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.”

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  • 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.”

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  • 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.”

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  • 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."

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  • 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.”

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  • 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.”

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  • 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.”

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  • 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.”

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  • 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.”

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  • 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.”

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