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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/34867?offset=110</link>
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	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/40416/5700-year-old-human-genome</guid>
	<pubDate>Thu, 19 Dec 2019 11:22:18 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/40416/5700-year-old-human-genome</link>
	<title><![CDATA[5700 year-old human genome !]]></title>
	<description><![CDATA[<p>A Landmark in genomics, scientists have done something that hasn't been done ever.</p><p>Scientists have reconstructed the genome of an ancient human who lived nearly 5,700 years ago in Southern Denmark from the birch pitch- an ancient tar-like substance.</p><p>By sequencing the sample, researchers not only discovered the ancient human DNA but also microbial DNA reflecting the oral microbiome of the person who chewed the pitch, along with plant and animal DNA that could be the recent<span> meal she might have consumed.</span></p><p><span style="font-size: 12.8px;">The DNA sample is comparable in quality to well-preserved teeth and skull bones. The DNA suggests that the chewer was a female, most likely with dark skin, dark brown hair and blue eyes.</span></p><div><p><a href="https://www.nature.com/articles/s41467-019-13549-9?fbclid=IwAR0FPk0Cl25YjHVdcfK4tqFhCsPx00SCSMUwlU6zNwMDNrKi1QynwtJKDfE" target="_blank">https://www.nature.com/articles/s41467-019-13549-9</a></p><p><img src="https://i.kinja-img.com/gawker-media/image/upload/c_scale,f_auto,fl_progressive,q_80,w_800/ykcvh491evenyvlrjb9r.jpg" width="800" height="450" alt="image" style="border: 0px;"></p><p>Artistic reconstruction. (Tom Bj&ouml;rklund)</p><p>More at&nbsp;<a href="https://gizmodo.com/scientists-reconstruct-lola-after-finding-her-dna-in-1840481633">https://gizmodo.com/scientists-reconstruct-lola-after-finding-her-dna-in-1840481633</a></p></div>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40715/mutatrix-a-population-genome-simulator-which-generates-simulated-genomes</guid>
	<pubDate>Tue, 28 Jan 2020 04:06:58 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40715/mutatrix-a-population-genome-simulator-which-generates-simulated-genomes</link>
	<title><![CDATA[mutatrix: a population genome simulator which generates simulated genomes.]]></title>
	<description><![CDATA[<p><span>genome simulation across a population with zeta-distributed allele frequency, snps, insertions, deletions, and multi-nucleotide polymorphisms</span></p>
<p><span>More at&nbsp;<a href="https://github.com/ekg/mutatrix">https://github.com/ekg/mutatrix</a></span></p>
<pre>./mutatrix -S sample -P test/ -p 2 -n 10 reference.fasta</pre><p>Address of the bookmark: <a href="https://github.com/ekg/mutatrix" rel="nofollow">https://github.com/ekg/mutatrix</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41144/seqmule-automated-human-exomegenome-variants-detection</guid>
	<pubDate>Tue, 18 Feb 2020 03:22:54 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41144/seqmule-automated-human-exomegenome-variants-detection</link>
	<title><![CDATA[SeqMule: Automated human exome/genome variants detection]]></title>
	<description><![CDATA[<p>SeqMule takes single-end or paird-end FASTQ or BAM files, generates a script consisting of more than 10 popular alignment, analysis tools and runs the script line by line. Users can change the pipeline or fine-tune the parameters by modifying its configuration file.</p><p>Address of the bookmark: <a href="https://doc-openbio.readthedocs.io/projects/seqmule/en/latest/" rel="nofollow">https://doc-openbio.readthedocs.io/projects/seqmule/en/latest/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41459/jcvipython-utility-libraries-on-genome-assembly-annotation-and-comparative-genomics</guid>
	<pubDate>Tue, 17 Mar 2020 06:19:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41459/jcvipython-utility-libraries-on-genome-assembly-annotation-and-comparative-genomics</link>
	<title><![CDATA[JCVI:Python utility libraries on genome assembly, annotation and comparative genomics]]></title>
	<description><![CDATA[<p>Collection of Python libraries to parse bioinformatics files, or perform computation related to assembly, annotation, and comparative genomics.</p>
<p>https://github.com/tanghaibao/jcvi</p>
<p>More at https://github.com/tanghaibao/jcvi/wiki</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/file/view/42559/sample-bandage-input-file-for-visual-analysis</guid>
	<pubDate>Wed, 06 Jan 2021 03:51:50 -0600</pubDate>
	<link>https://bioinformaticsonline.com/file/view/42559/sample-bandage-input-file-for-visual-analysis</link>
