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How do the recent developments in neuroscience affect psychology and society? Today, many new findings challenge the way we think about ourselves and others. These changes impact on how we should think about issues such as the self, mentality, psychology, free will, morale, law and society. Through interviews of prominent scholars in the fields of neuroscience and beyond, the BrainEthics Podcast provides updated, novel and comprehensive news and views from the world of neuroscience, and how the world responds to it. We provide a full list of all podcast episodes. Although we are hosting all episodes, you can also subscribe to the podcast on all major podcasting directories.

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• SciCrunch
• 15 years ago - by Anonymous

Ministry of Higher Education, Research and Innovation, France is one of the 900 Higher Education-related Organizations and Associations.

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• SciCrunch
• 13 years ago - submitted by Andrea Stagg

Open source software tool to merge paired-end reads from next-generation sequencing experiments. Designed to merge pairs of reads when original DNA fragments are shorter than twice length of reads. Can improve genome assemblies and transcriptome assembly by merging RNA-seq data.

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• SciCrunch
• 13 years ago - by Anonymous

There are a lot of fine blogs out there covering the avalance of current neuroscience research. With this blog Thomas Rams��y & Martin Skov want to highlight the many consequences of this growing understanding of the human brain. We are especially interested in two types of consequences: Tinkering with the brain and What is it like to be a human being? * Tinkering with the brain: First and foremost, with an understanding of how the brain works comes the possibility of tinkering with it. We already use billions of dollars every year on psychopharmocologia trying to treat depression, schizophrenia, obsessive-compulsive disorder and other mental diseases. But should we also use our knowledge of the brain to treat undesirable mental traits such as pedophilia or sociopathy? And what about enhancing normal brains? Clearly, evolution hasn''t endowed us with the most efficient brain imaginable. Shouldn''t we do something about its many shortcomings? * What is it like to be a human being?: Secondly, our view of human behavior is sure to change with our improved understanding of the human brain. Our knowledge of core human faculties such as language, social reasoning, aesthetics, and economics is already being challenged by modern neuroscience, yielding multiple hard questions. Do we have a free will? Is the mind innate or plastic? If people are not responsible for their actions (since all actions are caused by blind molecular processes) does our legal system still make sense? In short, will modern neuroscience come to completely redefine human nature? We try to discuss contemporary research literature, not just news reports. Although we will occasionally also target popular science reports, since we believe they play an important role in dissemining lessons from the lab. And in the future we plan to also post interviews with interesting researchers, as well as link to our own publications in journals and books. Additionally, the latest and most important books in the multidisciplinary field of neuroscience, cognition, psychology, ethics and economics are presented.

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• SciCrunch
• 15 years ago - by Anonymous

Database for identifying orthologous phenotypes (phenologs). Mapping between genotype and phenotype is often non-obvious, complicating prediction of genes underlying specific phenotypes. This problem can be addressed through comparative analyses of phenotypes. We define phenologs based upon overlapping sets of orthologous genes associated with each phenotype. Comparisons of >189,000 human, mouse, yeast, and worm gene-phenotype associations reveal many significant phenologs, including novel non-obvious human disease models. For example, phenologs suggest a yeast model for mammalian angiogenesis defects and an invertebrate model for vertebrate neural tube birth defects. Phenologs thus create a rich framework for comparing mutational phenotypes, identify adaptive reuse of gene systems, and suggest new disease genes. To search for phenologs, go to the basic search page and enter a list of genes in the box provided, using Entrez gene identifiers for mouse/human genes, locus ids for yeast (e.g., YHR200W), or sequence names for worm (e.g., B0205.3). It is expected that this list of genes will all be associated with a particular system, trait, mutational phenotype, or disease. The search will return all identified model organism/human mutational phenotypes that show any overlap with the input set of the genes, ranked according to their hypergeometric probability scores. Clicking on a particular phenolog will result in a list of genes associated with the phenotype, from which potential new candidate genes can identified. Currently known phenotypes in the database are available from the link labeled ''Find phenotypes'', where the associated gene can be submitted as queries, or alternately, can be searched directly from the link provided.

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• SciCrunch
• 15 years ago - by Anonymous

This blog highlights and comments on current research and hypotheses relating to how the brain wires itself up during development, how the end result can vary in different people and what happens when it goes wrong. It includes discussions of the genetic and neurodevelopmental bases of traits such as intelligence and personality characteristics, as well as of conditions such as schizophrenia, autism, dyslexia, epilepsy, synaesthesia and others.

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• SciCrunch
• 15 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 2nd,2023. TMAD stores raw and processed data from Tissue Microarray experiments along with their corresponding stained tissue images. In addition, TMAD provides methods for data retrieval, grouping of data, analysis and visualization as well as export to standard formats. Researchers at the Stanford University School of Medicine and their collaborators worldwide have constructed many tissue microarrays for use in basic research.

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• SciCrunch
• 17 years ago - by Anonymous

Governmental agency of Italy. Its headquarters are in Rome and is led by the Italian Minister of Health.

