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Data driven blogging from the GigaScience editors
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The 9th Women in Science Conference took place in Shenzhen. Below are some highlights from the conference co-organized by our Publishing Director, Laurie Goodman, and Co-Chaired by Doris Yang, from BGI-College.   Today,  March 8, 2024 marks International Women’s Day – where women’s achievement and inclusivity is celebrated.

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Call for Submissions – Win Prizes and Join us in Shenzhen for ICG-13 Being co-published by BGI we are regular participants at their yearly ICG (International Conference on Genomics) conference in Shenzhen. Since the very first meeting in 2006, ICG has grown to become one of the most influential annual meetings in ‘omics’ research, and is now in its 13th edition.

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Call for Submissions – Win Prizes and Join us in Shenzhen for ICG-12 Being co-published by BGI and based at their Hong Kong office we are regular participants at their yearly ICG (International Conference on Genomics) conference in Shenzhen. Since the very first meeting in 2006, ICG has grown to become one of the most influential annual meetings in ‘omics’ research, and is now in its 12th edition.

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The field of synthetic biology, designing and building engineered biological systems through DNA synthesis and genetic engineering, is rapidly moving to a genome scale. In a similar trajectory to genomic sequencing and genome projects two decades ago, it has moved from engineering single genes, entire synthetic bacterial genomes (J Craig Venter’s notorious “Synthia”), to the eukaryotic organism stage.

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As the GigaScience journal moves from strength-to-strength, with that comes the expansion of the editorial and data management teams that are now spanning three continents – and what better way to meet than at the 8th International Conference on Genomics (ICG8) in Shenzhen, China, co-organised by the BGI and GigaScience. Held at the Thunderbirdsesque Vanke International Conference Centre in the popular seaside resort of

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With advances in sequencing technologies leading to a so-called “data deluge”, the amount of data supporting a biological study is becoming increasingly unwieldy and difficult to make available. These issues have led to a lack of transparency in analyses of sequencing data, resulting in an ever-increasing reproducibility gap.