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THIS RESOURCE IS OUT OF SERVICE, documented on July 23, 2021.Commercial organization with expertise in European research and innovation that provide both science providers (researchers) and technology users (Industry including SMEs, public authorities, Universities, clusters, etc.) tailor-made services to give the highest possible European added value to their project.
Proper citation: Interface Europe (RRID:SCR_003955) Copy
A small and medium-sized enterprise (SME) that has expertise in preclinical pharmacology, pharmacokinetics, and toxicology for the characterization of novel anticancer therapeutics and predictive biomarkers like: cytostatics, biologicals (peptides, antibodies), (anti)-hormones, immunomodulators (cytokines), and gene therapeutics. EPO has modern laboratories licensed for animal experiments and gene technology (S2) and a broad panel of murine and human tumor models growing in immunocompetent (SPF-quality, syngeneic strains) or immunodeficient mice (nude, SCID, NOD/SCID). EPO has established imaging technologies to monitor in vivo tumor growth.
Proper citation: Experimental Pharmacology and Oncology Berlin-Buch (RRID:SCR_003954) Copy
Commercial organization that uses next generation sequencing technologies coupled with computational modeling of tumor and somatic tissues in order to identify individualized therapies for cancer patients. The company also uses these technologies to help pharmaceutical partners stratify patients for their clinical trials. Alacris has an exclusive worldwide commercial license for the computational modeling of tumors and somatic tissues using proprietary computational systems modeling technologies ModCell developed at the Max Planck Institute for Molecular Genetics (MPI-MG) in Berlin coupled with next generation sequencing and genotyping technology developed at Harvard Medical School in Boston. The company also is building up the first next generation sequencing center in Europe for clinical operations.
Proper citation: Alacris Theranostics (RRID:SCR_003953) Copy
Commercial organization focused on the development and exploitation of novel biomarkers for psychiatric illnesses. They provide industrial and academic partners with comprehensive biomarker discovery services in commercial and collaborative projects. They operate in the field of psychiatric disorders and their products and services are designed to excel biomarker research. In 2010, Psynova Neurotech and its partner company Rules-Based-Medicine Inc (now MyriadRBM) conducted a beta launch of a blood test aiding in the diagnosis of schizophrenia (http://www.veripsych.com/). They are now refining the test and have shifted their focus to the development of new blood-based biomarker tests that aid in the diagnosis, prognosis and differential diagnosis of schizophrenia, bipolar disorder and major depression. They offer not only their pre-selceted Multiple Reaction Monitoring (MRM) and Multiplex Immunoassay products, but also custom build panels. If they are provided with a list of analyses to evaluate, they can produce an analytical panel according to individual needs utilizing either MRM or Multiplex Immunoassay technologies.
Proper citation: Psynova Neurotech (RRID:SCR_003959) Copy
http://www.thecommunityguide.org/uses/funding.html
http://www.thecommunityguide.org/uses/funding.html
Proper citation: Coordinating center for infectious diseases (RRID:SCR_003958) Copy
http://bioconductor.org/packages/2.9/bioc/html/RamiGO.html
Software package with an R interface sending requests to AmiGO visualize, retrieving DAG GO trees, parsing GraphViz DOT format files and exporting GML files for Cytoscape. Also uses RCytoscape to interactively display AmiGO trees in Cytoscape.
Proper citation: RamiGO (RRID:SCR_006922) Copy
http://www.seqan.de/projects/razers/
A read mapping software program with adjustable sensitivity based on counting q-grams. RazerS 3 supports shared-memory parallelism, an additional seed-based filter with adjustable sensitivity, a much faster, banded version of the Myers? bit-vector algorithm for verification, memory saving measures and support for the SAM output format. This leads to a much improved performance for mapping reads, in particular long reads with many errors.
Proper citation: RazerS (RRID:SCR_006889) Copy
http://sourceforge.net/projects/artfastqgen/
Software to evaluate and improve the accuracy of sequencing error under different experimental conditions. It can identify which components of a system may be suboptimal and which regions of the genome may be problematic.
Proper citation: ArtificialFastqGenerator (RRID:SCR_006880) Copy
http://seqbarracuda.sourceforge.net/
A sequence mapping software that utilizes the massive parallelism of graphics processing units to accelerate the inexact alignment of short sequence reads to a particular location on a reference genome. It can align a paired-end library containing 14 million pairs of 76bp reads to the Human genome in about 27 minutes (from fastq files to SAM alignment) using a ��380 NVIDIA Geforce GTX 680*. The alignment throughput can be boosted further by using multiple GPUs (up to 8) at the same time. Being based on BWA (http://bio-bwa.sf.net) from the Sanger Institute, BarraCUDA delivers a high level of alignment fidelity and is comparable to other mainstream alignment programs. It can perform gapped alignment with gap extensions, in order to minimise the number of false variant calls in re-sequencing studies.
Proper citation: BarraCUDA (RRID:SCR_006881) Copy
http://code.google.com/p/crop-tingchenlab/
A clustering tool designed mainly for Metagenomics studies, which clusters 16S rRNA sequences into Operational Taxonomic Units (OTU). By using a Gaussian Mixture model, CROP can automatically determine the best clustering result for 16S rRNA sequences at different phylogenetic levels without setting a hard cutoff threshold as hierarchical clustering does. Yet, at the same time, it is able to manage large datasets and to overcome sequencing errors.
