Introduction to Quantitative Genetics by Bruce Walsh

Introduction to Quantitative Genetics by Bruce Walsh

Second Bangalore School on Population Genetics and Evolution URL: http://www.icts.res.in/program/popgen2016 DESCRIPTION: Just as evolution is central to our understanding of biology, population genetics theory provides the basic framework to comprehend evolutionary processes. Population genetics theory allows quantitative predictions of evolutionary processes, integrating mathematical and statistical concepts with fundamental biological principles of genetic inheritance and processes such as mutation and selection. Population genetics theory is thus critical to understanding many pressing issues in biology, such as the evolution of antibiotic resistance in pathogens, the formation of new species and the emergence of cooperative and altruistic behaviors. This school aims to expose students and researchers from diverse backgrounds to the basics and the forefront of current research in population genetics. Students from the disciplines of biology, mathematics, medicine, physics, and statistics who are interested in evolutionary theory are all welcome to apply for participation in this program. The school will introduce and develop an understanding of population genetics and quantitative genetics, and their applications. Research seminars and poster sessions will also be held during this school. ORGANIZERS: Deepa Agashe, Kavita Jain

Scientific Studies: Last Week Tonight with John Oliver (HBO)

Scientific Studies: Last Week Tonight with John Oliver (HBO)

John Oliver discusses how and why media outlets so often report untrue or incomplete information as science. Connect with Last Week Tonight online... Subscribe to the Last Week Tonight YouTube channel for more almost news as it almost happens: www.youtube.com/user/LastWeekTonight Find Last Week Tonight on Facebook like your mom would: http://Facebook.com/LastWeekTonight Follow us on Twitter for news about jokes and jokes about news: http://Twitter.com/LastWeekTonight Visit our official site for all that other stuff at once: http://www.hbo.com/lastweektonight

Item Response Models Using Stata

Item Response Models Using Stata

Chuck Huber, PhD with StataCorp presents on conducting statistical analyses using Bayesian Item Response Theory (IRT) during the USC Interdisciplinary Speaker Series. Chuck Huber is a Senior Statistician at StataCorp and Adjunct Associate Professor of Biostatistics at Texas A&M. In addition to working with Stata's team of software developers, he produces instructional videos for the Stata Youtube channel, writes blog entries, develops online NetCourses and gives talks about Stata at conferences and universities. Most of his current work is focused on statistical methods used by psychologists and other behavioral scientists. Dr. Huber currently teaches introductory biostatistics and previously taught introductory biostatistics, categorical data analysis and statistical genetics at Texas A&M. He has published in the areas of neurology, human and animal genetics, alcohol and drug abuse prevention, nutrition and birth defects.

G Greenbaum: Using network theory to infer and analyze population structure from genetic data.

G Greenbaum: Using network theory to infer and analyze population structure from genetic data.

"Gili Greenbaum (Ben-Gurion University) presents 'Using network theory to infer and analyze population structure from genetic data.' A presentation at the 'James F. Crow Symposium' session of the Population, Evolutionary, and Quantitative Genetics Meeting at The Allied Genetics Conference, July 13-17, 2016, Orlando, Florida. Read the abstract: http://www.genetics-gsa.org/genetics/2016/full_abstracts/166510458.htm For more presentations from #TAGC16 visit: http://www.genetics-gsa.org/tagcvideos or browse the playlists at: https://www.youtube.com/user/GeneticsSociety/playlists More on #TAGC16: http://www.genetics2016.org/ More on GSA: http://www.genetics-gsa.org/ More on genetics at the GSA blog Genes to Genomes: http://genestogenomes.org

Intro to Structural Equation Modeling Using Stata

Intro to Structural Equation Modeling Using Stata

Chuck Huber, PhD with StataCorp presents on conducting statistical analyses using Structural Equation Modeling (SEM) during the USC Interdisciplinary Speaker Series. Chuck Huber is a Senior Statistician at StataCorp and Adjunct Associate Professor of Biostatistics at Texas A&M. In addition to working with Stata's team of software developers, he produces instructional videos for the Stata Youtube channel, writes blog entries, develops online NetCourses and gives talks about Stata at conferences and universities. Most of his current work is focused on statistical methods used by psychologists and other behavioral scientists. Dr. Huber currently teaches introductory biostatistics and previously taught introductory biostatistics, categorical data analysis and statistical genetics at Texas A&M. He has published in the areas of neurology, human and animal genetics, alcohol and drug abuse prevention, nutrition and birth defects.

