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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/29144?offset=500</link>
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	<description><![CDATA[]]></description>
	
	
<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/40503/3-phd-positions-available-in-the-area-of-bioinformaticscomputational-biology-at-ulsteracuk</guid>
  <pubDate>Thu, 02 Jan 2020 12:41:10 -0600</pubDate>
  <link></link>
  <title><![CDATA[3 PhD positions available in the area of Bioinformatics/Computational Biology at ulster.ac.uk]]></title>
  <description><![CDATA[
<p>3 PhD positions available in the area of Bioinformatics/Computational Biology, Machine Learning (ML)/Artificial Intelligence (AI), Biomarker Discovery, Stratified/Personalized Medicine in Mental Health, Diabetes and Multimorbidity. Please see details (weblinks) below:</p>

<p>1. https://www.ulster.ac.uk/doctoralcollege/find-a-phd/510894<br />2. https://www.ulster.ac.uk/doctoralcollege/find-a-phd/511458<br />3. https://www.ulster.ac.uk/doctoralcollege/find-a-phd/512618</p>

<p>Looking for students with good computational/programming skills (preferable in Linux/Shell, Python and/or R) and knowledge in computational biology and statistics. However, students from more biology oriented background but strong interest to learn bioinformatics and programming are also encouraged to apply.</p>

<p>Informal inquiries are welcomed at: p.shukla@ulster.ac.uk</p>

<p>Dr Priyank Shukla PhD FHEA FCHERP<br />Lecturer (Asst Prof) in Stratified Medicine (Bioinformatics)</p>

<p>Northern Ireland Centre for Stratified Medicine<br />Biomedical Sciences Research Institute<br />University of Ulster (Magee Campus)<br />C-TRIC Building, Altnagelvin Area Hospital<br />Glenshane Road, Derry/Londonderry<br />BT47 6SB, Northern Ireland, United Kingdom</p>

<p>T: +44 28 7167 5690<br />E: p.shukla@ulster.ac.uk<br />W: https://www.ulster.ac.uk/staff/p-shukla</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42263/data-steward-research-development-specialist-at-at-the-luxembourg-centre-for-systems-biomedicine-lcsb</guid>
  <pubDate>Sun, 25 Oct 2020 22:36:38 -0500</pubDate>
  <link></link>
  <title><![CDATA[Data Steward / Research &amp; Development Specialist at at the Luxembourg Centre for Systems Biomedicine (LCSB)]]></title>
  <description><![CDATA[
<p>Applications should be addressed online to: Prof. Dr. Reinhard Schneider, Head of the Bioinformatics Core Facility</p>

<p>For further information, please contact: Dr. Pinar Alper (pinar.alper@uni.lu)</p>

<p>Applications should be submitted online and include:</p>

<p>A detailed curriculum vitae<br />Cover letter mentioning the reference number<br />List of publications/software projects<br />Description of past experience and future interests<br />Names and addresses of three referees<br />Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by email will not be considered.</p>

