이번 주 논문들

6월 3주차

Cho et al. 2022. 6. 17.

Longitudinal monitoring of disease burden and response using ctDNA from dried blood spots in xenograft models (embopress.org)

Signatures of copy number alterations in human cancer | Nature

 

Signatures of copy number alterations in human cancer - Nature

A new framework enables a pan-cancer reference set of copy number signatures derived from allele-specific profiles from different experimental assays.

www.nature.com

A pan-cancer compendium of chromosomal instability | Nature

Mutation and tissue lineage lead to organ-specific cancer (nature.com)

Epigenomic and transcriptomic analyses define core cell types, genes and targetable mechanisms for kidney disease | Nature Genetics

Allelic imbalance of chromatin accessibility in cancer identifies candidate causal risk variants and their mechanisms | Nature Genetics

Genetic analysis of right heart structure and function in 40,000 people | Nature Genetics

800-year-old graves pinpoint where the Black Death began | Science | AAAS

 

800-year-old graves pinpoint where the Black Death began

Ancient DNA from cemeteries in today’s Kyrgyzstan reveal earliest known victims of 14th century plague

www.science.org

A $100 genome? New DNA sequencers could be a ‘game changer’ for biology, medicine | Science | AAAS

 

A $100 genome? New DNA sequencers could be a ‘game changer’ for biology, medicine

“This is the year of the big shake-up.”

www.science.org

A chemoenzymatic strategy for site-selective functionalization of native peptides and proteins (science.org)

The clinical progress of mRNA vaccines and immunotherapies | Nature Biotechnology

Cell types of origin of the cell-free transcriptome | Nature Biotechnology

 

Cell types of origin of the cell-free transcriptome - Nature Biotechnology

Cell types affected by various diseases are inferred from cell-free RNA.

www.nature.com

Identification of antimicrobial peptides from the human gut microbiome using deep learning | Nature Biotechnology

Using deep learning to annotate the protein universe | Nature Biotechnology

EagleC: A deep-learning framework for detecting a full range of structural variations from bulk and single-cell contact maps (science.org)

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