: SciCrunch Registry
  

http://headit.ucsd.edu

Platform for sharing, download, and re-analysis or meta-analysis of sophisticated, fully annotated, human electrophysiological data sets. It uses EEG Study Schema (ESS) files to provide task, data collection, and subject metadata, including Hierarchical Event Descriptor (HED) tag descriptions of all identified experimental events. Visospatial task data also available from, http://sccn.ucsd.edu/eeglab/data/headit.html: A 238-channel, single-subject EEG data set recorded at the Swartz Center, UCSD, by Arnaud Delorme, Julie Onton, and Scott Makeig is al.

Proper citation: HeadIT (RRID:SCR_005657) Copy   

•   Source: SciCrunch Registry
  

http://diprogb.fli-leibniz.de/

Genome browser that encodes the genome sequence by physico-chemical dinucleotide properties such as stacking energy, melting temperature or twist angle. Analyses can be performed for the + and ?, as well as for the double strand.

Proper citation: DiProGB (RRID:SCR_005651) Copy   

•   Source: SciCrunch Registry
  

http://bioinformatics.zj.cn/magicviewer/

Software to easily visualize the short reads alignment, identify the genetic variation and associate with the annotation information of reference genome. MagicViewer provides a user-friendly interface in which large-scale short reads and sequencing depth can be easily visualized in zoomable images under user definable color scheme through an operating system-independent manner with the implement of Java language. Meanwhile, it holds a versatile genetic variation annotation and visualization interface, providing details of the query options, functional classifications, subset selection, sequence association and primer design.

Proper citation: MagicViewer (RRID:SCR_005648) Copy   

•   Source: SciCrunch Registry
  

https://cgwb.nci.nih.gov/goldenPath/bamview/documentation/index.html

A variant detector and graphical alignment viewer for next-generation sequencing data in the SAM/BAM format, which is capable of pooling data from multiple source files. Bambino may be launched online via Java Web Start or downloaded and run locally.

Proper citation: Bambino (RRID:SCR_005649) Copy   

•   Source: SciCrunch Registry
  

http://www.matrics.ucla.edu/index.html

Cognitive deficits -- including impairments in areas such as memory, attention, and executive function -- are a major determinant and predictor of long-term disability in schizophrenia. Unfortunately, available antipsychotic medications are relatively ineffective in improving cognition. Scientific discoveries during the past decade suggest that there may be opportunities for developing medications that will be effective for improving cognition in schizophrenia. The NIMH has identified obstacles that are likely to interfere with the development of pharmacological agents for treating cognition in schizophrenia. These include: (1) a lack of a consensus as to how cognition in schizophrenia should be measured; (2) differing opinions as to the pharmacological approaches that are most promising; (3) challenges in clinical trial design; (4) concerns in the pharmaceutical industry regarding the US Food and Drug Administration''s (FDA) approaches to drug approval for this indication; and (5) issues in developing a research infrastructure that can carry out clinical trials of promising drugs. The MATRICS program will bring together representatives of academia, industry, and government in a consensus process for addressing all of these obstacles. Specific goals of the NIMH MATRICS are: * To catalyze regulatory acceptance of cognition in schizophrenia as a target for drug registration. * To promote development of novel compounds to enhance cognition in schizophrenia. * Leverage economic research power of industry to focus on important but neglected clinical targets. * Identify lead compounds and if deemed feasible, support human proof of concept trials for cognition in schizophrenia.

Proper citation: MATRICS - Measurement And Treatment Research to Improve Cognition in Schizophrenia (RRID:SCR_005644) Copy   

•   Source: SciCrunch Registry
  

https://trac.nbic.nl/wisecondor/

A set of python scripts that detects fetal chromosomal and subchromosomal duplications and deletions in maternal blood samples., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: WISECONDOR (RRID:SCR_005646) Copy   

•   Source: SciCrunch Registry
  

http://www.gene-regulation.com/pub/databases.html#transpath

Database on eukaryotic transcription factors, their experimentally-proven binding sites, consensus binding sequences (positional weight matrices) and regulated genes. Its broad compilation of binding sites allows the derivation of positional weight matrices. It can either be used as an encyclopedia, for both specific and general information on signal transduction, or can serve as a network analyzer. Cross-references to important sequence and signature databases such as EMBL/GenBank UniProt/Swiss-Prot InterPro or Ensembl EntrezGene RefSeq are provided. The database is equipped with the tools for data visualization and analysis. It has three modules: the first one is the data, which have been manually extracted, mostly from the primary literature; the second is PathwayBuilder, which provides several different types of network visualization and hence facilitates understanding; the third is ArrayAnalyzer, which is particularly suited to gene expression array interpretation, and is able to identify key molecules within signalling networks (potential drug targets). These key molecules could be responsible for the coordinated regulation of downstream events. Manual data extraction focuses on direct reactions between signalling molecules and the experimental evidence for them, including species of genes/proteins used in individual experiments, experimental systems, materials and methods. This combination of materials and methods is used in TRANSPATH to assign a quality value to each experimentally proven reaction, which reflects the probability that this reaction would happen under physiological conditions. Another important feature in TRANSPATH is the inclusion of transcription factor-gene relations, which are transferred from TRANSFAC, a database focused on transcription regulation and transcription factors. Since interactions between molecules are mainly direct, this allows a complete and stepwise pathway reconstruction from ligands to regulated genes.

Proper citation: TRANSPATH (RRID:SCR_005640) Copy   

•   Source: SciCrunch Registry