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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/44770?offset=690</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44661/lovis4u-locus-visualisation-tool-for-comparative-genomics</guid>
	<pubDate>Tue, 17 Sep 2024 02:30:57 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44661/lovis4u-locus-visualisation-tool-for-comparative-genomics</link>
	<title><![CDATA[LoVis4u: Locus Visualisation tool for comparative genomics]]></title>
	<description><![CDATA[<p dir="auto"><a href="https://github.com/art-egorov/lovis4u/blob/main/docs/img/lovis4u_logo.png" target="_blank"><img src="https://github.com/art-egorov/lovis4u/raw/main/docs/img/lovis4u_logo.png" alt="image" width="300" style="border: 0px; border: 0px;"></a></p>
<div dir="auto">
<h2 dir="auto">Description</h2>
<a href="https://github.com/art-egorov/lovis4u#description"></a></div>
<p dir="auto"><span>LoVis4u</span>&nbsp;is a bioinformatics tool for&nbsp;<span>Lo</span>ci&nbsp;<span>Vis</span>ualisation.</p>
<p dir="auto"><span>LoVis4u, a command-line tool and Python API designed for highly customizable and fast visualisation of multiple genomic loci. LoVis4u generates vector images in PDF format based on annotation data from GenBank or GFF files. It is capable of visualising entire genomes of bacteriophages as well as plasmids and user-defined regions of longer prokaryotic genomes. Additionally, LoVis4u offers optional data processing steps to identify and highlight accessory and core genes in input sequences.</span></p>
<p dir="auto">https://art-egorov.github.io/lovis4u/</p>
<p dir="auto">&nbsp;</p><p>Address of the bookmark: <a href="https://github.com/art-egorov/lovis4u" rel="nofollow">https://github.com/art-egorov/lovis4u</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/39939/automatic-predictive-model-constructor-apmc</guid>
	<pubDate>Mon, 16 Sep 2019 09:43:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/39939/automatic-predictive-model-constructor-apmc</link>
	<title><![CDATA[Automatic Predictive Model Constructor - APMC]]></title>
	<description><![CDATA[<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div>I would like to invite everyone interested in the subject of machine learning in life science, to test <strong>APMC</strong> module,</div><div>it`s a fully automatic tool (created by students) to simply create and develop supervised machine learning models</div><div>for classification and regression purposes. Links to tool, instruction and documentation bellow:</div><div><span style="font-size: 12.8px;"></span></div><ul>
<li><span style="font-size: 12.8px;">APMC:&nbsp;</span><a href="https://gene-calc.pl/apmc?fbclid=IwAR1j51l7qXsL3BuMPb-P5yQhwkmDCiVdoP-qodeCrbu2DbWtxtihRJ0n9-g" target="_blank">https://gene-calc.pl/apmc</a></li>
<li><span>How to use:&nbsp;</span><a href="https://l.facebook.com/l.php?u=https%3A%2F%2Fgene-calc.pl%2Fapmc%2Fhow-to-use%3Ffbclid%3DIwAR3tCwJiegeuVn_ZZ-YPD7lB7UrqGWaab_zItU30MvFKZiuheSEiGUxyZ9Y&amp;h=AT1x8z09NwNUiLjTgNw8Vzg9OLsEjnpHESvjOescfLF-mzjMMqTBnkh5AqHRkOaXwjVHetdQtQO7mgstwke6ivUz-hzT-ifo5TrMBuMm8XMTmvhz7nyDdKmQZ38yyXW942J_47Oj5YxYxWaMDreugIU2ytT2yvxvgKi-FgNo4N7mvYoj_1A5eCuNxHWuGA3voYn0GAWSSR96ZK4gsj3pvqBcCK9Zi2Fo8IoBNK9JZIbtnV9fdvZLMEUryCoWEceZkMX-76jmGinOXss5L3AGp_6oSUr_aFus73B4q5PXMbKubUoU4inr-0kVoO0werx5YNPWdgXtpiyD6TKXQIhI6lDtyi2jx645A5CKqW-nARPqKwa-Iwtt-KGoNyHvcSnhvfLPK9n4Lhs8W6PK9ZeobOqHwm4y1C1my-N4dvlmvGBWTgSj_E31e0GIhYxvI9Uk3nREVnMw3lfD20BTmwL-wfhSidm8Lue_Akn1Flpfcl0jP1DBpkcwJ3OMxDVA82bL4lcsGmyLGedXjrpKAiVGF3R_e57r9EeI5bWyrbYZGTaHJdOGJBQSvplDir_AfH9Pr5NSRVZOStr13e6XxUIXhCiR58Qua_yuQOsNYBKGN5OP7XAL0DeFIKmI" target="_blank">https://gene-calc.pl/apmc/how-to-use</a></li>
<li><span>Documentation:&nbsp;</span><a href="https://gene-calc.pl/apmc/documentation?fbclid=IwAR1_2agQ8vnqDw0DudUI5UJq3_ip0EFwWR3zyccOynaDlbzkfFmYXnPtFXI" target="_blank">https://gene-calc.pl/apmc/documentation</a></li>
</ul></div></div></div></div></div></div></div></div></div></div></div></div></div></div>]]></description>
	<dc:creator>Jan Bińkowski</dc:creator>
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