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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/32948?offset=360</link>
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	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42530/shovill-assemble-bacterial-isolate-genomes-from-illumina-paired-end-reads</guid>
	<pubDate>Sat, 02 Jan 2021 07:05:36 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42530/shovill-assemble-bacterial-isolate-genomes-from-illumina-paired-end-reads</link>
	<title><![CDATA[shovill: Assemble bacterial isolate genomes from Illumina paired-end reads]]></title>
	<description><![CDATA[<p><span>Shovill is a pipeline which uses SPAdes at its core, but alters the steps before and after the primary assembly step to get similar results in less time. Shovill also supports other assemblers like SKESA, Velvet and Megahit, so you can take advantage of the pre- and post-processing the Shovill provides with those too.</span></p><p>Address of the bookmark: <a href="https://github.com/tseemann/shovill" rel="nofollow">https://github.com/tseemann/shovill</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44561/bactopia-a-flexible-pipeline-for-complete-analysis-of-bacterial-genomes</guid>
	<pubDate>Sat, 08 Jun 2024 16:25:08 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44561/bactopia-a-flexible-pipeline-for-complete-analysis-of-bacterial-genomes</link>
	<title><![CDATA[Bactopia: a flexible pipeline for complete analysis of bacterial genomes]]></title>
	<description><![CDATA[<p>Bactopia is a flexible pipeline for complete analysis of bacterial genomes. The goal of Bactopia is process your data with a broad set of tools, so that you can get to the fun part of analyses quicker!</p>
<p>Bactopia was inspired by&nbsp;<a href="https://staphopia.github.io/">Staphopia</a>, a workflow we (Tim Read and myself) released that is targeted towards&nbsp;<em>Staphylococcus aureus</em>&nbsp;genomes. Using what we learned from Staphopia and user feedback, Bactopia was developed from scratch with usability, portability, and speed in mind from the start.</p>
<p>Bactopia uses&nbsp;<a href="https://www.nextflow.io/">Nextflow</a>&nbsp;to manage the workflow, allowing for support of many types of environments (e.g. cluster or cloud). Bactopia allows for the usage of many public datasets as well as your own datasets to further enhance the analysis of your sequencing. Bactopia only uses software packages available from&nbsp;<a href="https://bioconda.github.io/">Bioconda</a>&nbsp;and&nbsp;<a href="https://conda-forge.org/">Conda-Forge</a>&nbsp;to make installation as simple as possible for&nbsp;<em>all</em>&nbsp;users.</p>
<p>To highlight the use of&nbsp;<a href="https://bactopia.github.io/latest/full-guide/">Bactopia</a>&nbsp;and&nbsp;<a href="https://bactopia.github.io/latest/bactopia-tools/">Bactopia Tools</a>, we performed an analysis of 1,664 public&nbsp;<em>Lactobacillus</em>&nbsp;genomes, focusing on&nbsp;<em>Lactobacillus crispatus</em>, a species that is a common part of the human vaginal microbiome. The results from this analysis are published in mSystems under the title:&nbsp;<em><a href="https://doi.org/10.1128/mSystems.00190-20">Bactopia: a flexible pipeline for complete analysis of bacterial genomes</a></em></p>
<p><a href="https://bactopia.github.io/latest/assets/bactopia-workflow.png"><img src="https://bactopia.github.io/latest/assets/bactopia-workflow.png" alt="Bactopia Workflow" style="border: 0px;"></a></p><p>Address of the bookmark: <a href="https://bactopia.github.io/latest/" rel="nofollow">https://bactopia.github.io/latest/</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44900/pegas-a-comprehensive-bioinformatic-solution-for-pathogenic-bacterial-genomic-analysis</guid>
	<pubDate>Mon, 01 Sep 2025 01:18:10 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44900/pegas-a-comprehensive-bioinformatic-solution-for-pathogenic-bacterial-genomic-analysis</link>
	<title><![CDATA[PeGAS: A Comprehensive Bioinformatic Solution for Pathogenic Bacterial Genomic Analysis]]></title>
