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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/40409?offset=60</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40856/3d-de-novo-assembly-3d-dna-pipeline</guid>
	<pubDate>Sun, 02 Feb 2020 13:41:55 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40856/3d-de-novo-assembly-3d-dna-pipeline</link>
	<title><![CDATA[3D de novo assembly (3D DNA) pipeline]]></title>
	<description><![CDATA[<p>For a detailed description of the pipeline and how it integrates with other tools designed by the Aiden Lab see&nbsp;<a href="http://aidenlab.org/assembly/manual_180322.pdf">Genome Assembly Cookbook</a>&nbsp;on&nbsp;<a href="http://aidenlab.org/assembly">http://aidenlab.org/assembly</a>.</p>
<p>For the original version of the pipeline and to reproduce the Hs2-HiC and the AaegL4 genomes reported in&nbsp;<a href="http://science.sciencemag.org/content/356/6333/92">(Dudchenko et al.,&nbsp;<em>Science</em>, 2017)</a>&nbsp;see the&nbsp;<a href="https://github.com/theaidenlab/3d-dna/tree/745779bdf64db6e55bddb70c24e9b58825938c33">original commit</a>.</p>
<p>For the detailed description of the merge section see&nbsp;<a href="https://github.com/theaidenlab/AGWG-merge">https://github.com/theaidenlab/AGWG-merge</a>.</p><p>Address of the bookmark: <a href="https://github.com/theaidenlab/3d-dna" rel="nofollow">https://github.com/theaidenlab/3d-dna</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41998/wgddetector-a-pipeline-for-detecting-whole-genome-duplication-events-using-the-genome-or-transcriptome-annotations</guid>
	<pubDate>Thu, 23 Jul 2020 05:52:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41998/wgddetector-a-pipeline-for-detecting-whole-genome-duplication-events-using-the-genome-or-transcriptome-annotations</link>
	<title><![CDATA[WGDdetector: a pipeline for detecting whole genome duplication events using the genome or transcriptome annotations]]></title>
	<description><![CDATA[<p><span>WGDdetector pipeline that integrates all analyses including gene family constructing, dS estimating and phasing, and outputting the dS values of each paralogs pairs processed with only one command. We further chose four species (</span><em>Arabidopsis thaliana</em><span>,<span>&nbsp;</span></span><em>Juglans regia</em><span>,<span>&nbsp;</span></span><em>Populus trichocarpa</em><span><span>&nbsp;</span>and<span>&nbsp;</span></span><em>Xenopus laevis</em><span>) representing herb, wood and animal, to test its practicability. Our final results showed a high degree of accuracy with the previous studies using both genome and transcriptome data.</span></p>
<p><span>More at <a href="https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-2670-3">https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-2670-3</a></span></p><p>Address of the bookmark: <a href="https://github.com/yongzhiyang2012/wgddetector" rel="nofollow">https://github.com/yongzhiyang2012/wgddetector</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43062/jcvi-utility-libraries</guid>
	<pubDate>Sat, 08 May 2021 22:04:02 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43062/jcvi-utility-libraries</link>
	<title><![CDATA[JCVI utility libraries]]></title>
	<description><![CDATA[<p><span>Collection of Python libraries to parse bioinformatics files, or perform computation related to assembly, annotation, and comparative genomics.</span></p><p>Address of the bookmark: <a href="https://github.com/tanghaibao/jcvi" rel="nofollow">https://github.com/tanghaibao/jcvi</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44373/mitohifi-a-python-pipeline-for-mitochondrial-genome-assembly-from-pacbio-high-fidelity-reads</guid>
	<pubDate>Tue, 05 Sep 2023 07:31:35 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44373/mitohifi-a-python-pipeline-for-mitochondrial-genome-assembly-from-pacbio-high-fidelity-reads</link>
	<title><![CDATA[MitoHiFi: a python pipeline for mitochondrial genome assembly from PacBio high fidelity reads]]></title>
	<description><![CDATA[<p dir="auto">MitoHiFi v3.2 is a python pipeline distributed under&nbsp;<a href="https://github.com/marcelauliano/MitoHiFi/blob/master/LICENSE">MIT License</a>&nbsp;!</p>
<p dir="auto">MitoHiFi was first developed to assemble the mitogenomes for a wide range of species in the Darwin Tree of Life Project (DToL)</p>
<p dir="auto">https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-023-05385-y&nbsp;</p>
<p dir="auto"><a href="https://github.com/marcelauliano/MitoHiFi/blob/master/docs/dtol-logo-round-300x132.png" target="_blank"><img src="https://github.com/marcelauliano/MitoHiFi/raw/master/docs/dtol-logo-round-300x132.png" alt="" style="border: 0px; border: 0px;"></a></p><p>Address of the bookmark: <a href="https://github.com/marcelauliano/MitoHiFi" rel="nofollow">https://github.com/marcelauliano/MitoHiFi</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44597/imagine-in-silico-metagenomics-pipeline</guid>
	<pubDate>Sat, 06 Jul 2024 04:32:18 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44597/imagine-in-silico-metagenomics-pipeline</link>
	<title><![CDATA[iMAGine - in silico MetAGenomics pipeline]]></title>
	<description><![CDATA[<p dir="auto"><span>iMAGine</span>&nbsp;is a metagenomic workflow which includes filtering, assembling, and binning.</p>
<p dir="auto">This workflow includes the following tools which are needed to be installed in the system.</p>
<ol dir="auto">
<li><a href="https://github.com/OpenGene/fastp">fastp</a></li>
<li><a href="https://github.com/ablab/spades">spades assembler</a></li>
<li><a href="https://github.com/ablab/quast">QUAST</a></li>
<li><a href="https://github.com/lh3/bwa">bwa</a></li>
<li><a href="https://github.com/samtools/samtools">samtools</a></li>
<li><a href="https://bitbucket.org/berkeleylab/metabat/src/master/">metabat2</a></li>
<li><a href="https://github.com/Ecogenomics/CheckM">CheckM</a></li>
</ol><p>Address of the bookmark: <a href="https://github.com/avishekdutta14/iMAGine" rel="nofollow">https://github.com/avishekdutta14/iMAGine</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/13522/yannick-wurm-lab</guid>
  <pubDate>Thu, 07 Aug 2014 18:02:37 -0500</pubDate>
  <link></link>
  <title><![CDATA[Yannick Wurm Lab]]></title>
  <description><![CDATA[
<p>Evolutionary genomics of social insects. Extensive theoretical work has explained how and why complex societies evolve. However, only little is known about the genes and molecular mechanisms responsible for social phenotypes. We have been identifying genes and mechanisms involved in the evolution of insect societies using modern genomics tools (Illumina, RNAseq, RADseq...). For example we recently:</p>

