<?xml version='1.0'?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:georss="http://www.georss.org/georss" xmlns:atom="http://www.w3.org/2005/Atom" >
<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/35559?offset=70</link>
	<atom:link href="https://bioinformaticsonline.com/related/35559?offset=70" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41493/coronavirus-resources</guid>
	<pubDate>Wed, 25 Mar 2020 17:11:33 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41493/coronavirus-resources</link>
	<title><![CDATA[Coronavirus Resources !]]></title>
	<description><![CDATA[<p><span>2019nCoVR features comprehensive integration of genomic and proteomic sequences as well as their metadata information from the GISAID, NCBI, NMDC and CNCB/NGDC. It also incorporates a wide range of relevant information including scientific literatures, news, and popular articles for science dissemination, and provides visualization functionalities for genome variation analysis results based on all collected 2019-nCoV strains.</span></p>
<p><span>Annotation</span></p>
<p><span><a href="https://bigd.big.ac.cn/ncov/variation/annotation">https://bigd.big.ac.cn/ncov/variation/annotation</a></span></p>
<p><span>Genome wharehouse&nbsp;</span></p>
<p><span><a href="https://bigd.big.ac.cn/gwh/browse/index">https://bigd.big.ac.cn/gwh/browse/index</a></span></p>
<p>Released Genome</p>
<p><a href="https://bigd.big.ac.cn/ncov/release_genome">https://bigd.big.ac.cn/ncov/release_genome</a></p>
<p>Download data&nbsp;</p>
<p><a href="ftp://download.big.ac.cn/Genome/Viruses/Coronaviridae/">ftp://download.big.ac.cn/Genome/Viruses/Coronaviridae/</a></p>
<p>Raw data</p>
<p><a href="https://bigd.big.ac.cn/gsa/browse/run/?tag=Coronaviridae">https://bigd.big.ac.cn/gsa/browse/run/?tag=Coronaviridae</a></p><p>Address of the bookmark: <a href="https://bigd.big.ac.cn/ncov/about" rel="nofollow">https://bigd.big.ac.cn/ncov/about</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44002/interesting-bioinformatics-resources</guid>
	<pubDate>Fri, 11 Nov 2022 06:30:46 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44002/interesting-bioinformatics-resources</link>
	<title><![CDATA[Interesting Bioinformatics Resources !]]></title>
	<description><![CDATA[<p>1. a reproducible workflow.&nbsp;<a href="https://www.youtube.com/watch?v=s3JldKoA0zw">https://www.youtube.com/watch?v=s3JldKoA0zw</a>&nbsp;This two minute video will change your mind on reproducible research&nbsp;</p><p>2. Parallel sequencing lives, or what makes large sequencing projects successful&nbsp;<a href="https://academic.oup.com/gigascience/article/6/11/gix100/4557140?login=false">https://academic.oup.com/gigascience/article/6/11/gix100/4557140?login=false</a></p><p>3. Common-sense approaches to sharing tabular data alongside publication&nbsp;<a href="https://www.sciencedirect.com/science/article/pii/S2666389921002300">https://www.sciencedirect.com/science/article/pii/S2666389921002300</a></p><p>4. A Reproducible Data Analysis Workflow with R Markdown, Git, Make, and Docker&nbsp;<a href="https://psyarxiv.com/8xzqy/">https://psyarxiv.com/8xzqy/</a></p><p>5. Practical Computational Reproducibility in the Life Sciences&nbsp;<a href="https://www.cell.com/cell-systems/fulltext/S2405-4712(18)30140-6">https://www.cell.com/cell-systems/fulltext/S2405-4712(18)30140-6</a></p><p>6. A video by Dr.Keith A. Baggerly from MD Anderson [The Importance of Reproducible Research in High-Throughput Biology](<a href="https://www.youtube.com/watch?v=7gYIs7uYbMo">https://www.youtube.com/watch?v=7gYIs7uYbMo</a>) highly recommended.