Freelancer Bioinformatician
with 10+ Years of Experience in Bioinformatics and Systems Medicine: Genome, Transcriptome and Multi-OMICS Network Analysis.
1977 was a big year. Star Wars was released. The Apple II, TRS-80 Model I, and Commodore Pet home computers were released. Sanger sequencing was published in Science. And, the #internet was demonstrated. #TBT#throwbackthursday#starwars#retrocomputing#dna
Lactobacillus & Bifidobacterium spp. have been demonstrated their efficacy for preventing culture-proven sepsis and necrotizing enterocolitis in preterm low birth weight infants, with a low risk of bias according to Preidis #GMFH2019
Must-read thread by @Eric_Fauman - showing how amazing interpretation of @uk_biobank#GWAS data can be - providing lessons on genetics of nutritional choices (@timspector ) to identification of causal genes and variants using pQTLs rather than eQTLs (@markmccarthyoxf )
There is a huge and significant variation of microbiota-related metabolites depending on the phase of the diet (purge, recovery & stabilization) and the dietary pattern (enteral nutrition diet, western & vegan) #GMFH2019
London, 23 of May 2019. Showcasing the most innovative emerging companies and academics with commercially viable research that manipulates the microbiome.
https://t.co/aU6IKQoFs4
JEM is pleased to present a special collection of articles to coincide with the 2019 Keystone Symposia “Tumor Metabolism” conference #KStumor https://t.co/Fmosc1HyDJ
This study by Zeevi et al. (2015) was an important first step toward personalized nutrition. A machine-learning algorithm integrating variations in gut microbiome, dietary intake, lifestyle and health information to predict the glycemic response to meals.
https://t.co/1NEn4xz8iN
Food design should also take into account the needs of our gut microbiome, which thrives on what is not bioavailable for the human body.
https://t.co/xcOHDfu5sB
Till May 6th 2019, BMC Bioinformatics is accepting manuscripts related to "Machine Learning and Artificial Intelligence in Bioinformatics".
https://t.co/IKl2GKSm3J
Extensive Unexplored Human Microbiome Diversity Revealed by Over 150,000 Genomes from Metagenomes Spanning Age, Geography, and Lifestyle
https://t.co/3pvq0UwV2P