<p>1. sequenced and analyzed the genome of the invasive red fire ant Solenopsis invicta (PNAS 2011)</p>

<p>2. discovered that a fundamental social trait in this species (how many queens are accepted in the colony) is determined by variants of a social chromosome (Nature 2013).</p>

<p>3. described the gene expression changes that occur in a virgin queen when she is given the opportunity of replacing her mother (Mol Ecol 2010).</p>

<p>Homepage: http://yannick.poulet.org/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/32905/bigmac-breaking-inaccurate-genomes-and-merging-assembled-contigs-for-long-read-metagenomic-assembly</guid>
	<pubDate>Mon, 22 May 2017 05:43:51 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/32905/bigmac-breaking-inaccurate-genomes-and-merging-assembled-contigs-for-long-read-metagenomic-assembly</link>
	<title><![CDATA[BIGMAC : breaking inaccurate genomes and merging assembled contigs for long read metagenomic assembly]]></title>
	<description><![CDATA[<p>This tool is for users to upgrade their metagenomics assemblies using long reads. This includes fixing mis-assemblies and scaffolding/gap-filling. If you encounter any issues, please contact me at&nbsp;<a href="mailto:kklam@eecs.berkeley.edu">kklam@eecs.berkeley.edu</a>. My name is Ka-Kit Lam.</p>
<p>https://github.com/kakitone/MetaFinisherSC</p>
<p>https://github.com/kakitone/BIGMAC</p><p>Address of the bookmark: <a href="https://github.com/kakitone/BIGMAC" rel="nofollow">https://github.com/kakitone/BIGMAC</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36723/hapsembler-an-assembler-for-highly-polymorphic-genomes</guid>
	<pubDate>Tue, 22 May 2018 04:09:53 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36723/hapsembler-an-assembler-for-highly-polymorphic-genomes</link>
	<title><![CDATA[Hapsembler: An Assembler for Highly Polymorphic Genomes]]></title>
	<description><![CDATA[Hapsembler is a haplotype-specific genome assembly toolkit that is designed for genomes that are rich in SNPs and other types of polymorphism. Hapsembler can be used to assemble reads from a variety of platforms including Illumina and Roche/454. 

