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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/34912?offset=280</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40721/efs-an-ensemble-feature-selection-tool-implemented-as-r-package-and-web-application</guid>
	<pubDate>Tue, 28 Jan 2020 05:12:23 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40721/efs-an-ensemble-feature-selection-tool-implemented-as-r-package-and-web-application</link>
	<title><![CDATA[EFS: an ensemble feature selection tool implemented as R-package and web-application]]></title>
	<description><![CDATA[<p><span>The software EFS (Ensemble Feature Selection) makes use of multiple feature selection methods and combines their normalized outputs to a quantitative ensemble importance. Currently, eight different feature selection methods have been integrated in EFS, which can be used separately or combined in an ensemble.</span></p>
<p><a href="https://biodatamining.biomedcentral.com/articles/10.1186/s13040-017-0142-8">https://biodatamining.biomedcentral.com/articles/10.1186/s13040-017-0142-8</a></p><p>Address of the bookmark: <a href="http://efs.heiderlab.de/" rel="nofollow">http://efs.heiderlab.de/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41863/ppai-a-web-server-for-predicting-protein-aptamer-interactions</guid>
	<pubDate>Fri, 12 Jun 2020 07:26:23 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41863/ppai-a-web-server-for-predicting-protein-aptamer-interactions</link>
	<title><![CDATA[PPAI: a web server for predicting protein-aptamer interactions]]></title>
	<description><![CDATA[<p><span>PPAI can query aptamers and proteins, predict aptamers and predict protein-aptamer interactions in batch mode precisely and efficiently, which would be a novel bioinformatics tool for the research of protein-aptamer interactions. PPAI web-server is freely available at&nbsp;</span><a href="http://39.96.85.9/PPAI">http://39.96.85.9/PPAI</a></p><p>Address of the bookmark: <a href="http://39.96.85.9/PPAI/" rel="nofollow">http://39.96.85.9/PPAI/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/32948/simba-a-web-tool-for-managing-bacterial-genome-assembly-generated-by-ion-pgm-sequencing-technology</guid>
	<pubDate>Tue, 23 May 2017 05:28:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/32948/simba-a-web-tool-for-managing-bacterial-genome-assembly-generated-by-ion-pgm-sequencing-technology</link>
	<title><![CDATA[SIMBA: a web tool for managing bacterial genome assembly generated by Ion PGM sequencing technology]]></title>
	<description><![CDATA[<p><span>SIMBA</span><span>, SImple Manager for Bacterial Assemblies, is a Web interface for managing assembly projects of bacterial genomes. SIMBA was created to assist bioinformaticians to assemble bacterial genomes sequenced with NextGeneration Sequencing (NGS) platforms quickly, easily and effectively. SIMBA also is open source tool, i.e., can be freely downloaded, shared and modified.</span></p>
<p>https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-016-1344-7</p><p>Address of the bookmark: <a href="http://ufmg-simba.sourceforge.net/" rel="nofollow">http://ufmg-simba.sourceforge.net/</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35119/frontend-perl-web-framework-documentation-andrej-sali-lab</guid>
	<pubDate>Mon, 08 Jan 2018 22:32:03 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35119/frontend-perl-web-framework-documentation-andrej-sali-lab</link>
	<title><![CDATA[Frontend: Perl Web framework documentation - Andrej Sali Lab]]></title>
	<description><![CDATA[<p><span>The frontend is a set of Perl classes that displays the web interface, allowing a user to upload their input files, start a job, display a list of all jobs in the system, and get back job results. The main&nbsp;</span><a href="https://saliweb.readthedocs.io/en/latest/modules/frontend.html#saliwebfrontend" title="saliwebfrontend"><code><span>saliwebfrontend</span></code></a><span>&nbsp;class must be subclassed for each web service. This class is then used to display the web pages using a set of CGI scripts that are set up automatically by the build system.</span></p><p>Address of the bookmark: <a href="https://saliweb.readthedocs.io/en/latest/frontend.html" rel="nofollow">https://saliweb.readthedocs.io/en/latest/frontend.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4873/vveks-lab</guid>
  <pubDate>Thu, 26 Sep 2013 11:11:39 -0500</pubDate>
  <link></link>
  <title><![CDATA[Vvek's Lab]]></title>
  <description><![CDATA[
<p>Broad Area of Research: RNA biology (microRNA, lncRNA), Stem cells, Functional genomics, Epigenomics and Cancer</p>

<p>RNAs, especially non-coding RNAs (such as microRNA, long ncRNAs) are recently identified to be very abundant in mammalian organisms and play some key roles in gene expression regulation, gene silencing, and also implicated in disease progression, stem cell pluripotency etc. Current research activities of our lab include analysis of expression pattern of ncRNAs by microarray and next-gen sequencing data and understanding the role of miRNAs or other regulatory RNAs in various diseases, especially cancer and validation by reporter assays (renilla/luciferase) and other experimental tools.</p>

<p>More @ http://vvekslab.in/index.html</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/17501/nieduszynski-group</guid>
  <pubDate>Fri, 26 Sep 2014 19:35:06 -0500</pubDate>
  <link></link>
  <title><![CDATA[Nieduszynski Group]]></title>
  <description><![CDATA[
<p>Complete, accurate replication of the genome is essential for life. All chromosomes in eukaryotic cells must be duplicated and then segregated to daughter cells to ensure genetic integrity and produce the large number of cells that make up a multicellular organism. We are using genetic, genomic and computational methods to understand how chromosome replication is regulated to ensure genome stability. By focusing on the basic biology that underpins cell growth and division we aim to provide new insights that may help our understanding of diseases such as cancer and congenital disorders. </p>