<p>*gn=gender neutral.</p>

<p>More at https://recruitment.uni.lu/en/details.html?nPostingId=54616&amp;nPostingTargetId=74219&amp;id=QMUFK026203F3VBQB7V7VV4S8&amp;LG=UK&amp;mask=karriereseiten&amp;sType=Social%20Recruiting</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44257/calculate-the-significance-of-the-difference-between-two-trends</guid>
	<pubDate>Tue, 14 Mar 2023 05:41:53 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44257/calculate-the-significance-of-the-difference-between-two-trends</link>
	<title><![CDATA[Calculate the significance of the difference between two trends]]></title>
	<description><![CDATA[<div><div><div><div><div><div><div><div><div><div><p>To calculate the significance of the difference between two trends, you can use a statistical test such as a t-test or ANOVA (analysis of variance). Here are the general steps to follow:</p><ol>
<li>
<p>Define your null hypothesis (H0) and alternative hypothesis (H1). For example, H0 might be that there is no significant difference between the two trends, while H1 might be that there is a significant difference.</p>
</li>
<li>
<p>Collect data on the two trends. Make sure that the data is independent, normally distributed, and has equal variances.</p>
</li>
<li>
<p>Calculate the means and standard deviations of each trend.</p>
</li>
<li>
<p>Calculate the test statistic using a t-test or ANOVA. The test statistic will depend on the specific test you choose, but it will generally compare the difference in means between the two trends to the variability within each trend.</p>
</li>
<li>
<p>Determine the p-value associated with the test statistic. The p-value represents the probability of obtaining a test statistic as extreme as the one you calculated, assuming that the null hypothesis is true.</p>
</li>
<li>
<p>Compare the p-value to your chosen significance level (usually 0.05 or 0.01). If the p-value is less than or equal to the significance level, reject the null hypothesis and conclude that there is a significant difference between the two trends. If the p-value is greater than the significance level, fail to reject the null hypothesis and conclude that there is not enough evidence to support a significant difference.</p>
</li>
</ol><p>It's important to note that the specific details of each step will depend on the type of test you choose and the software you use to perform the analysis.</p><p>The most common methods for comparing means include:</p><table>
<thead>
<tr><th>Methods</th><th>R function</th><th>Description</th></tr>
</thead>
<tbody>
<tr>
<td>T-test</td>
<td>t.test()</td>
<td>Compare two groups (parametric)</td>
</tr>
<tr>
<td>Wilcoxon test</td>
<td>wilcox.test()</td>
<td>Compare two groups (non-parametric)</td>
</tr>
<tr>
<td>ANOVA</td>
<td>aov() or anova()</td>
<td>Compare multiple groups (parametric)</td>
</tr>
<tr>
<td>Kruskal-Wallis</td>
<td>kruskal.test()</td>
<td>Compare multiple groups (non-parametric)<br /><br /></td>
</tr>
</tbody>
</table></div></div></div></div></div></div></div></div></div></div>]]></description>
	<dc:creator>BioStar</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42164/postdoctoral-researcher-in-statistical-bioinformatics-at-orebro-university</guid>
  <pubDate>Wed, 26 Aug 2020 10:20:11 -0500</pubDate>
  <link></link>
  <title><![CDATA[Postdoctoral Researcher in Statistical Bioinformatics at Örebro University]]></title>
  <description><![CDATA[
<p>The position is in Medical Sciences, with special focus on Statistical Bioinformatics.</p>

<p>The position is a full-time position for a fixed term of two years. The salary depends on the successful candidate’s qualifications and experience.</p>

<p>For more information, please contact Prof. Dirk Repsilber,This is an email address, Prof. Hugo Hesser, This is an email addressor Prof. Allan Sirsjö, allan.This is an email address, or Prof. Robert Brummer,This is an email address.</p>

<p>Örebro University actively pursues an equal work environment and values the qualities that diversity adds to our operations.</p>

<p>More detail at https://www.oru.se/english/working-at-orebro-university/jobs-and-vacancies/job/?jid=20200286/</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42308/icmr-scientist-jobs-for-biotechlife-sciencebiology-bioinformatics</guid>
  <pubDate>Tue, 10 Nov 2020 18:45:49 -0600</pubDate>
  <link></link>
  <title><![CDATA[ICMR Scientist Jobs For Biotech/Life Science/Biology &amp; Bioinformatics]]></title>
  <description><![CDATA[
<p>CMR welcomes on-line applications up to 5th December 2020 till 5:30 PM to fill out the vacancies of 42 Scientist’ E’ (Medical), 01 Scientist ‘E’ (Non-Medical), 16 Scientist ‘D’ (Medical) and also 06 Scientist ‘D’ (Non-Medical) from Indian Citizens for appointment on regular basis under Direct Recruitment with all India transfer liability under the Council.</p>

<p>Post I</p>

<p>Name of the Post: Scientist-E (Non-Medical)</p>

<p>Number of positions: One</p>

<p>Upper Age limit: 50 years</p>

<p>Post II</p>

<p>Name of the Post: Scientist-D (Non-Medical)</p>

<p>Number of positions: Six</p>

<p>Upper Age limit: 45 years</p>

<p>Fee:</p>

<p>Application Fee of Rs. 1500/- (Rupees one thousand five hundred only) is needed. SC / ST / Women/ PWD/ EWS applicants are exempted from application fee. Application Fee is to be paid by candidates through online web link given up the application. Application fees when paid will certainly not be reimbursed under any situations.</p>

<p>How to apply:</p>

<p>i) Candidates should apply online on https://recruit.icmr.org.in. A separate application needs to be submitted for every post, with the required application fee.</p>

