Anna Trigos
@anna_t_g
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Head of the Multi-omics Evolution and Ecosystems lab at the Peter MacCallum Cancer Center. PCF Young Investigator.
Melbourne, Australia
Joined December 2015
RT @VicCanBioinf: 📢 Registrations and Abstract submissions are now open for Cancer Bioinformatics Australia! Abstracts: 26th April https…
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RT @VicCanBioinf: Excited to relaunch this account as: Cancer Bioinformatics Australia. CBA is a one day symposium that is a national exp…
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RT @VCFGconnect: senior bioinformatician position open - joint with the Bioinformatics, Molecular Genomics and VCFG - leading dev of MAC-s…
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Super happy to be awarded a L'Oreal-UNESCO Fellowship for Women in Science!
Meet #FWIS Fellow Dr @anna_t_g of @PeterMacCC 🩺 Her area of study? “What can the cosmos teach us about Cancer?” #FWIS
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Closing Monday! Postdoc in computational biology to work on multi-omics spatial and single-cell datasets. Scope for method development and data analysis. Questions range from understanding cancer evolution to identifying biomarkers and targets.
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Great to see my lab's single cell and spatial work being presented on the #PCFRetreat23 stage as part of our @PCF_Science Tactical Award. Looking forward to the scientific and clinical advances this award will enable @PCFnews @DrMHofman @PeterMacRes
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I'm hiring! Are you looking for a postdoc position in computational biology? Are you interested in cancer and working with unique patient tissue omics datasets (spatial, single-cell, bulk)? Do you want to work at the amazing Peter Mac in Melbourne? ->
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I am delighted to share the news that I will be starting my own lab at @PeterMacRes next week! Thanks to everyone who has supported me throughout my career, too many to fit in a tweet. Looking forward to doing some amazing science with my team!
Congratulations to @anna_t_g on her appointment to Group Leader in Lab Research as part of the #ComputationalBiology Program. The Trigos lab will focus on understanding Cancer Evolution, Plasticity & Ecosystems using multi-omics and computational methods.
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RT @mattfield100: Reminder of NHMRC grant workshop for bioinformaticians Mon 11am. Overview of schemes and panel discussion with Matt Ritch…
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RT @elaine_sanij: Join us on our mission to find better treatments for multiple myeloma. We have a postdoc position available to work on in…
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Thank you to all our collaborators and @yuzhou_feng who has been developing this work since 2020. Thanks to @nhmrc for funding this work through their Ideas grants scheme.
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Ten spatial metrics are benchmarked using simulated data generated with spaSim and we show how SPIAT can uncover cancer immune subtypes correlated with prognosis in cancer and characterise cell dysfunction in diabetes.
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spaSim simulates common spatial patterns we've seen in tumour and normal tissues, which can then be used to benchmark methods
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SPIAT consists of 6 analysis modules that allows for distance-based analyses, visualisations, measuring cell co-localization with multiple spatial metrics, measuring spatial heterogeneity, neighbourhood and cluster analysis, and identifying tissue regions.
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