3 Genes That Give People Superpowers

3 Genes That Give People Superpowers

There are genetic mutations in the population today that can grant people some seemingly superhuman abilities. To get your 23andMe kit, go to: https://www.23andme.com/SciShow Hosted by: Hank Green ---------- Support SciShow by becoming a patron on Patreon: https://www.patreon.com/scishow ---------- Dooblydoo thanks go to the following Patreon supporters—we couldn't make SciShow without them! Shout out to Kevin, Bealer, Mark Terrio-Cameron, KatieMarie Magnone, Patrick Merrithew, Charles Southerland, Fatima Iqbal, Sultan Alkhulaifi, Tim Curwick, Scott Satovsky Jr, Philippe von Bergen, Bella Nash, Bryce Daifuku, Chris Peters, Patrick D. Ashmore, Piya Shedden, Charles George ---------- Looking for SciShow elsewhere on the internet? Facebook: http://www.facebook.com/scishow Twitter: http://www.twitter.com/scishow Tumblr: http://scishow.tumblr.com Instagram: http://instagram.com/thescishow ---------- Sources: MSTN - stronger muscles https://blogs.scientificamerican.com/guest-blog/the-man-of-steel-myostatin-and-super-strength/ http://www.nejm.org/doi/full/10.1056/NEJMoa040933#t=article https://ghr.nlm.nih.gov/gene/MSTN#normalfunction https://www.ncbi.nlm.nih.gov/books/NBK1498/ http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1984-82502012000300003 http://onlinelibrary.wiley.com/store/10.1113/expphysiol.2012.065243/asset/eph1073.pdf?v=1&t=j1mbvm9e&s=cc218db59ef9337ad4c1baecfb2b099fc4bef4ed https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1698719/ https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3177043/ ACTN3 - fast-twitch muscles https://www.ncbi.nlm.nih.gov/pubmed/17289854 https://www.ncbi.nlm.nih.gov/gene/89 https://www.ncbi.nlm.nih.gov/pubmed/26429734/ https://www.ncbi.nlm.nih.gov/pubmed/26148057 http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0150594 https://www.wired.com/2008/11/the-actn3-sports-gene-test-what-can-it-really-tell-you/ http://muscle.ucsd.edu/musintro/fiber.shtml https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1180686/ http://jap.physiology.org/content/116/9/1197 LRP5 - stronger bones https://ghr.nlm.nih.gov/gene/LRP5#conditions http://www.nejm.org/doi/full/10.1056/NEJMoa013444#t=article http://www.sciencedirect.com/science/article/pii/S0002929707605941 http://www.sciencedirect.com/science/article/pii/S8756328205000165 http://onlinelibrary.wiley.com/doi/10.1359/jbmr.2003.18.6.960/full https://www.snpedia.com/index.php/Rs1815739 http://www.jbc.org/content/281/50/38276 http://oregonstate.edu/dept/biochem/hhmi/hhmiclasses/biochem/lectnoteskga/jan29.html http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0063323 ---------- Images: https://commons.wikimedia.org/wiki/File:MyostatinMutantWhippet.jpg https://commons.wikimedia.org/wiki/File:Protein_ACTN3_PDB_1tjt.png https://commons.wikimedia.org/wiki/File:General_pathology;_from_the_11th_rev._German_ed._(1921)_(14578295997).jpg