<p>More http://www.nieduszynski.org/index.php<br />http://www.path.ox.ac.uk/research/cell-biology-and-pathology/conrad-nieduszynski-group</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42803/bioinformatician-purdue-cancer-center</guid>
  <pubDate>Wed, 03 Feb 2021 22:54:14 -0600</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatician - Purdue Cancer Center]]></title>
  <description><![CDATA[
<p>The Center for Cancer Research is an NCI-designated cancer center. The center is a catalyst for collaborative cancer research around Purdue University. In this role, the selected individual will have the opportunity to cooperate with Purdue faculty and students in performing cutting-edge research and analyses, with opportunities for professional development, and the possibility of co-authorship in faculty research publications. <br />Projects will be challenging, including various model organisms, and we are looking for an individual who is excited about interacting with multi-disciplinary cancer research groups and the development of new tools, techniques, and workflows. Independently perform both routine and project-specific analyses, advise faculty on the design of experiments, writing manuscripts for publication, and writing grant proposals. Interact and collaborate with bioinformatics services (i.e. Statistical Consulting Center to provide relevant services to the campus research community), where applicable. Support all of the bioinformatics activities of the Center for Cancer Research at Purdue University<br />Required:</p>

<p>Master's degree in bioinformatics, computer science, molecular biology, or related field<br />One year of experience in analyzing RNA-Seq data <br />In lieu of a degree, consideration will be given to an equivalent combination of related education and required work experience.<br />Understanding of molecular biology, biochemistry, and genetics<br />Proficiency in writing scripts using Perl, Python, Java, or equivalent languages<br />Proficiency in R and UNIX/LINUX <br />Knowledge of genomics, alignment, annotation, bioinformatics, concepts of sequence assembly<br />Highly motivated and detail-oriented<br />Ability, interest, and curiosity to learn new skills<br />Must possess strong communication skills to work effectively with users across disciplines<br />Ability to work independently and as part of a multi-disciplinary team<br />Strong visual, verbal, and written communication skills<br />Excellent time organizational skills<br />Preferred:</p>

<p>Experience writing software or building software pipelines<br />Experience with oncology-specific public databases including TCGA<br />Experience with deploying and/or running software on high-performance computational systems<br />Statistical and experimental design knowledge<br />Additional Information: </p>

<p>This position is contingent on the availability of funding<br />Purdue will not sponsor employment authorization for this position  <br />A background check will be required for employment in this position<br />FLSA: Exempt (Not Eligible For Overtime)<br />Retirement Eligibility: Defined Contribution Waiting Period <br />Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply</p>

<p>More at https://careers.purdue.edu/job/West-Lafayette-Bioinformatician-Purdue-Cancer-Center-IN-47906/686617600/</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/41040/phd-position-in-molecular-cell-biology</guid>
  <pubDate>Sat, 15 Feb 2020 06:09:55 -0600</pubDate>
  <link></link>
  <title><![CDATA[PhD position in Molecular Cell Biology]]></title>
  <description><![CDATA[
<p>https://www.jobvector.de/jobs-stellenangebote/biologie-life-sciences/wissenschaftliche-r-mitarbeiter-in/phd-position-molecular-cell-biology-129604.html?suid=0ec057818886c1eceac674ca3f83943367a6cbe2</p>

<p>Essential experience / qualifications:<br />We are looking for highly motivated candidates holding a Master / Diploma in Biology, Biochemistry, Molecular Medicine or similar; solid knowledge of molecular and cell biological techniques; good English knowledge.</p>

<p>Applications:<br />Please send your application (including CV, letter of motivation, contact information of two references, and list of publication) by 13.03.2020 at the latest to:</p>

<p>Universitätsklinikum Erlangen<br />Chirurgische Klinik<br />Translational Research Center<br />Prof. Dr. rer. nat. Michael Stürzl<br />Schwabachanlage 12<br />91054 Erlangen<br />E-Mail: michael.stuerzl@uk-erlangen.de</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36806/manta-rapid-detection-of-structural-variants-and-indels-for-germline-and-cancer-sequencing-applications</guid>
	<pubDate>Mon, 28 May 2018 09:41:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36806/manta-rapid-detection-of-structural-variants-and-indels-for-germline-and-cancer-sequencing-applications</link>
	<title><![CDATA[Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications.]]></title>
	<description><![CDATA[Manta calls structural variants (SVs) and indels from mapped paired-end sequencing reads. It is optimized for analysis of germline variation in small sets of individuals and somatic variation in tumor/normal sample pairs. Manta discovers, assembles and scores large-scale SVs, medium-sized indels and large insertions within a single efficient workflow.<p>Address of the bookmark: <a href="https://github.com/Illumina/manta" rel="nofollow">https://github.com/Illumina/manta</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/40957/multiple-phd-positions</guid>
  <pubDate>Sun, 09 Feb 2020 03:10:28 -0600</pubDate>
  <link></link>
  <title><![CDATA[Multiple PhD positions]]></title>
  <description><![CDATA[
<p>14 PhD positions in the EU Horizon 2020 Marie Skłodowska-Curie Project PRECODE:<br />International training network which sets a joint research programme to train a new generation of leading scientists in model systems and methods for the development of new therapies for pancreatic cancer (PaCa)</p>

<p>http://precode-project.eu/jobs-board/#1572451761376-39d75f63-c6fb</p>
]]></description>
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