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Showing 1–50 of 228 results
Advanced filters: Author: Le Hua Wang Clear advanced filters
  • Identifying jets originating from heavy quarks plays a fundamental role in hadronic collider experiments. In this work, the ATLAS Collaboration describes and tests a transformer-based neural network architecture for jet flavour tagging based on low-level input and physics-inspired constraints.

    • G. Aad
    • E. Aakvaag
    • L. Zwalinski
    ResearchOpen Access
    Nature Communications
    Volume: 17, P: 1-22
  • Federated learning (FL) algorithms have emerged as a promising solution to train models for healthcare imaging across institutions while preserving privacy. Here, the authors describe the Federated Tumor Segmentation (FeTS) challenge for the decentralised benchmarking of FL algorithms and evaluation of Healthcare AI algorithm generalizability in real-world cancer imaging datasets.

    • Maximilian Zenk
    • Ujjwal Baid
    • Spyridon Bakas
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-20
  • A large genome-wide association study of more than 5 million individuals reveals that 12,111 single-nucleotide polymorphisms account for nearly all the heritability of height attributable to common genetic variants.

    • Loïc Yengo
    • Sailaja Vedantam
    • Joel N. Hirschhorn
    ResearchOpen Access
    Nature
    Volume: 610, P: 704-712
  • Association analyses that capture rare and noncoding variants in whole genome sequencing data are limited by factors like statistical power. Here, the authors present KnockoffScreen, a statistical method using the knockoff framework to detect, localise and prioritise rare and common risk variants at genome-wide scale.

    • Zihuai He
    • Linxi Liu
    • Iuliana Ionita-Laza
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-18
  • This study applied a high-throughput sequencing approach to analyse Arabidopsis DCL1 cleavage. DCL1 cleavage preferences are governed by the GHR motif, which is conserved across plant species and has a role in the biogenesis of non-canonical 22-nucleotide microRNAs.

    • Thi Nhu-Y Le
    • Trung Duc Nguyen
    • Tuan Anh Nguyen
    Research
    Nature Plants
    Volume: 11, P: 1528-1543
  • In this study, authors use molecular dynamics simulations to explore why Tantalum (Ta) and Zirconium (Zr) have different glass-forming abilities. It is shown that Ta’s lower critical cooling rate is due to stronger competing ordering effects and local icosahedral structures, which influence crystallisation pathways.

    • Yuan-Chao Hu
    • J. T. Zhai
    • Hajime Tanaka
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-15
  • Diarrhoea is a major cause of morbidity and mortality in China. Here, the authors present results from a large sentinel surveillance scheme from 217 hospitals in all 31 provinces in mainland China, including ~150,000 patients with acute diarrhoea and covering years 2009-2018.

    • Li-Ping Wang
    • Shi-Xia Zhou
    • Jun Wang
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-12
  • China operates a national surveillance program for acute respiratory infections and sampled over 200,000 patients between 2009–2019. Here, the authors present results from this program and describe patterns by age, pathogen type, presence of pneumonia, and season.

    • Zhong-Jie Li
    • Hai-Yang Zhang
    • Jun Wang
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-11
  • The flagship paper of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium describes the generation of the integrative analyses of 2,658 cancer whole genomes and their matching normal tissues across 38 tumour types, the structures for international data sharing and standardized analyses, and the main scientific findings from across the consortium studies.

    • Lauri A. Aaltonen
    • Federico Abascal
    • Christian von Mering
    ResearchOpen Access
    Nature
    Volume: 578, P: 82-93
  • Analysis of cancer genome sequencing data has enabled the discovery of driver mutations. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium the authors present DriverPower, a software package that identifies coding and non-coding driver mutations within cancer whole genomes via consideration of mutational burden and functional impact evidence.

    • Shimin Shuai
    • Federico Abascal
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-12
  • Multi-omics datasets pose major challenges to data interpretation and hypothesis generation owing to their high-dimensional molecular profiles. Here, the authors develop ActivePathways method, which uses data fusion techniques for integrative pathway analysis of multi-omics data and candidate gene discovery.

