Staying abreast of the latest advances and bright ideas emerging in a field as diverse as bioinformatics is challenging. The SIB Remarkable Outputs provide the global community with a shortlist of outstanding works produced during the year by our members. These outputs, selected by the SIB Award Committee, can include peer-reviewed publications, preprints, resources, software tools, databases, outreach programmes, science advocacy, etc.

  • A comprehensive catalogue of the mouse microbiota genome

    Group involved: Computational Evolutionary Genomics, led by Evgeny Zdobnov & Evgenia Kriventseva, Geneva.

    What the committee said about the work: “An excellent functional and taxonomic summary of the mouse gut metagenome, built using a solid bioinformatics pipeline. This is a great resource for researchers translating results from mouse to human.”

    Discover this Output

     

  • Annotating biologically relevant ligands in UniProtKB

    Group involved: Swiss-Prot, led by Alan Bridge, Geneva.

    What the committee said about the work: “Using the ChEBI small molecule ontology, UniProt curators reannotated ligand binding sites. This standardization enables easier and rational analysis, improving the quality of protein structure and drug target prediction.”

    Discover this Output

     

  • Biosynthetic potential of the global ocean microbiome

    Groups involved: Microbiome Research, led by Shinichi Sunagawa and Biomedical Informatics, led by Gunnar Rätsch, Zurich.

    Related resources: video abstract, Ocean Microbiomics Database

    What the committee said about the work: “Using a customized bioinformatics pipeline, over 26,000 genomes from all over the planet were analyzed to highlight their biosynthetic features. The Ocean Microbiomics Database provides access to these data.”

    Discover this Output

     

  • Detecting variants of the SARS-CoV-2 virus in wastewater

    Group involved: Computational Biology, led by Niko Beerenwinkel, Basel.

    What the committee said about the work: “ A remarkable example of how tools and databases developed by SIB groups can help the entire society."

    Discover this Output

     

  • Determining inheritance of genes in biobanks without parental genomes

    Group involved: Systems and Population Genetics, led by Olivier Delaneau and Statistical Genetics,  led by Zoltán Kutalik, Lausanne.

    What the committee said about the work: “A clever computational approach allowing to infer which genes an individual inherited from their parents without having any information on them. This enables studying whether the parental origin of a gene makes a difference for diseases and other traits.”

    Discover this Output

     

  • Enabling real time recording of gene expression in single cells

    Group involved: Systems Biology and Genetics, led by Bart Deplancke, Lausanne.

    What the committee said about the work: “Live-seq is a truly novel and innovative approach enabling experiments for profiling gene expression in live, individual cells over time, in ways that were previously impossible.”

    Discover this Output

     

  • FAIR principles in practice for health data

    Group involved: Personalized Health Informatics, led by Katrin Crameri, Basel.

    Related resource: SPHN DCC Training

    What the committee said about the work: "An excellent resource for FAIR data training and awareness. It is a valuable general introduction, presenting the guiding principles in a well-structured format with practical explanations.”

    Discover this Output

     

  • Making DNA sequencing data more accessible

    Group involved: Biomedical informatics, led by Gunnar Rätsch, Zurich.

    What the committee said about the work: “By allowing DNA databases to be indexed without losing information and fully searchable, once-daunting data sets can now become powerful resources for biomedical research. A major step to making DNA sequencing data accessible to wider audiences.”

    Discover this Output

     

  • The genomic origins of the world’s first farmers

    Groups involved: Computational and Molecular Population Genetics, led by Laurent Excoffier,   Bern and Statistical and Computational Evolutionary Biology, led by Daniel Wegmann, Fribourg.

    Related resource: News release

    What the committee said about the work: “This study makes a significant contribution to our knowledge of human history and agricultural origins. It emphasises the crucial role that informatics and genomics play in uncovering our shared history.”

    Discover this Output

     

  • The impact of gene duplication or deletion on complex human traits

    Group involved: Statistical Genetics, led by Zoltán Kutalik, Lausanne.

    Related resource: News release

    What the committee said about the work: “This work represents the most comprehensive examination to date of the relationships between copy-number variations and human phenotypes traits through the use of computational methods.”

    Discover this Output

     

Related topics