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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/36865?offset=290</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43110/quasimodo-quasispecies-metric-determination-on-omics</guid>
	<pubDate>Sat, 26 Jun 2021 15:22:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43110/quasimodo-quasispecies-metric-determination-on-omics</link>
	<title><![CDATA[QuasiModo - Quasispecies Metric Determination on Omics]]></title>
	<description><![CDATA[<p><span>This repository contains the scripts and pipeline that reproduces the results of the HCMV benchmarking study. In this study we evaluated genome assemblers and variant callers on 10 in vitro generated, mixed strain HCMV sequence samples, each consisting of two lab strains in different abundance ratios. This tool can also be used to evaluate assemblies and variant calling results on other similar datasets.</span></p>
<p><span>https://academic.oup.com/bib/article/22/3/bbaa123/5868070</span></p><p>Address of the bookmark: <a href="https://github.com/hzi-bifo/Quasimodo" rel="nofollow">https://github.com/hzi-bifo/Quasimodo</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44223/ale-assembly-likelihood-estimator</guid>
	<pubDate>Wed, 08 Mar 2023 01:39:33 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44223/ale-assembly-likelihood-estimator</link>
	<title><![CDATA[ALE: Assembly Likelihood Estimator]]></title>
	<description><![CDATA[<p>Just import the assembly, bam and ALE scores. You can convert the .ale file to a set of .wig files with ale2wiggle.py and IGV can read those directly.&nbsp; Depending on your genome size you may want to convert the .wig files to the BigWig format.</p><p>Address of the bookmark: <a href="https://github.com/sc932/ALE" rel="nofollow">https://github.com/sc932/ALE</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44559/metagraph-ultra-scalable-framework-for-dna-search-alignment-assembly</guid>
	<pubDate>Sat, 08 Jun 2024 16:15:25 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44559/metagraph-ultra-scalable-framework-for-dna-search-alignment-assembly</link>
	<title><![CDATA[MetaGraph: Ultra Scalable Framework for DNA Search, Alignment, Assembly]]></title>
	<description><![CDATA[<p><span>The MetaGraph framework</span><span>&nbsp;is designed to work with a wide range of input data sets, indexing from a few samples up to the contents of entire archives with hundreds of thousands of records. The indexing workflow always follows the same principle, transforming single input samples into error-removed, refined sample graphs, which are then merged into a joint metagraph index. Each input sample is annotated in the joint index as a subgraph. This graph index enriched with metadata can then be used for downstream applications such as&nbsp;</span><a href="https://metagraph.ethz.ch/#query">sequence search</a><span>&nbsp;or&nbsp;</span><a href="https://metagraph.ethz.ch/#assembly">differential assembly</a><span>.</span></p>
<p><span>Searcg link&nbsp;https://metagraph.ethz.ch/search&nbsp;</span></p>
<p><span>Pre-print&nbsp;https://www.biorxiv.org/content/10.1101/2020.10.01.322164v4&nbsp;</span></p><p>Address of the bookmark: <a href="https://metagraph.ethz.ch/" rel="nofollow">https://metagraph.ethz.ch/</a></p>]]></description>
	<dc:creator>Abhi</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" />
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35918/scubat-scaffolding-contigs-using-blat-and-transcripts</guid>
	<pubDate>Tue, 13 Mar 2018 06:52:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35918/scubat-scaffolding-contigs-using-blat-and-transcripts</link>
	<title><![CDATA[SCUBAT: Scaffolding Contigs Using Blat And Transcripts]]></title>
	<description><![CDATA[<p><span>SCUBAT (Scaffolding Contigs Using BLAT And Transcripts) uses any set of transcripts to identify cases where a transcript is split over multiple genome fragments and attempts to use this information to scaffold the genome.</span></p><p>Address of the bookmark: <a href="https://github.com/elswob/SCUBAT" rel="nofollow">https://github.com/elswob/SCUBAT</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36516/metassembler-merging-and-optimizing-de-novo-genome-assemblies</guid>
	<pubDate>Tue, 08 May 2018 04:52:33 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36516/metassembler-merging-and-optimizing-de-novo-genome-assemblies</link>
	<title><![CDATA[Metassembler: merging and optimizing de novo genome assemblies]]></title>
	<description><![CDATA[<p><span>Metassembler combines multiple whole genome de novo assemblies into a combined consensus assembly using the best segments of the individual assemblies.</span></p>
<p><span><span>Genome assembly projects typically run multiple algorithms in an attempt to find the single best assembly, although those assemblies often have complementary, if untapped, strengths and weaknesses. We present our metassembler algorithm that merges multiple assemblies of a genome into a single superior sequence.&nbsp;</span></span></p><p>Address of the bookmark: <a href="https://sourceforge.net/projects/metassembler/?source=directory" rel="nofollow">https://sourceforge.net/projects/metassembler/?source=directory</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38023/mitos-improved-de-novo-metazoan-mitochondrial-genome-annotation</guid>
	<pubDate>Fri, 26 Oct 2018 08:25:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38023/mitos-improved-de-novo-metazoan-mitochondrial-genome-annotation</link>
	<title><![CDATA[MITOS: improved de novo metazoan mitochondrial genome annotation]]></title>
	<description><![CDATA[<p><span>Allows automatic annotation of metazoan mitochondrial genomes. MITOS is a pipeline designed to compute a consistent de novo annotation of the mitogenomic sequences. The software allows for a systematic error screening, the standardisation of gene name and gene boundary designation, anticodon labelling of tRNAs, and provides the means for the assessment of the validity of a gene assignment.</span></p><p>Address of the bookmark: <a href="http://mitos.bioinf.uni-leipzig.de/index.py" rel="nofollow">http://mitos.bioinf.uni-leipzig.de/index.py</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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