    • Marta Paczkowska
    • Jonathan Barenboim
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-16
  • A genome-wide association meta-analysis study of blood lipid levels in roughly 1.6 million individuals demonstrates the gain of power attained when diverse ancestries are included to improve fine-mapping and polygenic score generation, with gains in locus discovery related to sample size.

    • Sarah E. Graham
    • Shoa L. Clarke
    • Cristen J. Willer
    Research
    Nature
    Volume: 600, P: 675-679
  • Understanding brain function requires integrating neuronal structure, activity, and genes. Here, authors developed an optogenetic tool they name Pisces, to enable complete labeling of individual neurons’ morphology with functional and molecular profiling, allowing multimodal single-cell analysis in vivo in zebrafish.

    • Rong-Kun Tao
    • Le Sun
    • Jiu-Lin Du
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-14
  • The authors collate literature on the responses of bird assemblages to forest loss and show that locations with a more variable natural environment and a longer history of agricultural land use have bird assemblages that are more tolerant to forest loss.

    • Fangyuan Hua
    • Weiyi Wang
    • Paul R. Elsen
    Research
    Nature Ecology & Evolution
    Volume: 8, P: 251-266
  • With the generation of large pan-cancer whole-exome and whole-genome sequencing projects, a question remains about how comparable these datasets are. Here, using The Cancer Genome Atlas samples analysed as part of the Pan-Cancer Analysis of Whole Genomes project, the authors explore the concordance of mutations called by whole exome sequencing and whole genome sequencing techniques.

    • Matthew H. Bailey
    • William U. Meyerson
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-27
  • Entanglement was observed in top–antitop quark events by the ATLAS experiment produced at the Large Hadron Collider at CERN using a proton–proton collision dataset with a centre-of-mass energy of √s  = 13 TeV and an integrated luminosity of 140 fb−1.

    • G. Aad
    • B. Abbott
    • L. Zwalinski
    ResearchOpen Access
    Nature
    Volume: 633, P: 542-547
  • A quantum microsatellite, with a payload weighing only 23 kilograms, in combination with portable ground stations that weigh merely 100 kilograms, is capable of performing space-to-ground real-time quantum key distribution.

    • Yang Li
    • Wen-Qi Cai
    • Jian-Wei Pan
    Research
    Nature
    Volume: 640, P: 47-54
  • Understanding deregulation of biological pathways in cancer can provide insight into disease etiology and potential therapies. Here, as part of the PanCancer Analysis of Whole Genomes (PCAWG) consortium, the authors present pathway and network analysis of 2583 whole cancer genomes from 27 tumour types.

    • Matthew A. Reyna
    • David Haan
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-17
  • Analyses of 2,658 whole genomes across 38 types of cancer identify the contribution of non-coding point mutations and structural variants to driving cancer.

    • Esther Rheinbay
    • Morten Muhlig Nielsen
    • Christian von Mering
    ResearchOpen Access
    Nature
    Volume: 578, P: 102-111
  • Integrative analyses of transcriptome and whole-genome sequencing data for 1,188 tumours across 27 types of cancer are used to provide a comprehensive catalogue of RNA-level alterations in cancer.

    • Claudia Calabrese
    • Natalie R. Davidson
    • Christian von Mering
    ResearchOpen Access
    Nature
    Volume: 578, P: 129-136
  • Whole-genome sequencing data for 2,778 cancer samples from 2,658 unique donors across 38 cancer types is used to reconstruct the evolutionary history of cancer, revealing that driver mutations can precede diagnosis by several years to decades.

    • Moritz Gerstung
    • Clemency Jolly
    • Christian von Mering
    ResearchOpen Access
    Nature
    Volume: 578, P: 122-128
  • The authors present SVclone, a computational method for inferring the cancer cell fraction of structural variants from whole-genome sequencing data.