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• SciCrunch
• 16 years ago - submitted by Andrea Stagg

An Antibody supplier

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• SciCrunch
• 14 years ago - by Anonymous

An algorithm for efficient frequency-based de novo short read clustering for error trimming in next-generation sequencing. It organizes erroneous short sequences originating in a single abundant sequence into a tree structure such that each child sequence is considered to be derived stochastically from its more abundant parent sequence because of sequencing errors.

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• SciCrunch
• 13 years ago - by Anonymous

Software to collapse identical and near-identical Illumina and 454 reads (such as those from PCR clones) into single error-corrected sequences; it can process paired-end as well as single-end reads. Fulcrum is customizable and can be deployed on a single machine, a local network or a commercially available MapReduce cluster, and it has been optimized to maximize ease-of-use, cross-platform compatibility and future scalability. Sequence datasets have been collapsed by up to 71%, and the reduced number and improved quality of the resulting sequences allow assemblers to produce longer contigs while using less memory.

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• SciCrunch
• 13 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 29,2025. Center for cell line distribution and stock at Texas A&M Health Science Center College of Medicine Institute for Regenerative Medicine. Scott & White have received a grant funded by the NIH to provide well-characterized human adult stem cells, rat stem cells, and mouse stem cells to academic researchers worldwide upon request.

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• SciCrunch
• 15 years ago - by Anonymous

The OECI is a non-government, non-profit organization founded in Vienna in 1979. The primary objectives of its 68 associated European Cancer Centres are to improve communication and to increase collaborative activities among European cancer institutes. These goals are achieved by promoting and strengthening Comprehensive Cancer Centres in Europe to reduce cancer incidence and mortality, and supporting cancer patients. The OECI leadership has demonstrated its active involvement in the promotion of a European approach to cancer management as a partner with UICC in the series of European Cancer Management Meetings organized with support from the European Union (Antwerp, 2000; Paris 2001). OECI members are leading Cancer Centres throughout Europe, encompassing the full spectrum of Cancer activities and national considerations. In order to facilitate the activities of their members and the definition of common programs of international interest and to facilitate the participation in European projects and programs the GEIE-LINC and the OECI in 2001 decided to set-up 9 specific Working Groups active in the following fields: Guidelines, Registration & Data Evaluation, Cost-Benefit, Pre-Clinical and Clinical Research, Education, Communication, Telematics & Telemedicine, Pathology, New Technologies

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• SciCrunch
• 15 years ago - by Anonymous

A bioinformatics tool dedicated to analyze ChIP-exo data: 1) Sequencing depth normalization and nucleotide composition bias correction. 2) Signal consolidation and noise reduction. 3) Single base resolution border detection. 4) Border matching.

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• SciCrunch
• 13 years ago - by Anonymous

The Ministry of Foreign Affairs and is the ministry in the government of France that handles France's foreign relations.

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• SciCrunch
• 12 years ago - submitted by Andrea Stagg

An Antibody supplier

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• SciCrunch
• 14 years ago - by Anonymous

A Java library for the manipulation of files in common bioinformatics formats using the Hadoop MapReduce framework with the Picard SAM JDK, and command line tools similar to SAMtools. The file formats currently supported are BAM, SAM, FASTQ, FASTA, QSEQ, BCF, and VCF.

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• SciCrunch
• 13 years ago - by Anonymous

Network that brings together researchers in imaging genomics, to understand brain structure and function, based on MRI, DTI, fMRI and genomewide association scan (GWAS) data. The ENIGMA Network has several goals: * to create a network of like-minded individuals, interested in pushing forward the field of imaging genetics * to ensure promising findings are replicated via member collaborations, in order to satisfy the mandates of most journals * to share ideas, algorithms, data, and information on promising findings or methods * to facilitate training, including workshops and conferences on key methods and emerging directions in imaging genetics. Data sharing with other members of the ENIGMA Network is optional and by no means a requirement of joining the network. Genetics and Imaging Protocols are available.

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• SciCrunch
• 15 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software Python package that provides infrastructure to process data from high-throughput sequencing assays. While the main purpose of HTSeq is to allow you to write your own analysis scripts, customized to your needs, there are also a couple of stand-alone scripts for common tasks that can be used without any Python knowledge.

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• SciCrunch
• 13 years ago - by Anonymous

A flexible software platform for distributed processing, analysis, exchange and visualization of brain imaging data. The expected result is a middleware platform that will render the processing environment (hardware, operating systems, storage servers, etc...) transparent to a remote user. Interaction with a standard web browser allows application of complex algorithm pipelines to large datasets stored at remote locations using a mixture of network available resources such as small clusters, neuroimaging tools and databases as well as Compute Canada's High Performance Computing Centers (HPC). Though the focus of CBRAIN is providing tools for use by brain imaging researchers, the platform is generalizable to other imaging domains, such as radiology, surgical planning and heart imaging, with profound consequences for Canadian medical research. CBRAIN expanded its concept to include international partners in the US, Germany and Korea. As of December 2010, GBRAIN has made significant progress with the original three partners and has developed new partners in Singapore, China, India, and Latin America. CBRAIN is currently deployed on 6 Compute Canada HPC clusters, one German HPC cluster and 3 clusters local to McGill University Campus, totaling more than 80,000 potential CPU cores.

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• SciCrunch
• 15 years ago - by Anonymous