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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/11399?offset=790</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40463/%E2%80%98dockr%E2%80%99-the-r-container</guid>
	<pubDate>Mon, 23 Dec 2019 09:56:49 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40463/%E2%80%98dockr%E2%80%99-the-r-container</link>
	<title><![CDATA[‘dockr’: the R container]]></title>
	<description><![CDATA[<p><code>dockr</code> 0.8.6 is now available on CRAN. <code>dockr</code> is a minimal toolkit to build a lightweight Docker container image for your R package, in which the package itself is available. The Docker image seeks to mirror your R session as close as possible with respect to R specific dependencies. Both dependencies on CRAN R packages as well as local non-CRAN R packages will be included in the Docker container image.</p>
<p>If you want to know, how Docker works, and why you should consider using Docker, please take a look at the <a href="https://www.docker.com/why-docker" target="_blank">Docker website</a>.</p><p>Address of the bookmark: <a href="https://www.docker.com/why-docker" rel="nofollow">https://www.docker.com/why-docker</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41169/instructions-for-creating-your-own-r-package</guid>
	<pubDate>Wed, 19 Feb 2020 01:22:48 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41169/instructions-for-creating-your-own-r-package</link>
	<title><![CDATA[Instructions for Creating Your Own R Package]]></title>
	<description><![CDATA[<p>The following is a step-by-step guide to creating your own R package.&nbsp; Even beyond this course, youmay find this useful for storing functions you create for your own research or for editing existingR packages to suit your needs.</p>
<p>This guide contains three different sets of instructions.&nbsp; If you use RStudio, you can follow the &ldquo;Ba-sic Instructions&rdquo; in Section 2 which involve using RStudio&rsquo;s interface.&nbsp; </p><p>Address of the bookmark: <a href="http://web.mit.edu/insong/www/pdf/rpackage_instructions.pdf" rel="nofollow">http://web.mit.edu/insong/www/pdf/rpackage_instructions.pdf</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42012/phewas-r-package-is-designed-to-provide-an-accessible-interface-to-the-phenome-wide-association-study</guid>
	<pubDate>Thu, 30 Jul 2020 22:06:37 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42012/phewas-r-package-is-designed-to-provide-an-accessible-interface-to-the-phenome-wide-association-study</link>
	<title><![CDATA[PheWAS: R package is designed to provide an accessible interface to the phenome wide association study]]></title>
	<description><![CDATA[<p>The PheWAS R package is designed to provide an accessible interface to the phenome wide association study. For a description of the methods available and some simple examples, please see the&nbsp;<a href="https://github.com/PheWAS/PheWAS/blob/master/inst/doc/PheWAS-package.pdf?raw=true">package vignette</a>&nbsp;or the R documentation. For installation help, see below. ##Installing the PheWAS Package The PheWAS package can be installed using the devtools package. The following code when executed in R will get you started:</p>
<pre><code>install.packages("devtools")
#It may be necessary to install required as not all package dependencies are installed by devtools:
install.packages(c("dplyr","tidyr","ggplot2","MASS","meta","ggrepel","DT"))
devtools::install_github("PheWAS/PheWAS")
library(PheWAS)</code></pre><p>Address of the bookmark: <a href="https://github.com/PheWAS/PheWAS" rel="nofollow">https://github.com/PheWAS/PheWAS</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43546/introduction-to-phylogenies-in-r</guid>
	<pubDate>Wed, 13 Oct 2021 02:27:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43546/introduction-to-phylogenies-in-r</link>
	<title><![CDATA[Introduction to phylogenies in R]]></title>
	<description><![CDATA[<p><span>R phylogenetics is built on the contributed packages for phylogenetics in R, and there are many such packages. Let's begin today by installing a few critical packages, such as ape, phangorn, phytools, and geiger. To get the most recent CRAN version of these packages, you will need to have R 3.3.x installed on your computer!</span></p><p>Address of the bookmark: <a href="http://www.phytools.org/Cordoba2017/ex/2/Intro-to-phylogenies.html" rel="nofollow">http://www.phytools.org/Cordoba2017/ex/2/Intro-to-phylogenies.html</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44414/reconplot-an-r-package-for-the-visualization-and-interpretation-of-genomic-rearrangements</guid>
	<pubDate>Thu, 14 Dec 2023 12:33:19 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44414/reconplot-an-r-package-for-the-visualization-and-interpretation-of-genomic-rearrangements</link>
	<title><![CDATA[ReConPlot: an R package for the visualization and interpretation of genomic rearrangements]]></title>
	<description><![CDATA[<p>ReConPlot (REarrangement and COpy Number PLOT), an R package that provides functionalities for the joint visualization of SCNAs and SVs across one or multiple chromosomes. ReConPlot is based on the popular ggplot2 package, thus allowing customization of plots and the generation of publication-quality figures with minimal effort.</p><p>Address of the bookmark: <a href="https://academic.oup.com/bioinformatics/article/39/12/btad719/7460198?login=false" rel="nofollow">https://academic.oup.com/bioinformatics/article/39/12/btad719/7460198?login=false</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21471/opening-for-raextended-srf-in-bioinformatics-project-by-dbt-at-bose-institute</guid>
  <pubDate>Sun, 01 Mar 2015 00:50:18 -0600</pubDate>
  <link></link>
  <title><![CDATA[Opening for RA/extended SRF in Bioinformatics project by DBT at Bose Institute]]></title>
  <description><![CDATA[
<p>The institute has evolved over the years into a multi-disciplinary research organization with stress on fundamental research in its pursuit of advancement of knowledge in Science and technology and at the same time developing highly competent and able scientific manpower for the country. The institute has on its staff highly qualified and experienced scientists working in the field of Biological, biochemical, Chemical and Physical sciences placed in long established departments of Physics, Chemistry, Botany, Microbiology, Biochemistry, and Biophysics, and the research sections on plant Molecular &amp; Cellular Genetics, Animal Physiology, Immunotechnology and Environmental science</p>