	<title><![CDATA[Sample bandage input file for visual analysis]]></title>
	<description><![CDATA[<p>Sample bandage input file for visual analysis ...</p>]]></description>
	<dc:creator>Jit</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/42559" length="112199" type="text/plain" />
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/42166/software-for-genome-assembly</guid>
	<pubDate>Sun, 30 Aug 2020 09:51:38 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/42166/software-for-genome-assembly</link>
	<title><![CDATA[Software for genome assembly !]]></title>
	<description><![CDATA[<p>List of bioinformatics tools/Software Website References for genome assembly:</p><p>1 Falcon&nbsp;https://github.com/PacificBiosciences/pb-assembly</p><p>2 Canu assembler http://canu.readthedocs.io/en/latest/index.html</p><p>3 Miniasm assembler https://github.com/lh3/miniasm</p><p>4 PBJelly scaffolding tool https://sourceforge.net/projects/pb-jelly/</p><p>5 ARCS scaffolding tool https://github.com/bcgsc/arcs</p><p>6 Redundans reduction and scaffolding tool https://github.com/Gabaldonlab/redundans</p><p>7 Arrow error correction https://github.com/PacificBiosciences/ GenomicConsensus</p><p>8 PILON error correction https://github.com/broadinstitute/pilon/wiki</p><p>9 BUSCO single copy gene markers http://busco.ezlab.org/</p><p>10 Bandage graph assembly viewer https://rrwick.github.io/Bandage/</p><p>11 Gepard dotter http://cube.univie.ac.at/gepard</p><p>12 MUMmer aligner and plotter http://mummer.sourceforge.net/</p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42923/flanker</guid>
	<pubDate>Sat, 27 Feb 2021 22:04:53 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42923/flanker</link>
	<title><![CDATA[Flanker]]></title>
	<description><![CDATA[<p><span>Flanker, a Python package which performs alignment-free clustering of gene flanking sequences in a consistent format, allowing investigation of&nbsp;<span>mobile genetic elements (</span>MGEs) without prior knowledge of their structure.&nbsp;<span>Flanker can be flexibly parameterised to finetune outputs by characterising upstream and downstream regions separately and investigating variable lengths of flanking sequence.</span></span></p>
<p><span><img src="https://github.com/wtmatlock/flanker/raw/main/docs/frontpage.png" alt="image" style="border: 0px;"></span></p><p>Address of the bookmark: <a href="https://github.com/wtmatlock/flanker" rel="nofollow">https://github.com/wtmatlock/flanker</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43364/ragtag-a-collection-of-software-tools-for-scaffolding-and-improving-modern-genome-assemblies</guid>
	<pubDate>Sat, 11 Sep 2021 00:28:14 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43364/ragtag-a-collection-of-software-tools-for-scaffolding-and-improving-modern-genome-assemblies</link>
	<title><![CDATA[RagTag: a collection of software tools for scaffolding and improving modern genome assemblies]]></title>
	<description><![CDATA[<p>RagTag is a collection of software tools for scaffolding and improving modern genome assemblies. Tasks include:</p>
<ul>
<li>Homology-based misassembly&nbsp;<a href="https://github.com/malonge/RagTag/wiki/correct">correction</a></li>
<li>Homology-based assembly&nbsp;<a href="https://github.com/malonge/RagTag/wiki/scaffold">scaffolding</a>&nbsp;and&nbsp;<a href="https://github.com/malonge/RagTag/wiki/patch">patching</a></li>
<li>Scaffold&nbsp;<a href="https://github.com/malonge/RagTag/wiki/merge">merging</a></li>
</ul><p>Address of the bookmark: <a href="https://github.com/malonge/RagTag" rel="nofollow">https://github.com/malonge/RagTag</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/43634/illumina-based-assembly-pipeline-steps</guid>
	<pubDate>Fri, 10 Dec 2021 06:22:54 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/43634/illumina-based-assembly-pipeline-steps</link>
	<title><![CDATA[Illumina based assembly pipeline steps !]]></title>
	<description><![CDATA[<h3 id="illumina">Illumina<a href="https://nf-co.re/viralrecon#illumina"><span></span></a></h3><ol>
<li>Merge re-sequenced FastQ files (<a href="http://www.linfo.org/cat.html"><code>cat</code></a>)</li>
<li>Read QC (<a href="https://www.bioinformatics.babraham.ac.uk/projects/fastqc/"><code>FastQC</code></a>)</li>
<li>Adapter trimming (<a href="https://github.com/OpenGene/fastp"><code>fastp</code></a>)</li>
<li>Removal of host reads (<a href="http://ccb.jhu.edu/software/kraken2/"><code>Kraken 2</code></a>; <em>optional</em>)</li>
<li>Variant calling<ol>
<li>Read alignment (<a href="http://bowtie-bio.sourceforge.net/bowtie2/index.shtml"><code>Bowtie 2</code></a>)</li>