</p><p>7. Ten Simple Rules for Reproducible Computational Research&nbsp;<a href="http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003285">http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003285</a>)</p><p>8. Good Enough Practices in Scientific Computing&nbsp;<a href="http://arxiv.org/abs/1609.00037">http://arxiv.org/abs/1609.00037</a>&nbsp;</p><p>9. Best Practices for Scientific Computing&nbsp;<a href="https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001745">https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001745</a></p><p>10. A Quick Guide to Organizing Computational Biology Projects&nbsp;<a href="http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.100042">http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.100042</a>&nbsp; A must read for computational biologists!</p><p>11. Reproducibility of computational workflows is automated using continuous analysis&nbsp;<a href="https://www.nature.com/articles/nbt.3780">https://www.nature.com/articles/nbt.3780</a></p><p>12. Five selfish reasons to work reproducibly&nbsp;<a href="https://genomebiology.biomedcentral.com/articles/10.1186/s13059-015-0850-7">https://genomebiology.biomedcentral.com/articles/10.1186/s13059-015-0850-7</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/36483/popular-bioinformatics-educational-resources</guid>
	<pubDate>Fri, 04 May 2018 19:43:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/36483/popular-bioinformatics-educational-resources</link>
	<title><![CDATA[Popular bioinformatics educational resources !]]></title>
	<description><![CDATA[<p>Followings are the list of popular bioinformatics educational resources</p><p><a href="http://Bii.a-star.edu.sg"><strong>Bii.a-star.edu.sg</strong></a></p><p>Bio research and development. Has course information and research information.</p><p><a href="http://Isb-sib.ch"><strong>Isb-sib.ch</strong></a></p><p>SIB operates the ExPASy proteomics server and the Swiss node of EMBnet. Teaching activities include a series of post-graduate courses given at the Universities of Geneva and Lausanne, as well as at the EPFL, and a Masters Degree in bioinformatics. Major research areas include the development of integrated databases and software resources in the field of proteomics.</p><p><a href="http://Bioinformatics.ca"><strong>Bioinformatics.ca</strong></a></p><p>Provides information about bioinformatics in Canada. Workshops, certification and resources.</p><p><a href="http://Chickscope.beckman.uiuc.edu"><strong>Chickscope.beckman.uiuc.edu</strong></a></p><p>Students raise chicken embryos in the classroom and obtain magnetic resonance images through the Internet.</p><p><a href="http://Bcb.iastate.edu"><strong>Bcb.iastate.edu</strong></a></p><p>Graduate program at Iowa State University offering Undergraduate Major (BCBio) and the PhD program (BCB).</p><p><a href="http://Bu.edu/bioinformatics/"><strong>Bu.edu/bioinformatics/</strong></a></p><p>Interdisciplinary PhD and Masters Programs that include an internship in the local industry companies. In conjunction with the NE masters program.</p><p><a href="http://Bioinformatics.ubc.ca"><strong>Bioinformatics.ubc.ca</strong></a></p><p>A computational biology research centre covering many areas of genomics, proteomics, computer science and statistics. Research, training, news and events, resources and support, director's message, faculty and personnel.</p><p><a href="http://Openhelix.com"><strong>Openhelix.com</strong></a></p><p>Provides onsite training on specific bioinformatics databases and tools. Also offers bioinformatic software testing and research consulting services.</p><p><a href="http://Igb.uci.edu"><strong>Igb.uci.edu</strong></a></p><p>Specializing in making publicly available software and database services for computational biology.</p><p><a href="http://Bioinformatics.pe.kr"><strong>Bioinformatics.pe.kr</strong></a></p><p>Maintained by Dr. Seyeon Weon, Korea providing information on courses, a database archive, software archive and online resources.