	<description><![CDATA[<p><span>This is PeGAS, a powerful bioinformatic tool designed for the seamless quality control, assembly, and annotation of Illumina paired-end reads specific to pathogenic bacteria. This tool integrates state-of-the-art open-source software to provide a streamlined and efficient workflow, ensuring accurate insights into the genomic makeup of pathogenic microbial strains.</span></p>
<p><span><img src="https://github.com/liviurotiul/PeGAS/raw/main/Features.png" alt="image" style="border: 0px;"></span></p><p>Address of the bookmark: <a href="https://github.com/liviurotiul/PeGAS" rel="nofollow">https://github.com/liviurotiul/PeGAS</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/33960/mgra-breakpoint-graphs-and-ancestral-genome-reconstructions</guid>
	<pubDate>Tue, 25 Jul 2017 08:48:25 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/33960/mgra-breakpoint-graphs-and-ancestral-genome-reconstructions</link>
	<title><![CDATA[MGRA: Breakpoint graphs and ancestral genome reconstructions]]></title>
	<description><![CDATA[<p>MGRA (Multiple Genome Rearrangements and Ancestors) is a tool for reconstruction of ancestor genomes and evolutionary history of extant genomes.</p>
<p>It takes as an input a set of genomes represented as sequences of genes (or synteny blocks) and produces such sequences for ancestral genomes at the internal nodes of the phylogenetic tree.</p>
<p>The phylogenetic tree may be also specified completely or partially, in the latter case MGRA can reconstruct conserved ancestral regions (CARs) of the ancestral genome of interest.</p>
<p>Since version 2 MGRA supports gene insertion and deletions in addition to genome rearrangements and allows the input genomes to have different gene content.</p>
<p>It also can reconstruct most plausible phylogenetic tree based on the rearrangement characters.</p><p>Address of the bookmark: <a href="http://mgra.cblab.org/" rel="nofollow">http://mgra.cblab.org/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34377/genomicus-genome-browser-that-enables-users-to-navigate-in-genomes-in-several-dimensions</guid>
	<pubDate>Sat, 18 Nov 2017 16:10:16 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34377/genomicus-genome-browser-that-enables-users-to-navigate-in-genomes-in-several-dimensions</link>
	<title><![CDATA[Genomicus: genome browser that enables users to navigate in genomes in several dimensions]]></title>
	<description><![CDATA[<p>Genomicus is a genome browser that enables users to navigate in genomes in several dimensions: linearly along chromosome axes, transversaly across different species, and chronologicaly along evolutionary time.</p>
<p>Once a query gene has been entered, it is displayed in its genomic context in parallel to the genomic context of all its orthologous and paralogous copies in all the other sequenced metazoan genomes. Moreover, Genomicus stores and displays the predicted ancestral genome structure in all the ancestral species within the phylogenetic range of interest.</p>
<p>All the data on extant species displayed in this browser are from&nbsp;<a href="http://www.ensembl.org/">Ensembl</a>.</p><p>Address of the bookmark: <a href="http://genomicus.biologie.ens.fr/genomicus-90.01/cgi-bin/search.pl" rel="nofollow">http://genomicus.biologie.ens.fr/genomicus-90.01/cgi-bin/search.pl</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34715/delta-a-new-web-based-3d-genome-visualization-and-analysis-platform</guid>
	<pubDate>Wed, 20 Dec 2017 08:49:55 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34715/delta-a-new-web-based-3d-genome-visualization-and-analysis-platform</link>
	<title><![CDATA[Delta: a new Web-based 3D genome visualization and analysis platform]]></title>
	<description><![CDATA[<p><em>Delta</em><span>&nbsp;is an integrative visualization and analysis platform to facilitate visually annotating and exploring the 3D physical architecture of genomes.&nbsp;</span><em>Delta</em><span>&nbsp;takes Hi-C or ChIA-PET contact matrix as input and predicts the topologically associating domains and chromatin loops in the genome. It then generates a physical 3D model which represents the plausible consensus 3D structure of the genome.&nbsp;</span><em>Delta</em><span>features a highly interactive visualization tool which enhances the integration of genome topology/physical structure with extensive genome annotation by juxtaposing the 3D model with diverse genomic assay outputs.</span></p>
