Devika Ganesamoorthy

217 posts

Devika Ganesamoorthy

Devika Ganesamoorthy

@DevikaGanes

Scientist @qldhealth previously Research Fellow @childhealthqld. Interested in genomic variation, non-invasive diagnostics, cancer and rapid diagnosis

Brisbane, Queensland Katılım Haziran 2017
519 Takip Edilen302 Takipçiler
Alicia Oshlack
Alicia Oshlack@AliciaOshlack·
Andreas Halman decided the community needed a free and effective software tool for screening literature for systematic reviews. Here we present Catchii catchii.org
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Liz Worthey
Liz Worthey@lizworthey·
DG: The goal is to identify the shared and the unique pathways between the comparisons based on differential expression analysis - developed multiGO. It provides enrichment analysis visualizations for differential expression experiments with multiple comparisons #AGTA22
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Ming "Tommy" Tang
Ming "Tommy" Tang@tangming2005·
10 courses/books to learn bioinformatics 🧵👇
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Ming "Tommy" Tang
Ming "Tommy" Tang@tangming2005·
5 websites to analyze GEO RNAseq data without a single line of code:👇🧵
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Trish Gilholm
Trish Gilholm@TrishGilholm·
Feel incredibly honoured to have won best oral presentation! Was a fantastic day of presentations, showcasing the diverse research undertaken at #CCHR! Thank you to the @ChildHealthEMCR organising committee for putting everything together @CraigMunns2 #ChildHealth2022
Child Health EMCR@ChildHealthEMCR

It turns out this was a prize winning presentation! @TrishGilholm won best oral presentation at #ChildHealth2022. Dr Gilholm is an active member of the EMCR committee and we would like to congratulate her for her award 🎉 We will tweet out all our winners next week.

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A/Prof Kristen Gibbons
A/Prof Kristen Gibbons@DrKGibbons·
Fantastic presentation by @DevikaGanes at @ChildHealthEMCR Symposium on our work developing novel gene signatures for rapid diagnosis of #sepsis in children 🔬. Translation of this work may improve access to timely and appropriate treatment of sepsis. @CraigMunns2
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Science Magazine
Science Magazine@ScienceMagazine·
The #HumanCellAtlas consortium aims to map every cell type in the human body. In Science, researchers report a key feat: detailed maps of over a million individual cells across 33 organs, representing the most comprehensive, cross-tissue cell atlases to date. (THREAD) 🧵
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