<p>Walk-in-Interview will be held on 04th March 2015 at 11.30 A.M. in the Bio- Informatics Centre of Bose Institute, P-1/12, C.I.T. Scheme VII-M, Kolkata- 700054 for two (02) positions of Research Associate/ Extended Senior Research Fellow in the DBT sponsored following two projects running under the CoE- Bioinformatics under the guidance of Prof. Pinakpani Chakrabarti, Bioinformatics Centre.</p>

<p>Position : RA/SRF<br />Project title : 1. "Centre of Excellence (CoE) in Bioinformatics at Bose Institute”,2. Project entitled “Setting up of National Facility on Interactive Graphysics Computer System (IGCS) for Biomolecular Modeling, Molecular Dynamics &amp; Structures”</p>

<p>Desired Profile : Ph.D degree in Biological or Chemical Sciences with in-depth understanding of protein structure and dynamics for R.A. position.Those who have submitted thesis can be considered for Extended SRF position<br />Preferred : Knowledge of computer programming and bioinformatics softwares.<br />Stipend : For R.A- Rs. 22,000/- p.m., plus admissible H.R.A. and Medical benefit. For Extended SRF - Rs. 20,000/- p.m., plus admissible H.R.A.and Medical benefit.<br />Age : For R.A- Below 35 years; For Extended SRF - Below 33 years<br />Interested and eligible candidates should appear before the Selection Committee with atyped application addressed to the Sr.Prof. &amp; In-Charge, Registrar's Office, Bose Institute, P- 1/12, CIT Scheme VII-M, Kankurgachi, Kolkata-700054 along with Bio-data giving details of qualification i.e. examination passed, year, division, percentage of marks from Secondary onwards with attested copies of Certificates, Mark-Sheet and testimonials. The candidates should also bring the original mark-sheets, certificates etc. at the time of Interview.</p>

<p>Walk in Interview : 04.03.15</p>

<p>More at http://www.boseinst.ernet.in/ADVT/14/p_34.pdf</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21619/research-associate-biotechnologyjrflab-assistant-indian-institute-of-vegetable-research-iivr-varanasi-uttar-pradesh</guid>
  <pubDate>Wed, 11 Mar 2015 08:59:27 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Associate Biotechnology/JRF/Lab. Assistant  Indian Institute of Vegetable Research (IIVR) - Varanasi, Uttar Pradesh]]></title>
  <description><![CDATA[
<p>F. No.: 2-19/2011-Adm.I </p>