Proper citation: CROP (RRID:SCR_006916) Copy
http://sourceforge.net/projects/mubiomics/
A set of scripts (mostly python) for processing reads generated by the Roche 454 or Illumina next-gen sequencing platforms. Included are quality control, read demultiplexing and microbiome characterisation scripts for use with usearch, pplacer and RDP classifier.
Proper citation: mubiomics (RRID:SCR_006785) Copy
http://www.bioconductor.org/packages/2.11/bioc/html/ShortRead.html
Software package for input, quality assessment and exploration of high-throughput sequence data. Used for input, quality assurance, and basic manipulation of `short read'' DNA sequences such as those produced by Solexa, 454, and related technologies, including exible import of common short read data formats.
Proper citation: ShortRead (RRID:SCR_006813) Copy
http://compbio.bccrc.ca/software/mutationseq/
A software suite using feature-based classifiers for somatic mutation prediction from paired tumour/normal next-generation sequencing data. mutationSeq has the advantages of integrating different features (e.g., base qualities, mapping qualities, strand bias, and tailed distance features), and validated somatic mutations to make predictions. Given paired normal/tumour bam files, mutationSeq will output the probability of each candidate site being somatic.
Proper citation: mutationSeq (RRID:SCR_006815) Copy
Public university located in Rostock, Mecklenburg-Vorpommern, Germany. Founded in 1419.
Proper citation: University of Rostock; Mecklenburg-Vorpommern; Germany (RRID:SCR_006816) Copy
http://www.bioconductor.org/packages/2.12/bioc/html/RIPSeeker.html
A statistical software package for identifying protein-associated transcripts from RIP-seq experiments. Infer and discriminate RIP peaks from RIP-seq alignments using two-state HMM with negative binomial emission probability. While RIPSeeker is specifically tailored for RIP-seq data analysis, it also provides a suite of bioinformatics tools integrated within this self-contained software package comprehensively addressing issues ranging from post-alignments processing to visualization and annotation.
Proper citation: RIPSeeker (RRID:SCR_006810) Copy
The BioBricks Foundation (BBF) is dedicated to advancing synthetic biology to benefit all people and the planet. To achieve this, we must make engineering biology easier, safer, equitable, and more open. We do this in the following ways: by ensuring that the fundamental building blocks of synthetic biology are freely available for open innovation; by creating community, common values and shared standards; and by promoting biotechnology for all constructive interests. We envision a world in which scientists and engineers work together using BioBric parts freely available standardized biological parts to create safe, ethical solutions to the problems facing humanity. We envision synthetic biology as a force for good in the world. We see a future in which architecture, medicine, environmental remediation, agriculture, and many other fields are using the technology of synthetic biology. Our supporters are many and include corporations, individuals, institutions, foundations, government, corporations, and others. Currently, the BBF''s key programs include: * BIOFAB * BioBrick Public Agreement * Technical Standards Framework * Conferences and Workshops * BBF Global Network * OpenWetWare
Proper citation: BioBricks Foundation (RRID:SCR_006779) Copy
http://sourceforge.net/projects/qudaich/
A software package for local sequence alignment for next-generation sequencing (NGS) data. It generates the pairwise local alignments between a query dataset against a database. The main design purpose of qudaich is to focus on datasets from next generation sequencing. These the datasets generally have hundreds of thousand sequences or more, and so, the input database should contain large number of sequences. Qudaich is flexible and its algorithmic structure imposes no restriction on the absolute limit of the acceptable read length, but the current version of qudaich allow read length <2000 bp. Qudaich can be used to align DNA, translated DNA and protein sequences.
Proper citation: Qudaich (RRID:SCR_006775) Copy
Funds innovative research and development in Washington state to promote life sciences competitiveness, enhance economic vitality, and improve health and health care. Its grantmaking opportunities are designed to leverage the state''s investment in research and development by achieving three goals: promoting health; making the life sciences sector more competitive; and strengthening Washington''s economy. LSDF currently offers two different types of granting mechanisms for both for-profit and non-profit organizations in Washington: * Proof of Concept grants to enhance the commercial viability of intellectual property developed by non-profit organizations or enhance the competitiveness of early-stage companies for private equity investment. (This grant mechanism combines the Commercialization and PreCede mechanisms offered in prior years.) * Opportunity grants to fund extraordinary research and development proposals having the ability to significantly leverage LSDF dollars against those from other sources.
Proper citation: Life Sciences Discovery Fund (RRID:SCR_006845) Copy
A Graphical User Interface for NEURON simulator environment with 3D capabilities. Neuronvisio makes easy to select and investigate sections'''' properties and it offers easy integration with matplotlib for plotting the results. The geometry can be saved using NeuroML and the computational results in a customized and extensible HDF5 format; the results can then be reload in the software and analyzed in a later stage, without re-running the simulation. Featuring 3D visualization of the model with the possibility to change it runtime; creation of vectors to record any variables present in the section; pylab integration to plot directly the result of the simulation; exploration of the timecourse of any variable among time using a color coded scale; saving the results simulation for later analysis; automatic download and running of models in ModelDB.
Proper citation: NeuronVisio (RRID:SCR_006839) Copy
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