[NEU MS in Bioinformatics]
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    This is a new 2 year course work Masters program that includes 1 year of research project credit. It is intended to have a translational focus. See below for program description and contact details.


    Prerequisites/entry criteria: High level of achievement in a relevant bachelor's degree. Applicants must have completed level 1 mathematics and computer programming courses and a level 1 course in biology, biochemistry, chemistry or physics.

    Duration: 2 years Intakes: February and July
    English Language: IELTS of 6.5 (or equivalent).

    Inquiries contact: bioinformatics[at]

    Program overview:
    The Master of Bioinformatics is an innovative postgraduate program combining coursework and a major research project. The curriculum is based on the fundamentally interdisciplinary nature of bioinformatics research, with a focus on translational applications of bioinformatic analyses to real world problems in research, human health and agriculture.

    The program has a strong experimental and application focus and exposes students to individual data generation technology platforms as well as developing competitive analytical and research skills. Students will also be exposed to the many interlinked issues in translational bioinformatic research; translation and development, including analytical reproducibility for downstream compliance and regulatory issues; analysis of big data; and project management, team skill development and bioinformatics software development.

    For individual courses, assessment includes examinations, written and oral assignments and investigative projects (both individual and group). The research project is assessed by a literature review, research proposal, seminar, viva voce and a thesis.

    Potential careers:
    Bioinformatics offers rewarding and well-paid careers using advanced technologies that will transform the biomedical and agricultural industries. Career opportunities also exist in research and development, and advisory and consultancy positions in private companies, government departments and universities.

    Indicative program structure:
    The 48-unit master's program is made up of 24 units of coursework and 24 units of laboratory based research.

    Core courses: Biology for Bioinformatics, Research Methods in Bioinformatics, Bioinformatics and Systems Modelling, Bioinformatics Practice, Statistical Modelling and Inference or Statistical Modelling, Algorithm & Data Structure Analysis, Specialised Programming or Mining Big Data, Statistics for Bioinformatics.

    Bioinformatics Electives: In the case that students have recognition for prior learning in the above course(s), to extend their learning they may choose electives from Advanced Research Platforms, Drug Discovery and Development, Stem Cells and Advanced Tissue Culture, Molecular Microbiology and Vaccines, Distributed Databases and Data Mining, Advanced Algorithms, Introduction to Statistical Machine Learning.

    Related programs: This program has been constructed to provide progression to a PhD.

    March 20-26, 2017
    Cold Spring Harbor Laboratory, NY, USA[...]-2017

    In collaboration with Cold Spring Harbor Laboratory, is pleased to offer the workshop High-Throughput Biology: From Sequence to Networks. This workshop will focus on key bioinformatics concepts and tools required to analyze DNA- and RNA-seq reads using a reference genome and will conclude with analyzing and conducting pathway and network analysis on the resultant "gene" list.

    Applications for this workshop are due January 15th.
    Events: Invitation to geXc Scripps 2016
    Submitted by Jeffrey Seitz; posted on Monday, November 28, 2016

    December 6, 2016
    The Scripps Research Institute, La Jolla, CA, USA

    The geXc "Genomic Exchange Community" symposia series is excited to announce its next event, geXc Scripps 2016, being held on Dec 6th 2016 at the Robert Paine Scripps Forum. We have a fantastic list of speakers and a packed schedule! D-MARK Biosciences is delighted to host this event with the support of the Scripps Institute. We would like to invite all San Diego regional researchers and Biotechnology community to attend. Please see the attached poster and visit for more information.

    geXc is a grassroots initiative with an intent to improve Genomics through collaboration and innovation. Genomics holds great promise for advancing our understanding of all living organisms. Technological advancements in Genomics continue to come at alarming rate; there are numerous complexities to consider. For the uninitiated, planning for an initial experiment and coping with data, can be overwhelming. To help guide discovery and development in Genomics and data management, we have assembled leading experts, both academic and industry, to share their work and experiences. The objective of this symposium is to provide a forum for sharing, learning, and networking. The symposium is open to anyone who is interested in Genomics and data! We close off the day with a poster competition and social, where cash prizes are awarded, $250 for first prize! If you have interest in entering the poster competition, please make sure to check off the box when you register online.

    The geXc symposia series is now in its 4th year! We have attracted over 4000 attendees, and all our events are very well received, truly enabling collaboration and innovation in Genomics. Due to the gracious contributions from the sponsors, this event is free to all. Breakfast, lunch, coffee breaks, and the social are provided at no cost to attendees thanks to our sponsors. The geXc Scripps 2016 sponsors include D-MARK Biosciences, Panasas, Illumina, Western Digital, HGST, SanDisk,, General Atomics, and Lab7. Attendance is free; however, registration is required. You can learn more, register, and download the full agenda at . We look forward to welcoming you at geXc Scripps 2016.


