Bioinformatics

Bioinformatics is a field of study that uses computation to extract knowledge from biological data. It includes the collection, storage, retrieval, manipulation and modelling of data for analysis, visualization or prediction through the development of algorithms and software.

Latest Research and Reviews

  • Research |

    Genomic analysis of 551 esophageal adenocarcinomas identifies new driver mutations and biomarkers associated with poor prognosis. More than 50% of esophageal adenocarcinomas contain sensitizing events for CDK4/CDK6 inhibitors, thus providing an evidence base for targeted therapeutics.

    • Alexander M. Frankell
    • , SriGanesh Jammula
    • , Xiaodun Li
    • , Gianmarco Contino
    • , Sarah Killcoyne
    • , Sujath Abbas
    • , Juliane Perner
    • , Lawrence Bower
    • , Ginny Devonshire
    • , Emma Ococks
    • , Nicola Grehan
    • , James Mok
    • , Maria O’Donovan
    • , Shona MacRae
    • , Matthew D. Eldridge
    • , Simon Tavaré
    • , Rebecca C. Fitzgerald
    • , Ayesha Noorani
    • , Paul A. W. Edwards
    • , Nicola Grehan
    • , Barbara Nutzinger
    • , Caitriona Hughes
    • , Elwira Fidziukiewicz
    • , Shona MacRae
    • , Alex Northrop
    • , Gianmarco Contino
    • , Xiaodun Li
    • , Rachel de la Rue
    • , Annalise Katz-Summercorn
    • , Sujath Abbas
    • , Daniel Loureda
    • , Maria O’Donovan
    • , Ahmad Miremadi
    • , Shalini Malhotra
    • , Monika Tripathi
    • , Simon Tavaré
    • , Andy G. Lynch
    • , Matthew Eldridge
    • , Maria Secrier
    • , Ginny Devonshire
    • , Juliane Perner
    • , SriGanesh Jammula
    • , Jim Davies
    • , Charles Crichton
    • , Nick Carroll
    • , Peter Safranek
    • , Andrew Hindmarsh
    • , Vijayendran Sujendran
    • , Stephen J. Hayes
    • , Yeng Ang
    • , Andrew Sharrocks
    • , Shaun R. Preston
    • , Sarah Oakes
    • , Izhar Bagwan
    • , Vicki Save
    • , Richard J. E. Skipworth
    • , Ted R. Hupp
    • , J. Robert O’Neill
    • , Olga Tucker
    • , Andrew Beggs
    • , Philippe Taniere
    • , Sonia Puig
    • , Timothy J. Underwood
    • , Robert C. Walker
    • , Ben L. Grace
    • , Hugh Barr
    • , Neil Shepherd
    • , Oliver Old
    • , Jesper Lagergren
    • , James Gossage
    • , Andrew Davies
    • , Fuju Chang
    • , Janine Zylstra
    • , Ula Mahadeva
    • , Vicky Goh
    • , Francesca D. Ciccarelli
    • , Grant Sanders
    • , Richard Berrisford
    • , Catherine Harden
    • , Mike Lewis
    • , Ed Cheong
    • , Bhaskar Kumar
    • , Simon L. Parsons
    • , Irshad Soomro
    • , Philip Kaye
    • , John Saunders
    • , Laurence Lovat
    • , Rehan Haidry
    • , Laszlo Igali
    • , Michael Scott
    • , Sharmila Sothi
    • , Sari Suortamo
    • , Suzy Lishman
    • , George B. Hanna
    • , Krishna Moorthy
    • , Christopher J. Peters
    • , Anna Grabowska
    • , Richard Turkington
    • , Damian McManus
    • , Helen Coleman
    • , David Khoo
    • , Will Fickling
    •  & Rebecca C. Fitzgerald
  • Research | | open

    Ribosome-associated quality control (RQC) pathways monitor and respond to stalling of the translating ribosome. Here the authors show that the ribosome associated RQC factor Hel2/ZNF598, an E3 ubiquitin ligase, generally interacts with mRNAs in the vicinity of stop codons.

    • Marie-Luise Winz
    • , Lauri Peil
    • , Tomasz W. Turowski
    • , Juri Rappsilber
    •  & David Tollervey

News and Comment

  • News and Views |

    A new study discovered thousands of expression quantitative trait loci (eQTLs) in the renal glomerular and tubulointerstitial compartments and integrated these data with other omics data sets to identify genes with roles in the pathogenesis of chronic kidney disease. This report reinforces the necessity of using compartment-derived eQTLs to advance kidney genomic discovery.

    • Matthew G. Sampson
  • Research Highlights |

    A new computational method integrates RNA single-cell sequencing and spatial data.

    • Tal Nawy
    Nature Methods 15, 1000
  • Comments and Opinion |

    This Comment describes some of the common pitfalls encountered in deriving and validating predictive statistical models from high-dimensional data. It offers a fresh perspective on some key statistical issues, providing some guidelines to avoid pitfalls, and to help unfamiliar readers better assess the reliability and significance of their results.

    • Andrew E. Teschendorff
  • News and Views |

    Chromosome-scale assemblies are quickly becoming the standard for high-quality de novo reference plant genomes. Combining nanopore technology sequencing and optical map information is one way to achieve this.

    • Yves Van de Peer
    Nature Plants 4, 859-860
  • Comments and Opinion | | open

    To address a critical roadblock that can occur in translational and clinical research, the National Cancer Institute and the Food and Drug Administration, in coordination with the DREAM Challenges, are launching the first computational challenge using multi-omics datasets to detect and correct specimen mislabeling.

    • Emily Boja
    • , Živana Težak
    • , Bing Zhang
    • , Pei Wang
    • , Elaine Johanson
    • , Denise Hinton
    •  & Henry Rodriguez
    Nature Medicine 24, 1301-1302