</p><p><a href="http://Groups.yahoo.com/group/bimatics/"><strong>Groups.yahoo.com/group/bimatics/</strong></a></p><p>Bioinformatics group for students interested and/or working in the bioinformatics/computationalbiology fields. Offers opportunities to exchanging information and sharing ideas.</p><p><a href="http://Ncbi.nlm.nih.gov/books/NBK22183/"><strong>Ncbi.nlm.nih.gov/books/NBK22183/</strong></a></p><p>Information about several medically important genes and related diseases. Illustrates the use of bioinformatics in their study.</p><p><a href="http://Bioinfo.mbb.yale.edu/mbb452a/2003/"><strong>Bioinfo.mbb.yale.edu/mbb452a/2003/</strong></a></p><p>Bioinformatics course at Yale University. All course slides are available online.</p><p><a href="http://Cs.iastate.edu/~honavar/comp-bio-courses.html"><strong>Cs.iastate.edu/~honavar/comp-bio-courses.html</strong></a></p><p>Listing of computational molecular biology course pages that have extensive online course materials.</p><p><a href="http://Bioinf.manchester.ac.uk/dbbrowser/bioactivity/prefacefrm.html"><strong>Bioinf.manchester.ac.uk/dbbrowser/bioactivity/prefacefrm.html</strong></a></p><p>A web-based tutorial associated with "Introduction to bioinformatics" published by Addison Wesley Longman.</p><p><a href="http://Northeastern.edu/bioinformatics/"><strong>Northeastern.edu/bioinformatics/</strong></a></p><p>From the Biology department and in cooperation with Boston University. Emphasis on the ability to integrate knowledge from biological, computational, and mathematical disciplines.</p><p><a href="http://Biocomp.unibo.it/lsbioinfo/"><strong>Biocomp.unibo.it/lsbioinfo/</strong></a></p><p>A two year, international master's programme in bioinformatics at the Universita di Bologna, Italy.</p><p><a href="http://Cs.helsinki.fi/bioinformatiikka/mbi/programme.html"><strong>Cs.helsinki.fi/bioinformatiikka/mbi/programme.html</strong></a></p><p>A two year Masters Degree Programme in Bioinformatics (MBI) offered by the University of Helsinki and Helsinki University of Technology, Finland.</p><p><a href="http://Ornl.gov/sci/techresources/Human_Genome/education/education.shtml"><strong>Ornl.gov/sci/techresources/Human_Genome/education/education.shtml</strong></a></p><p>A resource for introductory information on the Human Genome Project.</p><p><a href="http://His.se/bioinformatics"><strong>His.se/bioinformatics</strong></a></p><p>A one-year, international master's programme in bioinformatics at the University of Skovde, Sweden.</p><p><a href="http://Members.tripod.com/C.elegans/"><strong>Members.tripod.com/C.elegans/</strong></a></p><p>Resources in biochemical, molecular, cellular, system, and organism biology, including over 25,000 indexed links, accumulated since 2000, from topic menus or from search interface.</p><p><a href="http://Bioinformatics.org/faq/#contents"><strong>Bioinformatics.org/faq/#contents</strong></a></p><p>Summary of basics of bioinformatics for the intelligent newcomer.</p><p><a href="http://Jiscmail.ac.uk/archives/bioinformatics.html"><strong>Jiscmail.ac.uk/archives/bioinformatics.html</strong></a></p><p>Forum featuring various aspects, events and developments in the bioinformatics field.</p><p><a href="http://Biinoida.blogspot.com"><strong>Biinoida.blogspot.com</strong></a></p><p>Blog focusing on bioinformatics, biotechnology, pharma regulatory affairs, IPR and clinical trials.</p><p><a href="http://Colorbasepair.com/bioinformatics_courses_tutorials.html"><strong>Colorbasepair.com/bioinformatics_courses_tutorials.html</strong></a></p><p>A list of on-line course materials and tutorials for bioinformatics and computational biology.</p><p><a href="http://Geospiza.com/education/"><strong>Geospiza.com/education/</strong></a></p><p>Instructional materials for teaching bioinformatics. These include animated tutorials on topicssuch as BLAST, finding mutations in a protein, and graphing with MS-Excel.</p><p><a href="http://Bioinformatics.fi"><strong>Bioinformatics.fi</strong></a></p><p>An international, two-year Master's programme jointly managed by the University of Tampere and the University of Turku, Finland.</p><p><a href="http://Perlsource.net"><strong>Perlsource.net</strong></a></p><p>Provides online courses in Perl programming for bioinformatic tools.</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44601/free-resources-to-learn-statistics</guid>