    The ability to sing in tune or clap in rhythm? Attractiveness to mosquitos? Difficulty hearing conversations in loud areas? These are all things that 23andMe asks about, meaning they are things the company can begin to analyze, figuring out where genetics matter and how.

    "We're just scratching the surface of our understanding," founder Anne Wojcicki said earlier this year.
    Resources: Moving to human microbiome data
    Submitted by Craig Smith; posted on Thursday, November 10, 2016

    Repositive collects fragmented microbiome data into one FREE 21,000 dataset collection.

    A microbiome is the genome of a microbiota, which is a collection of microorganisms found in a particular ecosystem. Though this field is still in its infancy, more and more scientists are turning to the study of the metagenome of our microbiota to try to understand how they affect our health and wellbeing. Only now are we beginning to unravel these microbial secrets by metagenomics, a unique approach that samples entire microbial ecosystems in a single experiment.

    Read more about this collection here:[...]data/

    Nov 29 - Dec 2, 2016
    National Institutes of Health
    9000 Rockville Pike
    Bethesda, MD, USA[...]mblab


    Predicting the effect of a mutation on the structure and function of a protein is not just for researchers with super-computer facilities. Thanks to public cloud computing options, anyone with basic molecular biology background can setup and run compute intensive computational modeling and dynamics experiments.


    Participants will get a brief hands-on introduction to the R platform, followed by hands-on walkthrough for creating several different popular plots, graphs and maps. We will start from formatting data and go all the way to loading data, setting parameters, creating the images and saving the outputs.

    Hands-on Skills/Tools Taught:
    • Ab initio protein structure modeling: QUARK / Rosetta
    • Remote homology detection: HHpred
    • Fragment-based protein structure modeling: Phyre2
    • Homology-based protein structure modeling: I-TASSER, MODELLER
    • Protein structure quality analysis: PROCHECK, WHAT_IF, Verify3D, PDB-REDO
    • Protein structure refinement: ModRefiner, ModLoop, Ramachandran plot
    • Macromolecular visualization: VMD, USCF Chimera
    • Molecular dynamics: NAMD

    July 17-21, 2017
    Québec City, Canada

    The theme for the 21st Conference of the International Federation of Operational Research Societies (IFORS2017) is "OR/Analytics for a better world".

    Submission codes for "Computational Biology, Bioinformatics and Medicine" are 487840a2 or 63f29998.

    At you may see the Main Areas and their responsible PC members (


    Opening of abstract submission: November 1st, 2016
    Registrations opening: January 16, 2017
    Deadline for abstract submission: February 10, 2017
    Review period: February 10 to March 10, 2017
    Authors notification: March 10, 2017
    Deadline of the early bird rate for registration: April 15, 2017
    Deadline of the regular rate for registration: May 31, 2017
    Resources: Repositive is now the largest portal for human genomic data
    Submitted by Craig Smith; posted on Tuesday, October 18, 2016

    The number of datasets discoverable through the Repositive platform has now reached over one million, making Repositive the world's largest portal for accessing human genomic data.

    Repositive, a software company developing novel tools to improve access to human genomic research data, has expanded the number of datasets now available on its free platform to include 1,006,914 datasets from 32 different global data sources.

    The Repositive team has been expanding the range of datasets available by incorporating public data, privately held data, and has continued to add specialist dataset collections including Chinese control data, Methylation data and Expression data.

    Read more:[...]rtal/




    Scientists have found some toxic DNA lurking inside a virus that infects bacteria. In addition to its own genes, the virus holds a gene for black widow spider venom and DNA from other animals, the researchers found. The findings suggest that either the virus snagged this foreign genetic material or that these other animals have stolen DNA from the virus, the researchers said.

    Future research could find that such swapping across domains of life, from the most complex to the most ancient, is more common than previously thought, scientists say.

    Nov 15-17 ,2016
    National Institutes of Health
    9000 Rockville Pike
    Building 60, Room 162
    Bethesda, MD, USA[...]mblab


    Participants will get a brief hands-on introduction to the R platform, followed by hands-on walkthrough for creating several different popular plots, graphs and maps. We will start from formatting data and go all the way to loading data, setting parameters, creating the images and saving the outputs.

    Hands-on Skills/Tools Taught:
    • Heat maps
    • Scatterplots
    • Regression lines
    • Density plots
    • And more


    Participants will work with RStudio. A copy of all the scripts used in the class to create plots, graphs and maps would be provided to the participants at the end of the training. Participants will also receive a cookbook style manual for all the hands-on exercises. After training support is also provided through exclusive members only forum.
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