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Bioinformatics & Algorithms

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The April 12 Open Dialogue Live event “Data and its Impact on Health” will examine how data from the COVID-19 pandemic can be used to influence public policy and potentially mitigate risks should another pandemic occur.
Wednesday, March 2, 2022
A team of researchers from Dalhousie and other Canadian organizations has discovered what could be the first link between a case of COVID-19 in deer and humans, suggesting in a new paper that the virus can be transmitted from wildlife to people.
Interdisciplinary PhD student, Jee In Kim's research explores how artificial intelligence and machine learning can help to combat antimicrobial resistance, which is when bacteria no longer responds to antibiotics
Tuesday, October 20, 2020
Researchers at Dalhousie and ocean data analytics innovation environment DeepSense have developed a machine learning method for predicting wind speed and wave height measurement — research with direct impact on managing safety in the Halifax Harbour.
Wednesday, August 15, 2018
Dr. Malcolm Heywood shares his insights with Sentient Technologies
Thinkers, philanthropists, community leaders, activists — meet the eight exceptional individuals who will be recognized at Spring Convocation ceremonies with an honorary Dalhousie degree.
Wednesday, October 4, 2017
Graduating with a Masters of Computational Biology and Bioinformatics (CBBI), Emma Sylvester is lining up an exciting career in the ocean sector.
Fram Dinshaw, The Chronicle Herald  –  Research, Bioinformatics & Algorithms, Faculty, News, Innovation, Research
Friday, September 16, 2016
A Dalhousie scientist is leading the way in pinpointing and analyzing antibiotic resistance in bacteria by profiling the DNA of entire communities of microbes
Faculty of Computer Science  –  Graduate, Students, Students, Research, Bioinformatics & Algorithms, Faculty, News, Research
Monday, June 13, 2016
The process of decoding DNA sequences produces an avalanche of data - and finding the meaning and knowledge hidden in that data is a challenge being tackled today by computer scientists. They’re the researchers who work with algorithms and focus on interpreting genetic data instead of the messy business of samples and test tubes.
The Faculty of Computer Science was awarded ten NSERC Engage Grants, making up 5% of the national total awarded.
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