Daniel D'Andrea

209 posts

Daniel D'Andrea

@didimo16

Lecturer in Bioinformatics, Nottingham - Cardiff - London - Rome - Naples.

Cardiff, Wales Katılım Eylül 2009

614 Takip Edilen125 Takipçiler

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Rahul Satija@satijalab·15 Şub

Interested in single cell genomics but need help getting started? Check out my lab's Single Cell Genomics Day on April 7. Talks will feature recent exciting computational and experimental advances and will be livestreamed at satijalab.org/scgd. Please RT/spread the word!

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Maria Secrier@mariasecrier·11 Şub

Delighted to share our most recent work looking at the genomic background, spatial and environmental heterogeneity of EMT in cancer, just published @NatureComms: nature.com/articles/s4146…

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Daniel D'Andrea@didimo16·5 Oca

🔜Deadline approaching (12th Jan 23) for a #PhD position @NTUSciTech @ntu_research @NTUDoctoral #Bioinformatics #omics #CancerResearch ⬇️⬇️

Daniel D'Andrea@didimo16

📢 Fully-funded #PhD #Studenship available @NTUSciTech If you are interested in #omics technologies and are excited to work on a novel therapeutic target for #ColorectalCancer, check the link👇and apply Please RT @ntu_research,@NTUDoctoral ntu.ac.uk/research/find-…

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Maria Secrier@mariasecrier·18 Ara

New bioinformatics postdoc position available in the group! If you're interesting in data analysis, method development and studying cancer evolution and cell state switches using rich bulk and single cell data, apply here: tinyurl.com/mr2jksrk #postdoc #cancer #bioinformatics

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Luciano Martelotto 🛠🧬💻🇦🇺@LGMartelotto·15 Ara

Which single-cell analysis tool is best? Scientists offer advice idp.nature.com/transit?redire…

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Daniel D'Andrea@didimo16·8 Ara

@BeGenomics @BioinfoUpdates @BinfoTrends @bioinfblogs @ngsbioinfo @Bioinformatic @bioinfozen @BioinfoUpdates

Daniel D'Andrea@didimo16

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Jeanne Bark@marc_herb·21 Kas

Excellent review - highly recommended for reading! @NatRevMCB @puigserver_lab nature.com/articles/s4158…

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The Innovation: a Cell Press partner journal@The_InnovationJ·28 Kas

New online! Single-cell technologies: From research to #application. Wen et al. reviewed the #experimental and #Bioinformatics methods for single-cell #research. Applications of Single-cell #technologies in various fields were also discussed. Read more doi.org/10.1016/j.xinn…

The Innovation: a Cell Press partner journal tweet media

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R2 Free Online Genome Data Science Platform@r2_microarray·19 Kas

#PancreaticCancer #PDAC single cell data set with 88000 cells. Available in R2 ( r2.amc.nl ) online discovery platform for biomedical researchers w/o the need for #bioinformatics / #coding skills

R2 Free Online Genome Data Science Platform tweet media

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Daniel D'Andrea@didimo16·15 Kas

@ThePhDPlace Hi,we have a fully-funded #PhD position @NTUSciTech to work on a novel therapeutic target for #ColorectalCancer. If you like #biointormatics and #omics technologies, check the link 👇and apply. ntu.ac.uk/research/find-…

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The PhD Place@ThePhDPlace·14 Kas

We want to make some connections. Introduce yourself and your research ⬇️

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Daniel D'Andrea@didimo16·15 Kas

Fully-funded #PhD #Studenship available to join us @NTUSciTech to work on a novel therapeutic target for #ColorectalCancer. See the link👇and apply. @H3ABioNet, @BioinfoHub_KE, @TACG_Group, @AceUganda, @AfricaCDC, @AASciences ntu.ac.uk/research/find-…

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Prof. Nikolai Slavov@slavov_n·18 Eki

The results of different methods applied to the same scRNA-seq data differ substantially. This is true even for fold changes, as shown below for Seurat and Scanpy. The differences between selected transcript "markers" are even larger: biorxiv.org/content/10.110… via @davisjmcc

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Jay Shendure@JShendure·20 Eki

Fantastically optimized and detailed single cell-RNA-seq protocol (variant of sci-RNA-seq3) developed by @bethkarenmartin, out in @NatureProtocols today, less than 1 cent per cell. tinyurl.com/34a9e8tp

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Nature Metabolism@NatMetabolism·11 Kas

#NatMetabPicks | In @NatureCellBio, the @PCHo_Lab (@unil) discuss the metabolic crosstalk between cancer cells & immune cells, & how this impacts immune surveillance & antitumor immune responses. #CancerResearch nature.com/articles/s4155…

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Daniel D'Andrea@didimo16·7 Kas

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Alex Rosenberg@dna_rosenberg·21 Tem

1/ We previously generated a 1M cell scRNA-seq dataset with 24 Type1 Diabetes/Control PBMC samples. Now Daniel Diaz, one of our Bioinformatics Application Scientists, has built a tutorial showing how you can easily analyze this dataset using existing single cell tools.

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Simona Cristea@simocristea·4 Eki

Cancer #immunotherapy #DataScience resource of the week: #scRNAseq & #scTCRseq atlas of 400,000‼️T cells from 316 patients of 21 cancer types, derived from tumors, adjacent normal tissue, and peripheral blood.Half of data newly sequenced, half gathered from literature. 🧵(1/4)

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Anirban Maitra@Aiims1742·4 Kas

Pan-cancer single-cell analysis reveals the heterogeneity and plasticity of cancer-associated fibroblasts in the tumor microenvironment #MOESM2" target="_blank" rel="nofollow noopener">nature.com/articles/s4146… A dozen publicly available scRNA seq datasets were collated for this study. CAF Browser at: gist-fgl.github.io/sc-caf-atlas/

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