    • Marek Cmero
    • Ke Yuan
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-15
  • In this study the authors consider the structural variants (SVs) present within cancer cases of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium. They report hundreds of genes, including known cancer-associated genes for which the nearby presence of a SV breakpoint is associated with altered expression.

    • Yiqun Zhang
    • Fengju Chen
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-14
  • Cancers evolve as they progress under differing selective pressures. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, the authors present the method TrackSig the estimates evolutionary trajectories of somatic mutational processes from single bulk tumour data.

    • Yulia Rubanova
    • Ruian Shi
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-12
  • Viral pathogen load in cancer genomes is estimated through analysis of sequencing data from 2,656 tumors across 35 cancer types using multiple pathogen-detection pipelines, identifying viruses in 382 genomic and 68 transcriptome datasets.

    • Marc Zapatka
    • Ivan Borozan
    • Christian von Mering
    ResearchOpen Access
    Nature Genetics
    Volume: 52, P: 320-330
  • Many tumours exhibit hypoxia (low oxygen) and hypoxic tumours often respond poorly to therapy. Here, the authors quantify hypoxia in 1188 tumours from 27 cancer types, showing elevated hypoxia links to increased mutational load, directing evolutionary trajectories.

    • Vinayak Bhandari
    • Constance H. Li
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-10
  • The moth Plutella xylostella during its larval stage is the host of the endoparasitic wasp Cotesia vestalis. Here the authors show that the parasitoids deliver microRNAs to their hosts through their symbiotic virus and specialized cells leading to induced developmental delay.

    • Zhi-zhi Wang
    • Xi-qian Ye
    • Xue-xin Chen
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-9
  • A finer understanding of complex mechanisms governing Li-ion batteries performance demands operando techniques. Here, the authors combine fibre-optic infrared spectroscopy with multivariate regression chemometrics to reveal the dynamics and composition of the solid electrolyte interphase.

    • Cédric Leau
    • Yu Wang
    • Jean-Marie Tarascon
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-14
  • There’s an emerging body of evidence to show how biological sex impacts cancer incidence, treatment and underlying biology. Here, using a large pan-cancer dataset, the authors further highlight how sex differences shape the cancer genome.

    • Constance H. Li
    • Stephenie D. Prokopec
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-24
  • In somatic cells the mechanisms maintaining the chromosome ends are normally inactivated; however, cancer cells can re-activate these pathways to support continuous growth. Here, the authors characterize the telomeric landscapes across tumour types and identify genomic alterations associated with different telomere maintenance mechanisms.

    • Lina Sieverling
    • Chen Hong
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-13
  • Whole-genome sequencing data from more than 2,500 cancers of 38 tumour types reveal 16 signatures that can be used to classify somatic structural variants, highlighting the diversity of genomic rearrangements in cancer.

    • Yilong Li
    • Nicola D. Roberts
    • Christian von Mering
    ResearchOpen Access
    Nature
    Volume: 578, P: 112-121
  • Some cancer patients first present with metastases where the location of the primary is unidentified; these are difficult to treat. In this study, using machine learning, the authors develop a method to determine the tissue of origin of a cancer based on whole sequencing data.

    • Wei Jiao
    • Gurnit Atwal
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-12
  • The characterization of 4,645 whole-genome and 19,184 exome sequences, covering most types of cancer, identifies 81 single-base substitution, doublet-base substitution and small-insertion-and-deletion mutational signatures, providing a systematic overview of the mutational processes that contribute to cancer development.

    • Ludmil B. Alexandrov
    • Jaegil Kim
    • Christian von Mering
    ResearchOpen Access
    Nature
    Volume: 578, P: 94-101
  • Here the authors report single-nucleus RNA sequencing for several anatomical locations in 11 species, including cat, dog, hamster, lizard, goat, rabbit, duck, pigeon, pangolin, tiger, and deer, highlighting coexpression of SARS-CoV-2 entry factors ACE2 and TMPRSS2.

    • Dongsheng Chen
    • Jian Sun
    • Xun Xu
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-17