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Genome Biology is calling for submissions to the Collection on "Advances in spatial transcriptomics for understanding development and disease", guest edited by Stefania Giacomello, Johanna Klughammer, and Xiang Zhou. For more details: biomedcentral.com/collections/as…

CNETML presented by Bingxin Lu Kit Curtius Trevor Graham Ziheng Yang's Group CSSB Lab &co UCL is a new maximum likelihood method to infer phylogenies based on copy number profiles from multiple samples of patients which are helpful to understand #cancerevolution bit.ly/3pbeWBd

New #stemcell research from @RushworthLab & co. UEA Earlham Institute giving a unique insight into hematopoietic stem cell reactivation upon platelet depletion and of clonal dynamics in both steady state & under stress bit.ly/3CPjfVL

ExplaiNN, presented by Wyeth Wasserman Gherman Novakovsky (слава Україні! 🇺🇦) Oriol Fornés Manu Saraswat Sara Mostafavi is a #deeplearning model using an interpretable neural network design, providing both global and local biological insights without compromising on performance bit.ly/46AVheS

Today we launched a collection with the AVE Alliance Atlas of Variant Effects Alliance related to Multiplexed Assays of Variant Effect. This collection also features their vision for a comprehensive atlas characterising the function of every variant in the human genome! biomedcentral.com/collections/to…

SEESAW, presented by @FennecPaaaw Michael Love & co. UNC-Chapel Hill is a new suite of methods for quantifying and testing AI, offering analysis at various levels of resolution compared to existing methods for detecting when there is isoform-level imbalance bit.ly/44SfbQB

📣 Check out the first published papers BMC Global and Public Health ! Congrats! Our new sibling is growing up! 🎉😉

New research from Sergio Villicaña Jordana Bell & co. King's College London, with findings that improve the characterisation of the mechanisms underlying DNA methylation variability & are informative for prioritisation of GWAS variants for functional follow-ups bit.ly/3qh5pJi

Maast, a bioinformatics tool, presented by Zhou Jason Shi, Stephen Nayfach & Katherine Pollard Chan Zuckerberg Biohub Network Joint Genome Institute implements a novel algorithm to heuristically identify a minimal set of diverse conspecific genomes, enabling rapid and accurate genotyping bit.ly/3s8vw5O

BamQuery, a proteogenomic tool presented by Maria Virginia Ruiz Cuevas Gregory Ehx & co. IRIC enables for the first time a uniformization of proteogenomic analyses in MHC-I immunopeptidomics, due to its exhaustivity, speed, ease of use & versatility bit.ly/3OD34QY

GTM-decon, presented by Lakshmipuram Seshadri Swapna, Michael Huang & Yue Li McGill University is an efficient marker-free deconvolution method that takes the full advantage of the single-cell RNA-seq reference data for cell-type deconvolution bit.ly/45F0v82

New #cancerresearch from Qian-Fei Wang, Shaoyan Hu & co. revealing leukemia stem cells and OXPHOS as two major chemoresistant features in human AML patients, suggesting important implications for targeting residual chemo-surviving AML cells bit.ly/3qUppSb

DISCERN, presented by Stefan Bonn & co. is a novel deep generative network that precisely reconstructs missing single-cell gene expression using a reference dataset, which can easily be applied to a variety of data sets yielding novel insights bit.ly/3td1kqG

aMeta, presented by Zoé Pochon & co. is an accurate metagenomic profiling workflow for ancient DNA designed to minimize the amount of false discoveries and computer memory requirements, likely to be of broad utility for the ancient metagenomics field bit.ly/3QdVblW

New research from Computational Systems Biology Lab Hao Lawrence Huang & co. University of Sydney providing a reference for future development and application of #deeplearning based feature selection methods for single-cell omics data analyses bit.ly/47xz54N

New research from Min Wu, Yong Xiao, Ming-Kai Chen & co. Wuhan University illustrating the genome-wide landscape & regulatory mechanisms of m3Es in colorectal cancer, and revealing potential novel strategies for #cancertreatment bit.ly/47P8259

SQANTI-SIM, presented by AnaConesa Conesa Lab & co. enables the simulation of realistic novel transcripts based on the reference annotation, and is an essential tool for the benchmarking of lrRNA-seq methods for new transcript detection bit.ly/3RkPzGZ

ChIPr, from Abbas, Zhang, Ram Mani & co, a new method to predict 3D chromatin structure from ChIP-seq data. They demonstrate using RAD21 data, and show the method's predictions correlate well with HiC and ChIA-PET results. genomebiology.biomedcentral.com/articles/10.11…

📢Join us as an Associate or Senior Editor in either our 🇺🇸NY, Philly or 🇨🇳Shanghai offices. If you have expertise in #singlecell or #spatial #bioinformatics, #crispr, #microbiome or #metagenomics methods -> apply before 22May! 🗓️ more info: performancemanager5.successfactors.eu/sf/jobreq?jobI…

Genome Biology is calling for submissions to the Collection "Genome editing and cancer", guest edited by Emanuel Gonçalves (@emanuelvgo) and Xueqiu Lin (Xueqiu Lin). For more details: biomedcentral.com/collections/ge… #CRISPR #geneediting