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    December 10-14, 2018
    IIIT-Delhi campus, Delhi, India

    Introduction: There is an exponential growth in the field of computational biology in last two decades; that includes mining of big genomic data. Aim of this workshop is to bring all the experts and participants working on wide range of problems on a single platform to understand progress and challenges in the field of computational biology. In this workshop, our focus will be on application of informatics/computers in the field of biology, medicine, drug discover and healthcare. Thus, participants working in the field of applied computation/informatics, industry, teaching or experimental science will be highly benefitted.

    Who should attend: All students, faculty, researchers & Industry professionals who are working or are interested in Computational Biology, Biomedicine, Health informatics and allied areas should attend this workshop.

    Please visit the website for more information.

    Sunday, November 11, 2018, 9 a.m.-5:30 p.m.
    Dallas, Texas, USA
    Held in conjunction with SC18 (
    Room D173, Lower Lobby D

    The program of the 13th Workflows in Support of Large-Scale Science (WORKS) Workshop is now available (

    9:00-9:10 Welcome. Sandra Gesing and Rafael Ferreira da Silva
    9:10-10:00 Ilkay Altintas (invited keynote talk)
    10:00-10:30 Coffee Break

    Session "Scheduling and Resource Allocation":
    10:30-10:55 Reduction of Workflow Resource Consumption Using a Density-based Clustering Model. Qimin Zhang, Nathaniel Kremer-Herman, Benjamin Tovar, Douglas Thain
    10:55-11:20 Flux: Overcoming Scheduling Challenges for Exascale Workflows. Dong H. Ahn, Ned Bass, Albert ChuJim Garlick, Mark Grondona, Stephen Herbein, Joseph Koning, Tapasya Patki, Thomas R. W. Scogland, Becky Springmeyer, Michela Taufer
    11:20-11:45 LOS: Level Order Sampling for Task Graph Scheduling on Heterogeneous Resources. Carl Witt, Sam Wheating, Ulf Leser
    11:45-11:55 Energy-Aware Workflow Scheduling and Optimization in Clouds using Bat Algorithm. Yi Gu, Chandu Budati

    Session "Provenance and Enhanced Monitoring":
    11:55-12:20 A Practical Roadmap for Provenance Capture and Data Analysis in Spark-based Scientific Workflows. Thaylon Guedes, Vitor Silva, Marta Mattoso, Marcos Bedo, Daniel Oliveira
    12:20-12:30 End-to-End Online Performance Data Capture and Analysis for Scientific Workflows. George Papadimitriou, Cong Wang, Karan Vahi, Rafael Ferreira da Silva, Anirban Mandal, Zhengchun Liu, Rajiv Mayani, Mats Rynge, Mariam Kiran, Vickie E. Lynch, Rajkumar Kettimuthu, Ewa Deelman, Jeffrey S. Vetter, Ian T. Foster
    12:30-14:00 Lunch

    Session "Heterogeneous Architectures":
    14:00-14:25 Planner: Cost-efficient Execution Plans Placement for Uniform Stream Analytics on Edge and Cloud. Laurent Prosperi, Alexandru Costan, Pedro Silva, Gabriel Antoniu
    14:25-14:50 Dynamic Distributed Orchestration of Node-RED IOT Workflows Using a Vector Symbolic Architecture. Christopher Simpkin, Ian J. Taylor, Daniel Harborne, Graham Bent, Alun Preece, Raghu K. Ganti
    14:50-15:00 Optimizing the Throughput of Storm-based Stream Processing in Clouds. Huiyan Cao, Chase Q. Wu, Liang Bao, Aiqin Hou
    15:00-15:30 Coffee Break

    Session "Workflow Tools and Support Environment":
    15:30-15:55 DagOn*: Executing direct acyclic graphs as parallel jobs on anything. Raffaele Montella, Diana Di Luccio, Sokol Kosta
    15:55-16:20 WRENCH: A Framework for Simulating Workflow Management Systems. Henri Casanova, Suraj Pandey, James Oeth, Ryan Tanaka, Frédéric Suter, Rafael Ferreira da Silva
    16:20-17:30 Panel "The Future of Scientific Workflows: Challenges and Opportunities" (panelists will be announced soon)



    The selection of a first-line chemotherapy drug to treat many types of cancer is often a clear-cut decision governed by standard-of-care protocols, but what drug should be used next if the first one fails?

    That's where Georgia Institute of Technology researchers believe their new open source decision support tool could come in. Using machine learning to analyze RNA expression tied to information about patient outcomes with specific drugs, the open source tool could help clinicians chose the chemotherapy drug most likely to attack the disease in individual patients.
    Education: Course on Snakemake workflow management system
    Submitted by Carlo Pecoraro; posted on Wednesday, November 07, 2018

    February 19-20, 2019
    Berlin, Germany[...]se41/

    Data analyses usually entail the application of many command line tools or scripts to transform, filter, aggregate or plot data and results. With ever increasing amounts of data being collected in science, reproducible and scalable automatic workflow management becomes increasingly important. is a workflow management system, consisting of a text-based workflow specification language and a scalable execution environment, that allows the parallelized execution of workflows on workstations, compute servers and clusters without modification of the workflow definition. Thereby, its scheduling algorithm allows Snakemake to maximize workflow execution speed while not exceeding given constraints like the number of available processor cores, cluster nodes or auxilliary hardware like graphics cards.