<li>Sort and index alignments (<a href="https://sourceforge.net/projects/samtools/files/samtools/"><code>SAMtools</code></a>)</li>
<li>Primer sequence removal (<a href="https://github.com/andersen-lab/ivar"><code>iVar</code></a>; <em>amplicon data only</em>)</li>
<li>Duplicate read marking (<a href="https://broadinstitute.github.io/picard/"><code>picard</code></a>; <em>optional</em>)</li>
<li>Alignment-level QC (<a href="https://broadinstitute.github.io/picard/"><code>picard</code></a>, <a href="https://sourceforge.net/projects/samtools/files/samtools/"><code>SAMtools</code></a>)</li>
<li>Genome-wide and amplicon coverage QC plots (<a href="https://github.com/brentp/mosdepth/"><code>mosdepth</code></a>)</li>
<li>Choice of multiple variant calling and consensus sequence generation routes (<a href="https://github.com/andersen-lab/ivar"><code>iVar variants and consensus</code></a>; <em>default for amplicon data</em> <em>||</em> <a href="http://samtools.github.io/bcftools/bcftools.html"><code>BCFTools</code></a>, <a href="https://github.com/arq5x/bedtools2/"><code>BEDTools</code></a>; <em>default for metagenomics data</em>)
<ul>
<li>Variant annotation (<a href="http://snpeff.sourceforge.net/SnpEff.html"><code>SnpEff</code></a>, <a href="http://snpeff.sourceforge.net/SnpSift.html"><code>SnpSift</code></a>)</li>
<li>Consensus assessment report (<a href="http://quast.sourceforge.net/quast"><code>QUAST</code></a>)</li>
<li>Lineage analysis (<a href="https://github.com/cov-lineages/pangolin"><code>Pangolin</code></a>)</li>
<li>Clade assignment, mutation calling and sequence quality checks (<a href="https://github.com/nextstrain/nextclade"><code>Nextclade</code></a>)</li>
<li>Individual variant screenshots with annotation tracks (<a href="https://asciigenome.readthedocs.io/en/latest/"><code>ASCIIGenome</code></a>)</li>
</ul>
</li>
<li>Intersect variants across callers (<a href="http://samtools.github.io/bcftools/bcftools.html"><code>BCFTools</code></a>)</li>
</ol></li>
<li><em>De novo</em> assembly<ol>
<li>Primer trimming (<a href="https://cutadapt.readthedocs.io/en/stable/guide.html"><code>Cutadapt</code></a>; <em>amplicon data only</em>)</li>
<li>Choice of multiple assembly tools (<a href="http://cab.spbu.ru/software/spades/"><code>SPAdes</code></a> <em>||</em> <a href="https://github.com/rrwick/Unicycler"><code>Unicycler</code></a> <em>||</em> <a href="https://github.com/GATB/minia"><code>minia</code></a>)
<ul>
<li>Blast to reference genome (<a href="https://blast.ncbi.nlm.nih.gov/Blast.cgi?PAGE_TYPE=BlastSearch"><code>blastn</code></a>)</li>
<li>Contiguate assembly (<a href="https://www.sanger.ac.uk/science/tools/pagit"><code>ABACAS</code></a>)</li>
<li>Assembly report (<a href="https://github.com/BU-ISCIII/plasmidID"><code>PlasmidID</code></a>)</li>
<li>Assembly assessment report (<a href="http://quast.sourceforge.net/quast"><code>QUAST</code></a>)</li>
</ul>
</li>
</ol></li>
<li>Present QC and visualisation for raw read, alignment, assembly and variant calling results (<a href="http://multiqc.info/"><code>MultiQC</code></a>)</li>
</ol>]]></description>
	<dc:creator>Surabhi Chaudhary</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43770/chromeister-an-ultra-fast-heuristic-approach-to-detect-conserved-signals-in-extremely-large-pairwise-genome-comparisons</guid>
	<pubDate>Thu, 03 Feb 2022 04:01:55 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43770/chromeister-an-ultra-fast-heuristic-approach-to-detect-conserved-signals-in-extremely-large-pairwise-genome-comparisons</link>
	<title><![CDATA[chromeister: An ultra fast, heuristic approach to detect conserved signals in extremely large pairwise genome comparisons.]]></title>
	<description><![CDATA[<p>chromeister: An ultra fast, heuristic approach to detect conserved signals in extremely large pairwise genome comparisons.</p>
<p dir="auto">USAGE:</p>
<ul dir="auto">
<li>-query: sequence A in fasta format</li>
<li>-db: sequence B in fasta format</li>
<li>-out: output matrix</li>
<li>-kmer Integer: k&gt;1 (default 32) Use 32 for chromosomes and genomes and 16 for small bacteria</li>
<li>-diffuse Integer: z&gt;0 (default 4) Use 4 for everything - if using large plant genomes you can try using 1</li>
<li>-dimension Size of the output matrix and plot. Integer: d&gt;0 (default 1000) Use 1000 for everything that is not full genome size, where 2000 is recommended</li>
</ul><p>Address of the bookmark: <a href="https://github.com/estebanpw/chromeister" rel="nofollow">https://github.com/estebanpw/chromeister</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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