Sanger Science

  • Mo Lotfollahi, group leader at the Wellcome Sanger Institute uses AI to predict cells' responses to disease and drugs
    26 September 20246.6 min read

    Predicting cell responses to disease and drugs with AI

    Mo Lotfollahi joined the Wellcome Sanger Institute in April as a new Group Leader in the Cellular Genetics programme. Mo works with wet lab scientists and bioinformaticians to develop generative AI models for predicting cellular responses.

  • Mouse chromosomes at the pachytene stage of meiosis. The green stain highlights the synaptonemal complex, the blue stain shows the loosely condensed DNA and the red stain shows the tumour suppressor protein, BRCA1. Credit: MRC NIMR, Wellcome Images
    13 December 20133.7 min read

    Lost in translation

    13.12.13: Mice are thought to share around 95 per cent of genes with humans. Despite this conservation and many successful studies, researchers should be cautious about conclusions drawn from mouse models, says Carla Daniela Robles-Espinoza.

  • Artwork showing repeated images of hearts with electrocardiogram traces. Credit: Neil Leslie, Wellcome Images
    9 December 20133.8 min read

    Getting to the heart of coronary artery disease

    09.12.13: When searching for the genetic causes of heart disease, Deepti Gurdasani explains, it’s important to distinguish between the lipids that cause the disease and those that are simply associated with it.

  • 5 December 20133.8 min read

    Finding functions for DUF proteins

    05.12.13: A group of scientists is working to characterise some of the millions of proteins designated ‘Domain of Unknown Function’. Penny Coggill explains the project and reveals some early findings.

  • 3 December 20133.7 min read

    How malaria parasites choose between us and our evolutionary cousins

    03.12.13: Madushi Wanaguru talks about the challenges of studying the host-specificity of great ape malaria parasites, and the approach used by her team to circumvent these in the lab.

  • 28 November 20133.3 min read

    The rare diseases of mice and men

    28.11.13: The daunting task of searching a genome to find the variation responsible for producing a genetic disease from among up to 40,000 variants can be simplified by combining large-scale mouse model and exome data, says Damian Smedley.

  • 25 November 20134 min read

    Understanding the known unknowns of human gene annotation

    25.11.13: Annotating the human genome is not a short-term endeavour and, currently, it’s difficult even to know how much work we have ahead of us, says Jonathan Mudge.