<p>Research Associate Biotechnology /JRF / Lab. Assistant recruitment in Indian Institute of Vegetable Research </p>

<p>Project:<br />Genomics assisted selection of Solanum chilense introgression lines for enhancing drought tolerance in tomato <br />Post Name : Research Associate <br />Qualification : Ph.D in Biotechnology/ Bioinformatics/Genetics &amp; Plant Breeding. M. Tech in Computer Science with at least one research paper in science citation indexed journal. Desirable: Experience in bioinformatics and next generation sequence data handling. Familiarity in Linux, R, Perl/Phython or other programming languages. Willingness to travel to European partner centers. </p>

<p>Pay Scale : Rs. 36000 for 1st and 2nd year as per rules for Research Associate. Rs. 25000/- for 1st and 2nd year and Rs. 28000 as per rules for Junior Research Fellow. Rs. 7000/- for Lab. Assistant. </p>

<p>Age : Not more than 35 years for Men and 40 years for Women (Relaxable for SC/ST/OBC/PH candidates as per rules) for Research Associate/ Junior Research Fellow. Minimum age will be 21 years and maximum age will be 45 years (Relaxable for SC/ST/OBC/PH candidates as per rules) for Lab.Assistant.</p>

<p>More at http://iivr.org.in/Job%20Oppurtunities/RA20.03.2015.pdf</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/22402/alessandra-carbone-lab</guid>
  <pubDate>Tue, 26 May 2015 08:54:34 -0500</pubDate>
  <link></link>
  <title><![CDATA[Alessandra Carbone Lab]]></title>
  <description><![CDATA[
<p>Our group works on various problems connected with the functioning and evolution of biological systems. We use mathematical tools, coming from statistics and combinatorics, algorithmic tools and molecular physics tools to study basic principles of cellular functioning starting from genomic data. We run several projects in parallel, all aiming at understanding the basic principles of evolution and co-evolution of molecular structures in the cell. They are intimately linked to each other.</p>

<p>Our main research themes are:</p>

<p>Domain annotation and metagenomics <br />Transcriptomics and sequence analysis<br />Protein evolution and interactions<br />Protein conformational dynamics</p>

<p>More at http://www.lcqb.upmc.fr/AnalGenom/home.html</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/22414/x-shirley-liu-lab</guid>
  <pubDate>Tue, 26 May 2015 17:28:23 -0500</pubDate>
  <link></link>
  <title><![CDATA[X. Shirley Liu Lab]]></title>
  <description><![CDATA[
<p>The research in our laboratories are focused on the following three areas: </p>

<p>Bioinformatics<br />Cancer<br />Epigenetics</p>

<p>More at http://liulab.dfci.harvard.edu/</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24462/icar-project-ra-position-institute-of-bioinformatics-iob-bangalore</guid>
  <pubDate>Tue, 22 Sep 2015 23:41:31 -0500</pubDate>
  <link></link>
  <title><![CDATA[ICAR project RA position @ Institute of Bioinformatics (IOB) Bangalore]]></title>
  <description><![CDATA[
<p>Applications are invited for the post of Research Associate (RA) in the ICAR project on "Lactation stress associated postpartum anestrus SNP array in buffaloes". We are looking for a motivated candidate for handling Next Generation sequencing data analysis with a strong background in bioinformatics and programming.</p>

<p>The position is open for immediate appointment and available for two years and then extendable for additional one year. The applicant will be appointed as Research Associate based on qualifications as detailed below:</p>

<p>Research Associate:</p>

<p>-Master’s degree with bioinformatics with at least 2 years of research experience in Next Generation sequencing data analysis as evidence from Fellowship/ Associateship / Training / other engagements.</p>

<p>-Familiarity with bioinformatics tools, database development, programming skills</p>

<p>-Minimum 1 publication in any peer reviewed journal</p>

<p>Salary will be as per ICAR rules and guidelines. Application will be shortlisted based on CV, reference letters from mentors and telephonic interview. Candidates will be called for a personal interview at Bangalore before appointment. No travel expense will be provided for attending interview at Bangalore.</p>

<p>Interested candidates may send a Letter of Interest and CV by email to: keshav@ibioinformatics.org before September 29, 2015.</p>
]]></description>
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