<p>ii) Following self-attested documents are required to be uploaded together with the application:<br />a) Proof of Date of Birth.<br />b) Educational qualifications.<br />c) Experience.</p>

<p>More at https://recruit.icmr.org.in/assets/uploads/advertisement/ICMR_Advertisement_06112020.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42499/galaxy-training-resources</guid>
	<pubDate>Sun, 27 Dec 2020 05:28:07 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42499/galaxy-training-resources</link>
	<title><![CDATA[Galaxy Training Resources !]]></title>
	<description><![CDATA[<p>Welcome to Galaxy Training!</p>
<p>Collection of tutorials developed and maintained by the worldwide Galaxy community</p>
<table>
<thead>
<tr><th>Topic</th><th>Tutorials</th></tr>
</thead>
<tbody>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/introduction/">Introduction to Galaxy Analyses</a></td>
<td>10</td>
</tr>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/assembly/">Assembly</a></td>
<td>6</td>
</tr>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/climate/">Climate</a></td>
<td>3</td>
</tr>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/computational-chemistry/">Computational chemistry</a></td>
<td>6</td>
</tr>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/ecology/">Ecology</a></td>
<td>6</td>
</tr>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/epigenetics/">Epigenetics</a></td>
<td>6</td>
</tr>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/genome-annotation/">Genome Annotation</a></td>
<td>3</td>
</tr>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/imaging/">Imaging</a></td>
<td>3</td>
</tr>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/metabolomics/">Metabolomics</a></td>
<td>4</td>
</tr>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/metagenomics/">Metagenomics</a></td>
<td>7</td>
</tr>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/proteomics/">Proteomics</a></td>
<td>18</td>
</tr>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/sequence-analysis/">Sequence analysis</a></td>
<td>2</td>
</tr>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/statistics/">Statistics and machine learning</a></td>
<td>8</td>
</tr>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/transcriptomics/">Transcriptomics</a></td>
<td>23</td>
</tr>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/variant-analysis/">Variant Analysis</a></td>
<td>8</td>
</tr>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/visualisation/">Visualisation</a></td>
<td>2</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p><p>Address of the bookmark: <a href="https://training.galaxyproject.org/training-material/" rel="nofollow">https://training.galaxyproject.org/training-material/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42801/scientist-position-in-structural-bioinformatics-at-lonza</guid>
  <pubDate>Wed, 03 Feb 2021 21:38:06 -0600</pubDate>
  <link></link>
  <title><![CDATA[Scientist position in Structural Bioinformatics at Lonza]]></title>
  <description><![CDATA[
<p>Lonza (https://www.lonza.com/) are seeking a highly motivated and skilled (Senior) Scientist with experience in Structure-based Protein Engineering and Bioinformatics to join Lonza's Applied Protein Services (APS) Bioinformatics team based in Cambridge, UK.</p>