<p>https://github.com/zhangzhwlab/delta</p><p>Address of the bookmark: <a href="https://github.com/zhangzhwlab/delta" rel="nofollow">https://github.com/zhangzhwlab/delta</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35384/mgcv-the-microbial-genomic-context-viewer-for-comparative-genome-analysis</guid>
	<pubDate>Mon, 29 Jan 2018 04:55:46 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35384/mgcv-the-microbial-genomic-context-viewer-for-comparative-genome-analysis</link>
	<title><![CDATA[MGcV: the microbial genomic context viewer for comparative genome analysis]]></title>
	<description><![CDATA[<p><span>MGcV is an interactive web-based visalization tool tailored to facilitate small scale genome analysis. To start using MGcV:</span></p>
<ol>
<li>Supply your genes/genomic segments/phylogenetic tree of interest in the input-box by
<ul>
<li>selecting the type of identifier and pasting identifiers (one per line)</li>
<li><em><strong>or</strong></em>&nbsp;by using the&nbsp;<a>gene ID search tool</a></li>
<li><em><strong>or</strong></em>&nbsp;with the&nbsp;<a>BLAST search tool</a></li>
</ul>
</li>
<li>Click "Visualize context".</li>
</ol>
<p><span>Consult the&nbsp;</span><a href="http://mgcv.cmbi.ru.nl/help.html" target="_blank">documentation</a><span>&nbsp;to learn more about MGcV.</span></p><p>Address of the bookmark: <a href="http://mgcv.cmbi.ru.nl/" rel="nofollow">http://mgcv.cmbi.ru.nl/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41158/carefully-opt-for-human-reference-genome</guid>
	<pubDate>Tue, 18 Feb 2020 07:43:32 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41158/carefully-opt-for-human-reference-genome</link>
	<title><![CDATA[Carefully opt for human reference genome]]></title>
	<description><![CDATA[<p><a href="http://lh3.github.io/2017/11/13/which-human-reference-genome-to-use" target="_blank">Heng Li posted several issues with the human reference genomes given in these resources</a> and suggests the following compressed FASTA file to be used as hg38/GRCh38 human reference genome.</p>
<p>if you map reads to GRCh38 or hg38, use the following:</p>
<div>
<div>
<pre><code>ftp://ftp.ncbi.nlm.nih.gov/genomes/all/GCA/000/001/405/GCA_000001405.15_GRCh38/seqs_for_alignment_pipelines.ucsc_ids/GCA_000001405.15_GRCh38_no_alt_analysis_set.fna.gz
</code></pre>
</div>
</div>
<p>There are several other versions of GRCh37/GRCh38. What&rsquo;s wrong with them? Here are a collection of potential issues:</p>
<p>More at http://lh3.github.io/2017/11/13/which-human-reference-genome-to-use</p><p>Address of the bookmark: <a href="http://lh3.github.io/2017/11/13/which-human-reference-genome-to-use" rel="nofollow">http://lh3.github.io/2017/11/13/which-human-reference-genome-to-use</a></p>]]></description>
	<dc:creator>biogeek</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/36945/download-blasr-13-version</guid>
	<pubDate>Fri, 15 Jun 2018 03:01:20 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/36945/download-blasr-13-version</link>
	<title><![CDATA[Download blasr 1.3 version]]></title>
	<description><![CDATA[<p>DOWNLOAD LINK: https://github.com/BioInf-Wuerzburg/proovread/raw/master/util/blasr-1.3.1/blasr</p><p>I'm running "OPERA-LG_v2.0.5/bin/preprocess_reads.pl" and have the following error:</p><p>fail to open file './temporarySam'</p><p><br />[bwa_aln_core] write to the disk... 0.09 sec<br />[bwa_aln_core] 70778880 sequences have been processed.<br />[bwa_aln_core] calculate SA coordinate... 161.35 sec<br />[bwa_aln_core] write to the disk... 0.06 sec<br />[bwa_aln_core] 70989574 sequences have been processed.<br />[main] Version: 0.7.15-r1140<br />[main] CMD: bwa aln -t 30 all_p_ctg.fa -<br />[main] Real time: 2402.523 sec; CPU: 53429.488 sec<br />[E::hts_open_format] Failed to open file temporarySam<br />samtools sort: can't open "temporarySam": No such file or directory<br />[bwa_aln_core] convert to sequence coordinate... 