Anna Sintsova
@aasintsova
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Bioinformatician @SunagawaLab and @NCCRMicrobiomes
Zürich
Joined April 2013
Opening for a postdoctoral researcher (proper Swiss salary included!) @Microbio_ETH with Shini Sunegawa collaborating with us @foodimmunology, @AppliedMicrobi2, @BRC_CH etc Come for the omics on unique pediatric biobanked samples, stay for the therapeutic applications!
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📢 We are looking for a #postdoc scientist experienced in #Statistics / #MachineLearning to contribute to our #research on the #microbiome role in human health. The official ad is coming soon, but get already in touch if interested! #postdocjobs #postdoctoral #AcademicTwitter
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🎉 Congratulations @Lcs_Paoli and @SunagawaLab! Amazing effort 💪
Delighted to share our latest publication on the ‘biosynthetic potential of the global ocean microbiome’ in @Nature
https://t.co/b4kgOLIROD. If you want to know, have a look at this video:
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Open position for a bioinformatician/computational biologist based at @Microbio_ETH for collaborative work on exciting @NCCRMicrobiomes projects. Thanks for spreading! https://t.co/FjLUYgCmcE
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We're hiring! Looking for a bioinformatician to join the exciting work we’re doing as part of @NCCRMicrobiomes. Please share/RT.
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20 most valuable Github Repositories for Data Science & Machine learning 🧵🧵🧵🧵
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Super excited to finally release this handbook on writing good research code. Based on my experiences going from research to industry and research again.
goodresearch.dev
This handbook is for grad students, postdocs and PIs who do a lot of programming as part of their research. It will teach you, in a practical manner, how to organize your code so that it is easy to...
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Excited to share our study on predicting base editing outcomes with attention-based machine learning published in @NatureComms. Huge thanks to our collaborators @krauthammerlab and all @schwanklab members. Special thanks to @sharan_janjuha and Ahmed Allam https://t.co/9vMqHSkbPW
nature.com
Nature Communications - Base editors enable precise genetic alterations but vary in efficiency at different loci. Here the authors analyse ABEs and CBEs at over 28,000 integrated sequences to train...
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mOTUs enables the profiling of microbial community samples using shotgun sequencing data. Here, @SunagawaLab et al describe protocols for main routines of mOTUs, namely metagenomic & metatranscriptomic community profiling and #metagenomic SNV profiling. https://t.co/EriOryCuae
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ETH Researchers propose a new framework for how satellite #DNA, sometimes called “genomic junk,” is essential in the organization of #chromosomes in #cells. The DNA could be one reason why different #species are unable to successfully interbreed. https://t.co/eVEYZ3FzGH
ethz.ch
Researchers propose a new framework for how satellite DNA, sometimes called “genomic junk,” is essential in the organization of chromosomes in cells. They suggest this quickly-evolving DNA is one...
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Our paper with @yamashitaflylab on satellite DNA divergence, hybrid incompatibility and speciation is now out in @MolBioEvol 🥳 https://t.co/wk30XdgyuC
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New @NCCRMicrobiomes publication! mTAGs: a taxonomic profiling tool that uses degenerate consensus reference sequences of ribosomal RNA genes. Congrats to @GuillemSalazar @shinichi @SunagawaLab and all co-authors!
academic.oup.com
Abstract . Profiling the taxonomic composition of microbial communities commonly involves the classification of ribosomal RNA gene fragments. As a trade-of
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Happy to announce #mTAGs, a new tool for taxonomic profiling using degenerate consensus reference sequences of ribosomal RNA genes. The publication 📜: https://t.co/MV7pwYNuos The tool 🛠️:
github.com
Contribute to SushiLab/mTAGs development by creating an account on GitHub.
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Arabidopsis mutant analysis and synthetic community experiments show that the immunity-related NADPH oxydase ROBHD is essential for controlling leaf microbiome homeostasis: a new study by @pfeilmes, the Vorholt group and @SunagawaLab @Microbio_ETH
https://t.co/2aYvhEeDGw
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New version of mOTUs presented at #IHMC2021, which allows to profile more than 20,000 new species without reference genome. Work from @SunagawaLab and @ZellerGroup.
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To put this mildly, this is not a good idea...
A machine-learning model can be used to predict the future “impact” of research published in scientific literature, according to a @NatureBiotech paper. The model could aid in the construction of diversified, impact-optimized funding portfolios. https://t.co/SX592OYIsj
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Types of Microbial Bioinformatics Papers.
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The latest chapter of our satellite DNA saga is now online! @yamashitaflylab @ETH_en @ETH_DBIOL We think we've identified THE cellular phenotype of the hybrid genotype in Drosophila! https://t.co/IgzoJo9IwL But first, a little backstory...
biorxiv.org
Although rapid evolution of pericentromeric satellite DNA repeats is theorized to promote hybrid incompatibility (HI)( [1][1] – [4][2] ), how divergent repeats affect hybrid cells remains poorly...
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Genomic localization and quantification of inducible prophages in gut microbial strains - in vitro and ex vivo. Congrats Mirjam!
microbiomejournal.biomedcentral.com
Background Temperate phages influence the density, diversity and function of bacterial populations. Historically, they have been described as carriers of toxins. More recently, they have also been...
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Our efforts with the @piel_lab analyzing 35k population, single and isolate genomes reveal the remarkable biosynthetic potential of the global ocean microbiome, including in a new group of metabolically ‘talented’ bacteria. Have a look at the preview!
biorxiv.org
Microbes are phylogenetically and metabolically diverse. Yet capturing this diversity, assigning functions to host organisms and exploring the biosynthetic potential in natural environments remains...
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