Ryan Adams, Machine Learning & the Life Sciences: Beyond Data Analyisis

Ryan Adams, Machine Learning & the Life Sciences: Beyond Data Analyisis

Broad Institute of MIT and Harvard November 12, 2015 Ryan Adams Assistant Professor, SEAS, Harvard University Group Leader, Harvard Intelligent Probabilistic Systems Head of Research, Twitter Cortex Co-host, Talking Machines www.thetalkingmachines.com ----------------------------------------------------------------- Nov. 12, 2015, Broad Institute http://www.broadinstitute.org/blog/biologist-mathematician-and-computer-scientist-walk-foobar Machine learning is about understanding and building computational processes for adapting to data and experience – an ability that for most of natural history has only existed in living organisms. It’s also a valuable source of new tools for analyzing biological data. But does its relevance extend beyond data analysis? Adams will discuss two approaches that push the boundary: automated design of biologically relevant systems (e.g., organic molecules, DNA sequences, biomimetic robots), and the use of biomolecules to implement machine learning algorithms without the need for digital models of computation. This talk is presented by the Data Sciences Platform, the Stat Math Reading Club, and the Broad Institute office of the Chair of the Faculty. Copyright Broad Institute, 2014. All rights reserved.

Gender Attraction Differential

Gender Attraction Differential

Videos ---------------------------------------- CS MGTOW – Meet Mark https://www.youtube.com/watch?v=SujNJKm216E Online Dating Data ---------------------------------------- OKCupid - Your Looks and Your Inbox http://blog.okcupid.com/index.php/your-looks-and-online-dating/ The Chive - Study reveals surprising statistics behind Tinder hookups http://thechive.com/2014/11/19/study-reveals-surprising-statistics-behind-tinder-hookups-10-photos/ Marriage Data ---------------------------------------- Gallop - Fewer Young People Say I Do To Any Relationship http://www.gallup.com/poll/183515/fewer-young-people-say-relationship.aspx CDC - Who Marries and When? http://www.cdc.gov/nchs/data/databriefs/db19.htm Divorce Data ---------------------------------------- APA - Marriage & divorce http://www.apa.org/topics/divorce/ AVVO – Marriage and divorce statistics http://www.avvo.com/legal-guides/ugc/marriage-divorce-statistics APA - Does a Long-Term Relationship Kill Romantic Love? http://www.apa.org/pubs/journals/releases/gpr13159.pdf Biology / Primatology ---------------------------------------- ScienceDaily – Genes Expose Secrets Of Sex On The Side http://www.sciencedaily.com/releases/2004/09/040920063537.htm NCBI/PubMed - Male dominance rank and reproductive success in chimpanzees http://www.ncbi.nlm.nih.gov/pubmed/19498952

Introduction to Data Science with R - Data Analysis Part 1

Introduction to Data Science with R - Data Analysis Part 1

Part 1 in a in-depth hands-on tutorial introducing the viewer to Data Science with R programming. The video provides end-to-end data science training, including data exploration, data wrangling, data analysis, data visualization, feature engineering, and machine learning. All source code from videos are available from GitHub. NOTE - The data for the competition has changed since this video series was started. You can find the applicable .CSVs in the GitHub repo. Blog: http://daveondata.com GitHub: https://github.com/EasyD/IntroToDataScience I do Data Science training as a Bootcamp: https://goo.gl/OhIHSc

DJ de Koning: QTL mapping, GWAS & RNA sequencing to improve bone strength in laying hens.

DJ de Koning: QTL mapping, GWAS & RNA sequencing to improve bone strength in laying hens.

"Dirk Jan de Koning (Swedish University of Agricultural Sciences) presents 'Systems genetics for industry: combining QTL mapping, GWAS and RNA sequencing to improve bone strength in laying hens.' A presentation at the 'PEQG Keynote 2' session of the Population, Evolutionary, and Quantitative Genetics Meeting at The Allied Genetics Conference, July 13-17, 2016, Orlando, Florida. Read the abstract: http://www.genetics-gsa.org/genetics/2016/full_abstracts/166590015.htm For more presentations from #TAGC16 visit: http://www.genetics-gsa.org/tagcvideos or browse the playlists at: https://www.youtube.com/user/GeneticsSociety/playlists More on #TAGC16: http://www.genetics2016.org/ More on GSA: http://www.genetics-gsa.org/ More on genetics at the GSA blog Genes to Genomes: http://genestogenomes.org

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