<p>More at https://instruct-eric.eu/jobs/scientist-position-in-structural-bioinformatics-at-lonza-cambridge-uk/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/42814/bioinformatics-in-africa-part6-sudan</guid>
	<pubDate>Sat, 06 Feb 2021 21:20:59 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/42814/bioinformatics-in-africa-part6-sudan</link>
	<title><![CDATA[Bioinformatics in Africa: Part6 - Sudan]]></title>
	<description><![CDATA[<p>Commission&nbsp;for&nbsp;Biotechnology&nbsp;&amp;&nbsp;Genetic&nbsp;Engineering&nbsp;&shy;&nbsp;Khartoum: The&nbsp;Commission&nbsp;for&nbsp;Biotechnology&nbsp;and&nbsp;Genetic&nbsp;Engineering&nbsp;was&nbsp;established&nbsp;in&nbsp;9/2/1993&nbsp;as&nbsp; research&nbsp;unit.&nbsp;In&nbsp;addition&nbsp;to&nbsp;research&nbsp;activities&nbsp;it&nbsp;acts&nbsp;as&nbsp;focal&nbsp;point&nbsp;for&nbsp;the&nbsp;International&nbsp;Center&nbsp;for&nbsp; Biotechnology&nbsp;and&nbsp;Genetic&nbsp;Engineering. The&nbsp;commission&nbsp;conducts&nbsp;researches&nbsp;in&nbsp;order&nbsp;to&nbsp;play&nbsp;a&nbsp;part&nbsp;in&nbsp;solving&nbsp;economical,&nbsp;environmental,&nbsp; health&nbsp;and&nbsp;nutritional&nbsp;problems&nbsp;using&nbsp;modern&nbsp;research&nbsp;techniques&nbsp;with&nbsp;an&nbsp;emphasis&nbsp;on&nbsp;the&nbsp;applied&nbsp; researches&nbsp;in&nbsp;these&nbsp;areas. The&nbsp;laboratories&nbsp;were&nbsp;well&nbsp;furnished&nbsp;with&nbsp;the&nbsp;essential&nbsp;equipments&nbsp;and&nbsp;the&nbsp;catalyst&nbsp;infrastructure&nbsp;to&nbsp; facilitate&nbsp;emergence&nbsp;of&nbsp;a&nbsp;successful&nbsp;for&nbsp;research.&nbsp;The&nbsp;Commission&nbsp;equipped&nbsp;with&nbsp;a&nbsp;computer&nbsp;center&nbsp; and&nbsp;information&nbsp;to&nbsp;serve&nbsp;as&nbsp;informatics&nbsp;and&nbsp;Digital&nbsp;library.</p><p>Research&nbsp;Interest&nbsp;and&nbsp;Activities: 1. Plant&nbsp;Genetic&nbsp;Transformations<br />2. Molecular&nbsp;Population&nbsp;Genetics 3. Detection&nbsp;of&nbsp;human&nbsp;and&nbsp;Animals&nbsp;diseases 4. Breast&nbsp;Cancer&shy;specific&nbsp;protein&nbsp;marker 5. Phytochemical 6. Genomic&nbsp;map 7. Bioremediation 8. Tissue&nbsp;Culture.</p><p>Web&nbsp;site&nbsp;and&nbsp;links: www.geocity.cbge.com</p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>

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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/43262/bioinformatics-research-scientist-oklahoma-state-university-osu</guid>
  <pubDate>Tue, 17 Aug 2021 13:24:39 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Research Scientist @ Oklahoma State University (OSU)]]></title>
  <description><![CDATA[
<p>This position is an early career research scientist in the area of Bioinformatics to support research projects involving faculty and staff, at Oklahoma State University (OSU). This is a highly technical position that requires a strong research background in biomedical or life sciences, including a high level of expertise with bioinformatics algorithms, databases, and analyses with a focus on next-generation sequence data. Although most of the projects will deal directly with the analysis of DNA and RNA sequence data the individual should be well versed in other types of data sources as well (i.e., microarrays) and handling of large datasets (using data analytics, machine learning, and deep learning techniques). </p>

<p>More at https://okstate.csod.com/ats/careersite/JobDetails.aspx?site=8&amp;id=9874</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40516/nextdenovo-string-graph-based-de-novo-assembler-for-tgs-long-reads</guid>
	<pubDate>Sun, 05 Jan 2020 04:08:29 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40516/nextdenovo-string-graph-based-de-novo-assembler-for-tgs-long-reads</link>
	<title><![CDATA[NextDenovo: string graph-based de novo assembler for TGS long reads]]></title>
	<description><![CDATA[<p>NextDenovo is a string graph-based<span>&nbsp;</span><em>de novo</em><span>&nbsp;</span>assembler for TGS long reads. It uses a "correct-then-assemble" strategy similar to canu, but requires significantly less computing resources and storages. After assembly, the per-base error rate is about 97-98%, to further improve single base accuracy, please use<span>&nbsp;</span><a href="https://github.com/Nextomics/NextPolish">NextPolish</a>.</p>
<p>NextDenovo contains two core modules: NextCorrect and NextGraph. NextCorrect can be used to correct TGS long reads with approximately 15% sequencing errors, and NextGraph can be used to construct a string graph with corrected reads. It also contains a modified version of<span>&nbsp;</span><a href="https://github.com/lh3/minimap2">minimap2</a><span>&nbsp;</span>for adapting input and output and producing more sensitive and accurate dovetail overlaps, and some useful utilities (see<span>&nbsp;</span><a href="https://github.com/Nextomics/NextDenovo/blob/master/doc/UTILITY.md">here</a><span>&nbsp;</span>for more details).</p><p>Address of the bookmark: <a href="https://github.com/Nextomics/NextDenovo" rel="nofollow">https://github.com/Nextomics/NextDenovo</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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