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    Just a few weeks after DARPA announced a major investment in developing brain-computer interface technology, the US government department has revealed another major project. The Safe Genes program is set to invest US$65 million over four years in seven teams that will investigate ways to make gene editing technologies safer, more targeted and potentially even reversible.

    November 13-16, 2017
    Kansas City, MO, USA
    Held in conjunction with BIBM 2017 (


    High-throughput technologies (e.g. microarray, mass spectrometry, NGS) and clinical diagnostic tools (e.g. medical imaging) are producing an increasing amount of experimental and clinical data. In such a scenario, large-scale databases and bioinformatics tools are key tools for organizing and exploring biological and biomedical data with the aim to discover new knowledge in biology and medicine.

    High-performance computing may play an important role in many phases of life sciences research, from raw data management and processing, to data analysis and integration, till data exploration and visualization. In particular, at the raw data layer, Grid infrastructures may offer the huge data storage needed to store experimental and biomedical data, while parallel computing can be used for basic pre-processing (e.g. parallel BLAST) and for more advanced analysis (e.g. parallel data mining). In such a scenario, novel parallel architectures (e.g. e.g. CELL processors, GPUs, FPGA, hybrid CPU/FPGA) coupled with emerging programming models may overcome the limits posed by conventional computers to the mining and exploration of large amounts of data.

    At an higher layer, emerging biomedical applications need to use in a coordinated way both bioinformatics tools, biological data banks and patient's clinical data, that require seamless integration, privacy preservation and controlled sharing. Service Oriented Architectures and semantic technologies, such as ontologies, may allow the building and deployment of the so-called collaboratories where remote scientists may conduct experimental research in a collaborative way.

    The goal of HiBB is to bring together scientists in the fields of bioinformatics, biomedicine, medical informatics, high performance computing, as well as scientists working in biology and medicine, to discuss, among the others, the challenges and the requirements posed by novel data analysis pipelines for the management and analysis of omics data, that are more and more produced by high-throughput experimental platforms as well as diagnostic tools. Furthermore, the use of novel parallel architectures and dedicated hardware to implement bioinformatics and biomedical algorithms will be discussed.


    The workshop is seeking original research papers presenting applications of parallel and high performance computing to biology and medicine. Topics of interest include, but are not limited to:
    • High performance data mining for bioinformatics and biomedicine
    • Large scale biological and biomedical databases
    • Data integration and ontologies in biology and medicine
    • Parallel bioinformatics algorithms
    • Parallel visualization and exploration of biomedical data
    • Parallel visualization and analysis of biomedical images
    • Computing environments for large scale collaboration
    • Scientific workflows in bioinformatics and biomedicine
    • Services for bioinformatics and biomedicine
    • Cloud Computing for bioinformatics and biomedicine
    • Peer-To-Peer Computing for bioinformatics and biomedicine
    • Emerging architectures and programming models for bioinformatics and biomedicine
    • Parallel processing of bio-signals
    • Modeling and simulation of complex biological processes


    The workshop will take place on November 13-16, 2017 (To Be Announced). It is scheduled as half-day. The program is not available yet.


    Please submit a full-length paper (up to 8 page IEEE 2-column format) through the BIBM-2017 Workshops submission system:[...]t.php

    You can download the format instruction here:[...].html

    Electronic submissions (in PDF or Postscript format) are required. Selected participants will be asked to submit their revised papers in a format to be specified at the time of acceptance.


    Due date for full workshop papers submission: Sept 20, 2017
    Notification of paper acceptance to authors: Oct 10, 2017
    Camera-ready of accepted papers: Oct 25, 2017
    Workshop: Nov 13-16, 2017


    After of the workshop, we plan to invite the best papers of the workshop for a special issue of an international journal.


    March 22-23, 2018
    Florence, Italy


    The objective of the New Perspectives in Science Education Conference is to promote transnational cooperation and share good practice in the field of innovation for science education. The New Perspectives in Science Education Conference is also an excellent opportunity for the presentation of previous and current projects in the science field.


    The Call for Papers, within the New Perspective in Science Education Conference, is addressed to teachers, researchers and experts in the field of science education as well as to coordinators of science and training projects.