http://compbio.cs.toronto.edu/hapsembler/<p>Address of the bookmark: <a href="http://compbio.cs.toronto.edu/hapsembler/" rel="nofollow">http://compbio.cs.toronto.edu/hapsembler/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/40385/598-indian-genomes-from-55-ethnic-groups-sequenced</guid>
	<pubDate>Fri, 13 Dec 2019 20:31:42 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/40385/598-indian-genomes-from-55-ethnic-groups-sequenced</link>
	<title><![CDATA[598 Indian Genomes from 55 ethnic groups Sequenced]]></title>
	<description><![CDATA[<ul>
<li><strong>This study reports sequence from 1,267 individuals that includes 598 individuals representing 55 ethnic groups that span the major language groups across India.</strong></li>
</ul><ul>
<li><strong>Importantly, this study found many large population groups from India in which individuals were more related to each other by descent. These groups are similar to the Finnish population group where many disease gene discoveries were made. The Finnish-equivalent Indian groups are going to be a great resource for disease gene discovery and they will aid in target identification, drug development and disease management.</strong><strong style="font-size: 12.8px;">&nbsp;</strong></li>
</ul><ul>
<li><strong>This study has identified many genetic variants that are specific to Indian population groups that were previously not known. Some of these are common variants in the Indian groups, but when first identified by previous studies from India involving smaller sample size, they were thought to be disease causing (for example in diabetes) as they were not represented in the Eurocentric variant database.&nbsp;</strong></li>
</ul><p><strong><img src="https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41586-019-1793-z/MediaObjects/41586_2019_1793_Fig1_HTML.png" alt="image" style="border: 0px;"></strong></p><ul>
<li><strong>Several variants that pre-dispose individuals to higher cancer risk were identified in this study. Once this part of the work is expanded, the data from this can be used to screen individuals to understand the disease risk and provide appropriate monitoring and proactive treatment. Similarly, variants linked to increase in adverse effect in individuals for certain drugs were found. Understanding this will allow doctors to provide alternate safer drugs to such patients.</strong></li>
</ul><p><strong>More at&nbsp;<a href="https://www.nature.com/articles/s41586-019-1793-z">https://www.nature.com/articles/s41586-019-1793-z</a></strong></p><p><strong><a href="https://www.nature.com/nature/volumes/576/issues/7785">https://www.nature.com/nature/volumes/576/issues/7785</a></strong></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44635/1000-genomes-chile-project</guid>
	<pubDate>Thu, 08 Aug 2024 01:24:13 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44635/1000-genomes-chile-project</link>
	<title><![CDATA[1000 Genomes Chile Project]]></title>
	<description><![CDATA[<p>Welcome to Chile Sequence to Chile: A Genomic Exploration Project for the Future Genomics, the science that deciphers the complexity of DNA, immerses us in the world of life at its most basic level. On this journey into the depths of genetic information, we find the 1000 Genomes Chile Project, an initiative that seeks to explore and understand the genetic wealth of our country.</p>
<p>Deciphering Life at the Molecular Level DNA sequencing is the key that opens the door to invaluable knowledge. By understanding the genes that make up Chilean species, we unravel the secrets of their evolution, their resistance and their adaptation to the environment. In a world where biodiversity faces constant threats, sequencing becomes crucial for the conservation and understanding of our natural heritage.</p>
<p>Involving Everyone: A Nationwide Effort The 1000 Genomes Chile Project is not just a task for scientists. It is a country-wide effort that seeks the participation of everyone: from citizens to the government to the private sector. We believe in the importance of sharing knowledge, involving society in the selection of species to sequence, in monitoring progress and in applying the results to preserve our environment.</p><p>Address of the bookmark: <a href="https://1000genomas.cl/" rel="nofollow">https://1000genomas.cl/</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>

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