Sturm und Web
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Ontology: Bio-LarK Concept Recognizer
HPO – The Human Phenotype Ontology http://human-phenotype-ontology.github.io/about.html#GA4GH2016 [ { “dataSource”: “Human Phenotype Ontology”, “startOffset”: “34”, “endOffset”: “51”, “originalSpan”: “metaphyses flared”, “uri”: “http://purl.obolibrary.org/obo/HP_0003015” }, { “dataSource”: “Human Phenotype Ontology”, “startOffset”: “4”, “endOffset”: “28”, “originalSpan”: “long bones shortened”, “uri”: “http://purl.obolibrary.org/obo/HP_0003026” },
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Working Memory
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The real cost of sequencing
The real cost of sequencing: scaling computation to keep pace with data generation Due considerazioni 1. The real #cost of sequencing: scaling computation to keep pace with data generation – Paul Muir http://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-0917-0 2. The concept of “cost per genome”
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Array Technology vs Next-Generation Sequencing
Array Technology vs Next-Generation Sequencing Array Technology vs Next-Generation Sequencing Array technology looks for specific single-letter changes in the DNA sequence, or single nucleotide polymorphisms (SNPs). If a DNA change is known to be associated with increased risk for a particular disease or trait, also known as a mutation, then this data can be extremely useful in patient care. Let’s take the commonly-known BRCA2 gene as an example. There are more than 1,300 known mutations2 in the BRCA2 gene. Many of these mutations are associated with an increased risk of several types of cancer in women and men, including breast, ovarian, prostate, pancreatic, and melanoma. Genetic tests that use array technology typically…
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Muenchen comes again.
A quanto pare il mio amore per la città di Monaco sembra non arrestarsi nonostante l’età e le vicissitudini che la vita porta (e mi ha portato nel corso del tempo). https://bioinformatik-muenchen.com/ Stavo trattando il tema della Visualization of biological data with JavaScript, tra BioJS (è una trattazione iniziata con @MicroArrayTool) e una serie di letture. E’ davvero una miniera. Sarebbe davvero bellissimo poterla visitare. BioJS è studiato in ogni sua forma. Non ci sono parole per la quantità di informazioni che tengono. Magnifico in ogni sua forma.
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Play with evolution
Play with evolution using Richard Dawkins’ original programs from the 1980s – http://www.mountimprobable.com/
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Language acquisition
animations by applying artificial genetics and evolutionary techniques: E-volved Cultures 360°, The Generative Cinema, Kunstkapel, Amsterdam, 2016 http://research.baidu.com/ai-agent-human-like-language-acquisition-virtual-environment/
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Science should be something we share
By Sam Illingworth Finding new ways to let us grow, Helping us learn so that we know. Spreading this knowledge, we are aware: Science should be something we share. Science is in all that we do, It can explain why the sky is blue. Not telling others is quite unfair; Science should be something we share. Black holes to quarks, it explains all; When things go up, then they must fall. Ideas without it are just hot air; Science should be something we share. Science can tell us what makes us tick, How birds can fly, why cheetahs are quick. This can be used to help and to care, Science…
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Science knows no country
Science knows no country, because knowledge belongs to humanity, and is the torch which illuminates the world. Science is the highest personification of the nation because that nation will remain the first which carries the furthest the works of thought and intelligence. Louis Pasteur
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Analisi di un’espressione
Alcuni tratti di questo paper mi hanno così colpito che meritano un posto nel blog. La domanda è: gli eyespots hanno un’origine singola o multipla in farfalle nymphalid? Un approccio è stato quello di tracciare la presenza e assenza di eyespots a 399 specie Ninfalide. A Single Origin for Nymphalid Butterfly Eyespots Followed by Widespread Loss of Associated Gene Expression Jeffrey C. Oliver Xiao-Ling Tong Lawrence F. Gall William H. Piel Antónia Monteiro