    Experts in the field of science teaching and learning are therefore invited to submit an abstract of a paper to be presented during the New Perspective in Science Education international conference. The abstract should be written in English and submitted no later than 22 November 2017. In order to submit an abstract please visit our website:[...]n.php.

    There will be three presentation modalities: oral, poster and virtual presentations.

    All accepted papers will be included in the Conference Proceedings published by LibreriaUniversitaria with ISBN and ISSN codes. This publication will be sent to be reviewed for inclusion in SCOPUS ( Papers will also be included in ACADEMIA.EDU ( and Google Scholar.


    Deadline for submitting abstracts: November 22, 2017
    Notification of Acceptance / Rejection for Abstracts: December 13, 2017
    Deadline for final submission of papers: January 22, 2018
    Dates of the conference: March 22-23, 2018


    For further information, please contact us at the following address: science[at] or visit the New Perspectives in Science Education conference website linked above.



    IBM is busy applying its Watson AI to as many health arenas as possible and it looks like cancer genomic sequencing could be its next big market.

    In a new proof-of-concept study testing a beta version of its genomic sequencing-specific version of Watson, Watson for Genomics, IBM's AI has once again shown potential.

    Full article:[...].full



    The malaria parasite's success is owed to the stripping down of its genome to the bare essential genes, scientists at the Wellcome Trust Sanger Institute and their collaborators have found. In the first ever large-scale study of malaria gene function, scientists analysed more than half of the genes in the parasite's genome and found that two thirds of these genes were essential for survival – the largest proportion of essential genes found in any organism studied to date.

    Full article:[...]714-6
    Events: NGS Data Analysis -- 1 day hands-on training
    Submitted by Vijayaraj Nagarajan; posted on Wednesday, July 12, 2017

    July 30, 2017
    Coimbatore, Tamil Nadu, India[...]40702


    This course will introduce students/faculty to bioinformatic analysis of next generation sequencing data, particularly for DNA-seq (variant analysis), RNA-seq and CHIP-seq. The course will be comprised of short lectures and mostly hands-on sessions.


    • Free lunch, NGS analysis book, cloud server
    • Training certificate issued by American Academy for Biomedical Informatics, USA
    • Free Linux desktop Amazon machine image with all required software


    • Basic computer skills and basic biology knowledge
    • Only 35 participants per class (both teachers and students can participate)
    • Bring your own laptop (a basic laptop that you can install software and could connect to wireless internet)


    Got questions or need more information? Email us at contact[at] OR call us at Phone: +91 97919 85129.



    A global team of researchers has published the first-ever Wild Emmer wheat genome sequence in Science magazine. Wild Emmer wheat is the original form of nearly all the domesticated wheat in the world, including durum (pasta) and bread wheat. Wild emmer is too low-yielding to be of use to farmers today, but it contains many attractive characteristics that are being used by plant breeders to improve wheat.

    Full article:[...].full



    The world's leading drug companies are turning to artificial intelligence to improve the hit-and-miss business of finding new medicines, with GlaxoSmithKline unveiling a new $43 million deal in the field on Sunday.

    Other pharmaceutical giants including Merck & Co, Johnson & Johnson and Sanofi are also exploring the potential of artificial intelligence (AI) to help streamline the drug discovery process.



    When it comes to food safety, being able to identify traits of what is considered "normal" for a food ingredient, helps producers detect when something is "abnormal." IBM and Cornell University will be collaborating to help keep the global milk supply safe.

    Specifically, next-generation genetic sequencing combined with bioinformatics analytics, will help reduce the chances of safety breaches impacting dairy.



    "As a matter of truth in advertising, the 'finished' sequence isn't finished," said Eric Lander, who led the lab at the Whitehead Institute that deciphered more of the genome for the government-funded Human Genome Project than any other. "I always say 'finished' is a term of art."

    "It's very fair to say the human genome was never fully sequenced," Craig Venter, another genomics luminary, told STAT.

    "The human genome has not been completely sequenced and neither has any other mammalian genome as far as I'm aware," said Harvard Medical School bioengineer George Church, who made key early advances in sequencing technology.
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