    Since its publication, Snakemake has been widely adopted and was used to build analysis workflows for a variety of high impact publications. With about 5000 homepage visits per month, it has a large and stable user community.

    This course will introduce the Snakemake workflow definition language and describe how to use the execution environment to scale workflows to compute servers and clusters while adapting to hardware specific constraints. Further, it will be shown how Snakemake helps to create reproducible analyses that can be adapted to new data with little effort.

    Register now for the first 2-day Snakemake Workshop in Berlin with Johannes Köster


    March 21-22, 2019
    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 conference.

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

    All accepted papers will be included in the Conference Proceedings published by Filodiritto Editore with ISBN and ISSN codes. This publication will be sent to be reviewed for inclusion in SCOPUS ( and Thomson Reuters. Papers will also be included in Academia.Edu ( and Google Scholar.


    Extended Deadline for submitting abstracts: Nov. 13, 2018
    Notification of abstracts' acceptance / rejection: Nov. 17, 2018
    Deadline for final submission of papers: Jan. 21, 2019
    Dates of the conference: Mar. 21-22, 2019


    For further information, please contact us at the following address: science[at] or visit the New Perspectives in Science Education conference website.
    Education: Training in Variant Analysis @ NIH
    Submitted by Vijayaraj Nagarajan; posted on Monday, October 22, 2018

    November 13-16, 2018
    National Institutes of Health
    9000 Rockville Pike
    Building 60, Room 162
    Bethesda, MD 20892, USA


    Next generation sequencing technologies have made genotyping a day to day research and diagnostic tool. Genotyping has come all the way from bench-to-bedside. Genetic variants are being used in personalized medicine to identify susceptibility genes, common disease variants and mutations relevant for diagnosis and therapy.


    Participants will use popular open source tools and techniques necessary for analysing variants starting from raw data quality control. Apart from the regular analysis like alignment, variant calling and annotation, this training will walk through participants in several advanced variant analysis methods and techniques.

    Skill sets taught:
    • NGS Basics, experimental design, data format
    • Data quality control, preprocessing and alignment
    • Germline variant calling
    • Somatic variant calling
    • Variant score recalibration and filtering
    • Variant calling best practices
    • Indels, structural and copy-number variation
    • Cohort and population scale analysis
    • Recombination, linkage, LOH, haplotype, allelic imbalance
    • Variant annotation and association analysis
    • Co-variation, causal variation, network analysis
    • Cloud-based Linux desktop
    • Training provided by active NIH researchers
    • Cookbook style bound manual for all exercises
    • Direct, after training support through exclusive forum membership
    • Continuing Education Credits
    Education: Free Webinar: Biomedical Data, Simplified
    Submitted by Sahil Sethi; posted on Friday, October 19, 2018


    Our recent webinar on the critical role data science tools and skills play in the advancement of biomedical research and precision medicine.

    Watch now:

    Announcing the start of an online training program designed to empower researchers, clinicians and students to handle their own high-throughput datasets and extracting insights through processing, analysis, machine learning and visualization. Learn more:
    Resources: Vaccine Against Major Pathogenic Species of Bacteria
    Submitted by Gajendra P.S. Raghava; posted on Thursday, October 18, 2018


    We created a web-based resource on predicted vaccine candidates against major pathogens, and we hope these candidates will be utilized by experimental researchers to develop vaccines against bacterial strains responsible for diseases.

    Events: Symposium on Accelerating Biology 2019: Towards Thinking Machines
    Submitted by Ruma Banerjee; posted on Tuesday, September 18, 2018

    February 5-7, 2019
    Indian Institute of Science Education and Research (IISER)
    Dr Homi Bhabha Rd
    Pashan, Pune
    Maharashtra, India[...]y2019

    The Bioinformatics group of C-DAC is organizing a three-day symposium that will include talks by eminent scientists from academia and industry and will address the challenges in the areas of "Personalized medicine, Cognitive computing, Drug design, Big data tools etc." Early bird registration closes on 30 November 2018 and Poster abstracts can be sent in latest by 4th January 2019, 6 pm.

    To avail special discount on group registrations (10 participants and above) kindly contact ab2019[at]

    We encourage participation from students and early-career researchers from diverse fields of microbiology, genetics, biochemistry, bioinformatics, biotechnology, anthropology, geology and other allied fields.


    Any further quires can be directed to:
    Phone: 020-25503272
    Email: ab2019[at]

    Genestack has been working on a transcriptomics tool for the pharma/biotech market in collaboration with Boehringer Ingelheim. In short, it helps biologists interrogate and visualise expression data, at scale, without the support of a bioinformatician. This then allows bioinformaticians to concentrate on things that bring the most benefit to their work. And this is why I'm reaching out to

    We are inviting industry and academic professionals to get 1-month free early access to this tool and help shape its development through user research. To take part, simply book a "User Chat" with a Genestack specialist here:

    Or you can find out more about the tool here:[...]iner/.
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