Daniel D'Andrea

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

[Rahul Satija @satijalab]

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 https://t.co/zG98gkckMU. Please RT/spread the word!

[Maria Secrier @mariasecrier]

Delighted to share our most recent work looking at the genomic background, spatial and environmental heterogeneity of EMT in cancer, just published @NatureComms: https://t.co/gXuUFGET7p

[Daniel D'Andrea @didimo16]

🔜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

https://t.co/EzLEmcWBQS

[Maria Secrier @mariasecrier]

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: https://t.co/DKOmHHaOab #postdoc #cancer #bioinformatics

[Luciano Martelotto 🛠🧬💻🇦🇺 @LGMartelotto]

Which single-cell analysis tool is best? Scientists offer advice https://t.co/0e01gJi9j9

[Daniel D'Andrea @didimo16]

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

[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

https://t.co/EzLEmcWBQS

[Jeanne Bark @marc_herb]

Excellent review - highly recommended for reading!
@NatRevMCB @puigserver_lab

https://t.co/tlOjxVp83d

[The Innovation: a Cell Press partner journal @The_InnovationJ]

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
https://t.co/dFpWJ8EdXh

[R2 Free Online Genome Data Science Platform @r2_microarray]

#PancreaticCancer #PDAC single cell data set with 88000 cells.

Available in R2 ( https://t.co/zBD1I6LyZg ) online discovery platform for biomedical researchers w/o the need for #bioinformatics / #coding skills

[Daniel D'Andrea @didimo16]

@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.
https://t.co/AEMl1XCuCa

[Daniel D'Andrea @didimo16]

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
https://t.co/sLvy9xEs0o

[Prof. Nikolai Slavov @slavov_n]

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: https://t.co/pH4Rh3wQZv via @davisjmcc

[Jay Shendure @JShendure]

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.
https://t.co/QhBGNkJDMP

[Nature Metabolism @NatMetabolism]

#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

https://t.co/35lp98BSAp

[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

https://t.co/EzLEmcWBQS

[Alex Rosenberg @dna_rosenberg]

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.

[Simona Cristea @simocristea]

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)

[Anirban Maitra @Aiims1742]

Pan-cancer single-cell analysis reveals the heterogeneity and plasticity of cancer-associated fibroblasts in the tumor microenvironment
https://t.co/244zBeiofg
A dozen publicly available scRNA seq datasets were collated for this study. CAF Browser at:
https://t.co/aFKR7twYvm

[I Love Typography @ilovetypography]

Sunday Fun
Why Font Choice Matters

[Massimo @Rainmaker1973]

It's okay to feel stupid, especially doing science.

[source: https://t.co/MSeb4c9HEk]