Anelia Horvath

33 Followers
53 Following
20 Posts
Scientist, Single Cell Expressed Mutations Single Cell Genomics and Bioinformatics 
Professor in Genomics, George Washington University
Director, McCormick Genomic and Proteomic Center
Reward your students with "Single Cell Genomics Moving Forward" (29–31 March 2023, Barcelona) and let them present your lab research and learn from our outstanding speakers (student registration €200, and a special student oral presentations session; deadline 20 Jan) #Genes2023
Join us in the beautiful city of Barcelona for "Single-Cell Genomics Moving Forward" March 29-31 (abstracts deadline - Jan 20,2023) https://genes2023.sciforum.net
Our goal is to facilitate new collaboration on the interface of SC omics and AI, and to inspire students! Happy New 2023!!!
Sciforum - Genes2023

Genes 2023 - Single-Cell Genomics Moving Forward

👏So excited to announce that Dr. Manel Esteller will join our #Genes2023 Conference "Single-Cell Genomics Moving Forward" as Keynote Speaker!
SCExecute: custom cell barcode-stratified analyses of scRNA-seq data

AbstractMotivation. In single-cell RNA-sequencing (scRNA-seq) data, stratification of sequencing reads by cellular barcode is necessary to study cell-specific f

OUP Academic
A great preprint on population-level integration of single-cell datasets
#bioinformatics #cellbiology #biology #RNA #genomics #datascience #artificialintelligence
Please RT: Great talks on allele expression in single cells: on dosage dynamics by @BReinius and on somatic mutations by @HorvathALab. #cellbiology #datascience #biology #genome #Genes2023
come meet us!
Abstract Deadline: 15 Dec 2022 https://genes2023.sciforum.net/#EventSpeakers
Sciforum - Genes2023

Genes 2023 - Single-Cell Genomics Moving Forward

Tumor aneuploidy predicts survival following immunotherapy across multiple cancers - Nature Genetics

Reanalysis of the immunotherapy-treated MSK-IMPACT cohort finds that chromosomal arm-level aneuploidy scores are an independent predictor of survival for patients with low tumor mutational burden.

Nature

RT @[email protected]

Don’t miss out on this great opportunity to drive your own transatlantic #postdoc! @[email protected] & @[email protected] want to hear your ideas to boost their collaboration on applying integrative machine learning to decipher genome function.
http://stan.md/3NKAyfA

🐦🔗: https://twitter.com/LiSciAlliance/status/1597202112316071937

Integrative machine learning to decipher genome function

Life Science Alliance
Functional analysis of structural variants in single cells using Strand-seq https://bit.ly/3EBUY62
@nature #rna #cellbiology
Functional analysis of structural variants in single cells using Strand-seq - Nature Biotechnology

Linking structural variants to gene expression information identifies aberrant signaling pathways.

Nature