1.00 sec<br />[bwa_aln_core] refine gapped alignments... 6.07 sec<br />[bwa_aln_core] print alignments... PREPROCESS:<br />Fastq format is recognized<br />[Thu Jun 14 18:16:47 2018] Building bwa index...<br />bwa index -p all_p_ctg.fa /home/urbe/Tools/OPERA-LG_v2.0.6/all_p_ctg.fa<br />[Thu Jun 14 18:18:35 2018] Finding the SA coordinates of the reads using BWA aln...<br />[Thu Jun 14 18:58:37 2018] Generate alignments of reads using bwa sampe...<br />bwa samse -n 1 all_p_ctg.fa read.sai - | grep '\(^@\|XT:A:U\)' | /usr/local/bin/samtools view -S -h -b -F 0x4 - | /usr/local/bin/samtools sort -@ 20 -no - temporarySam &gt; FALCON-Unzip-Scaff.bam<br />Mapping long-reads using blasr...<br />/home/urbe/Tools/SSpace/SSPACE-LongRead_v1-1/blasr -nproc 40 -m 1 -minMatch 5 -bestn 10 -noSplitSubreads -advanceExactMatches 1 -nCandidates 1 -maxAnchorsPerPosition 1 -sdpTupleSize 7 /media/urbe/MyDDrive/ONTdata/allONT/allONT.fasta /home/urbe/Tools/OPERA-LG_v2.0.6/all_p_ctg.fa | cut -d ' ' -f1-5,7-12 | sed 's/ /\t/g' &gt; FALCON-Unzip-Scaff.map<br />sh: 1: /home/urbe/Tools/SSpace/SSPACE-LongRead_v1-1/blasr: Permission denied<br />Sorting mapping results...<br />sort -k1,1 -k9,9g FALCON-Unzip-Scaff.map &gt; FALCON-Unzip-Scaff.map.sort<br />Analyzing sorted results...<br />Extracting linking information...<br />i3 2000 5000<br />i2 1000 2000<br />i4 5000 15000<br />i0 -200 300<br />i5 15000 40000<br />i1 300 1000<br />Repeat detection...<br />/home/urbe/Tools/OPERA-LG_v2.0.6/bin//filter_conflicting_edge.pl pairedEdges_i0 contig_length.dat 100 2<br />Illegal division by zero at /home/urbe/Tools/OPERA-LG_v2.0.6/bin//filter_conflicting_edge.pl line 93.<br />readline() on closed filehandle FILE at bin/OPERA-long-read.pl line 250.<br />rm anchor_contig_info.dat contig_length.dat filtered_edges.dat filtered_edges_cov.dat *.sai<br />rm: cannot remove 'anchor_contig_info.dat': No such file or directory<br />mv FALCON-Unzip-Scaff.bam FALCON-Unzip-Scaff-with-repeat.bam<br />/home/urbe/Tools/OPERA-LG_v2.0.6/bin//filter_repeat.pl FALCON-Unzip-Scaff-with-repeat.bam repeat.dat | /usr/local/bin/samtools view - -h -S -b &gt; FALCON-Unzip-Scaff.bam<br />rm FALCON-Unzip-Scaff-with-repeat.bam<br />/home/urbe/Tools/OPERA-LG_v2.0.6/bin/OPERA-LG config &gt; log<br />Analyzing 1 library: FALCON-Unzip-Scaff.bam<br />min library mean : 0<br />minimum contig length is 500<br />Current library: 1 out of 7<br />Analyzing file: pairedEdges_no_repeat_i0<br />Analyzing file: pairedEdges_no_repeat_i1<br />Analyzing file: pairedEdges_no_repeat_i2<br />Analyzing file: pairedEdges_no_repeat_i3<br />Analyzing file: pairedEdges_no_repeat_i4<br />Analyzing file: pairedEdges_no_repeat_i5<br />ln -s results/scaffoldSeq.fasta scaffoldSeq.fasta</p><p>To resolve this, try downloading blasr version 1.3 above and re-run :)</p>]]></description>
	<dc:creator>Jit</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/36945" length="0" type="inode/x-empty" />
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38224/novograph-building-whole-genome-graphs-from-long-read-based-de-novo-assemblies</guid>
	<pubDate>Thu, 15 Nov 2018 12:48:30 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38224/novograph-building-whole-genome-graphs-from-long-read-based-de-novo-assemblies</link>
	<title><![CDATA[NovoGraph: building whole genome graphs from long-read-based de novo assemblies]]></title>
	<description><![CDATA[<p><span>NovoGraph: building whole genome graphs from long-read-based de novo assemblies</span></p>
<p><span><span>An algorithmically novel approach to construct a genome graph representation of long-read-based&nbsp;</span><em>de novo</em><span>&nbsp;sequence assemblies. We then provide a proof of principle by creating a genome graph of seven ethnically-diverse human genomes.</span></span></p>
<p>&nbsp;</p>
<p>https://f1000research.com/articles/7-1391/v1</p><p>Address of the bookmark: <a href="https://github.com/NCBI-Hackathons/NovoGraph" rel="nofollow">https://github.com/NCBI-Hackathons/NovoGraph</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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