In our continuous effort to support your research needs, HSLS is offering four new classes this spring covering: (1) introduction to mapping, (2) Python through Jupyter, (3) beginning command line for bioinformatics, and (4) options for bioinformatics analysis. Class descriptions and registration links are listed below.<\/p>\n
(1) Data 101: Introduction to Mapping\u00a0 <\/a><\/p>\n Thursday, February 15, 2018, 11 a.m. \u2013 1 p.m.; Registration<\/a> required<\/p>\n Mapping is a great way to visualize and analyze information\u2014and to tell stories. In this introductory workshop, you\u2019ll learn the principles of mapmaking, understand how computers are used to plot addresses on a map, conduct basic spatial analysis, and update records in a database based on location. Along with a deeper appreciation for computers, this class will provide you with a solid foundation of mapping concepts and processes, and get you prepared to take your first computer-based mapping class. No computers will be used in this class.<\/p>\n (2) Basic Python through Jupyter<\/a><\/p>\n Tuesday, March 13, 2018, 1 \u2013 4 p.m.; Registration<\/a> required*<\/p>\n Python is an interpreted programming language that is very easy for beginners to learn. In this workshop participants will use Jupyter Hub, an interactive interpreter, to run Python code on the Center for Research Computing (CRC) resources. Participants will learn basic Python syntax and powerful packages to explore their data through guided examples. Please bring your own laptop.\u00a0 <\/strong><\/p>\n *Note: In addition to registering for the class you must also sign up for a <\/strong>CRC HPC allocation<\/strong><\/a>.<\/strong><\/p>\n (3) Beginning Command Line for Bioinformatics<\/a><\/p>\n Wednesday, March 14, 2018, 1 \u2013 4 p.m.; Registration<\/a> required*<\/p>\n This hands-on workshop teaches how to (1) use a text-based terminal to access a remote Unix machine (Center for Research Computing(CRC)- HTC Cluster), (2) use basic Unix commands for managing files and directories, and (3) access HTC Cluster-installed open source bioinformatics software packages such as STAR, HISAT, GATK, and Kallisto.<\/p>\n *Note: In addition to registering for the class you must also sign up for a <\/strong>CRC HPC allocation<\/strong><\/a>.<\/strong><\/p>\n (4) Bioinformatics Data Analysis: Options 4 Rigor<\/a><\/p>\n Tuesday, March 27, 2018, 1 \u2013 2 p.m.; Registration<\/a> required<\/p>\n Do you have data that require bioinformatics analysis? Are you concerned about scientific rigor and reproducibility? Come learn about the \u201c4 C\u2019s\u201d available to Pitt researchers: Core facilities, Collaboration with bioinformaticians, Coding, and Commercially-licensed tools.\u00a0Make an informed decision on the best option(s) for your data needs.<\/p>\n Contact HSLS Data Services<\/a> or the MolBio Information Service<\/a> with questions or suggestions of classes you would like to see in the future (or even guest teach). We are also always looking for instructors<\/a> to participate in our \u201cHow-To Talks by Postdocs\u201d series.<\/p>\n ~ Melissa Ratajeski<\/p>\n","protected":false},"excerpt":{"rendered":" In our continuous effort to support your research needs, HSLS is offering four new classes this spring covering: (1) introduction to mapping, (2) Python through Jupyter, (3) beginning command line for bioinformatics, and (4) options for bioinformatics analysis. Class descriptions and registration links are listed below. (1) Data 101: Introduction to Mapping\u00a0 Thursday, February 15, […]<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"issue-archives","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[119],"tags":[80,-1],"class_list":["post-10751","post","type-post","status-publish","format-standard","hentry","category-february-2018","tag-data-management","avhec_catgroup-issue-archives"],"_links":{"self":[{"href":"https:\/\/info.hsls.pitt.edu\/updatereport\/wp-json\/wp\/v2\/posts\/10751","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/info.hsls.pitt.edu\/updatereport\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/info.hsls.pitt.edu\/updatereport\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/info.hsls.pitt.edu\/updatereport\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/info.hsls.pitt.edu\/updatereport\/wp-json\/wp\/v2\/comments?post=10751"}],"version-history":[{"count":4,"href":"https:\/\/info.hsls.pitt.edu\/updatereport\/wp-json\/wp\/v2\/posts\/10751\/revisions"}],"predecessor-version":[{"id":10759,"href":"https:\/\/info.hsls.pitt.edu\/updatereport\/wp-json\/wp\/v2\/posts\/10751\/revisions\/10759"}],"wp:attachment":[{"href":"https:\/\/info.hsls.pitt.edu\/updatereport\/wp-json\/wp\/v2\/media?parent=10751"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/info.hsls.pitt.edu\/updatereport\/wp-json\/wp\/v2\/categories?post=10751"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/info.hsls.pitt.edu\/updatereport\/wp-json\/wp\/v2\/tags?post=10751"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}