	<pubDate>Sat, 06 Jul 2024 10:30:50 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44601/free-resources-to-learn-statistics</link>
	<title><![CDATA[Free resources to learn statistics]]></title>
	<description><![CDATA[<p><span>Welcome to the course notes for&nbsp;</span><span>STAT 414: Introduction to Probability Theory</span><span>. These notes are designed and developed by Penn State's&nbsp;</span><a href="https://science.psu.edu/stat">Department of Statistics</a><span>&nbsp;and offered as open educational resources. These notes are free to use under Creative Commons license&nbsp;</span><a href="https://creativecommons.org/licenses/by-nc/4.0/">CC BY-NC 4.0</a><span>.</span></p>
<p>&nbsp;</p>
<p>A free online version of the second edition of the book based on Stat 110,&nbsp;<em>Introduction to Probability</em>&nbsp;by Joe Blitzstein and Jessica Hwang,&nbsp;is now available at&nbsp;<a href="http://probabilitybook.net/" title="http://probabilitybook.net">http://probabilitybook.net</a></p>
<p>Print copies are available via&nbsp;<a href="https://www.crcpress.com/Introduction-to-Probability-Second-Edition/Blitzstein-Hwang/p/book/9781138369917" title="">CRC Press</a>,&nbsp;<a href="https://amzn.to/2Ubh7D8" title="">Amazon</a>, and elsewhere.&nbsp;</p>
<p>Stat110x is also available as an&nbsp;edX course.&nbsp;Free signup at&nbsp;<a href="https://www.edx.org/course/introduction-to-probability-0" title="https://www.edx.org/course/introduction-to-probability-0">https://www.edx.org/course/introduction-to-probability-0</a></p>
<p>The edX course focuses on animations, interactive features, readings, and problem-solving, and&nbsp;is&nbsp;<strong>complementary</strong>&nbsp;to the Stat 110 lecture videos on YouTube, which are available at&nbsp;<a href="https://goo.gl/i7njSb" title="https://goo.gl/i7njSb">https://goo.gl/i7njSb</a></p>
<p>The Stat110x animations are available within the course and at&nbsp;<a href="https://goo.gl/g7pqTo" title="">https://goo.gl/g7pqTo</a></p>
<p><a href="https://projects.iq.harvard.edu/stat110/home">https://projects.iq.harvard.edu/stat110/home</a>&nbsp;</p><p>Address of the bookmark: <a href="https://online.stat.psu.edu/stat414/" rel="nofollow">https://online.stat.psu.edu/stat414/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39843/dnapipete-a-pipeline-designed-to-find-annotate-and-quantify-transposable-elements</guid>
	<pubDate>Mon, 12 Aug 2019 21:56:08 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39843/dnapipete-a-pipeline-designed-to-find-annotate-and-quantify-transposable-elements</link>
	<title><![CDATA[dnaPipeTE: a pipeline designed to find, annotate and quantify Transposable Elements]]></title>
	<description><![CDATA[<p><span>dnaPipeTE (for de-novo assembly &amp; annotation Pipeline for Transposable Elements), is a pipeline designed to find, annotate and quantify Transposable Elements in small samples of NGS datasets. It is very useful to quantify the proportion of TEs in newly sequenced genomes since it does not require genome assembly and works on small datasets (&lt; 1X).</span></p>
<p><span><a href="https://github.com/clemgoub/dnaPipeTE/wiki/dnaPipeTE-WIKI-home">https://github.com/clemgoub/dnaPipeTE/wiki/dnaPipeTE-WIKI-home</a></span></p><p>Address of the bookmark: <a href="https://github.com/clemgoub/dnaPipeTE" rel="nofollow">https://github.com/clemgoub/dnaPipeTE</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

</channel>
</rss>