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<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/34519?offset=130</link>
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	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/40789/complete-genome-sequence-of-wuhan-seafood-market-pneumonia-virus-is-out</guid>
	<pubDate>Fri, 31 Jan 2020 02:36:59 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/40789/complete-genome-sequence-of-wuhan-seafood-market-pneumonia-virus-is-out</link>
	<title><![CDATA[Complete genome sequence of Wuhan seafood market pneumonia virus is out !]]></title>
	<description><![CDATA[<p>Wuhan-Hu-1 claimed at least 40 lives and infected at least 1300 others in China. Cases are now being reported from Thailand, Singapore, Malaysia, South Korea, Japan, Vietnam, Nepal, France, Australia and even as far as the US.&nbsp;On Jan 10 2020, while news of the first fatality was barely trickling in, the <a href="https://www.ncbi.nlm.nih.gov/nuccore/MN908947">29,903 letters</a> constituting the viral genome from an affected individual in Wuhan had already been elucidated (even though a few corrections were made subsequently). All the viral genome sequences from affected individuals are very very close to each other. Several are identical and none has more than 5 differences (99.983% similarity). This strongly suggests that transmission into humans came from a single pointed source and happened very recently, between Sep-Dec 2019.</p><p>Check out the detail at https://www.ncbi.nlm.nih.gov/nuccore/MN908947</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/bookmarks/view/41599/haslr-a-hybrid-assembler-which-uses-both-second-and-third-generation-sequencing-reads</guid>
	<pubDate>Mon, 04 May 2020 02:04:03 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41599/haslr-a-hybrid-assembler-which-uses-both-second-and-third-generation-sequencing-reads</link>
	<title><![CDATA[HASLR: a hybrid assembler which uses both second and third generation sequencing reads]]></title>
	<description><![CDATA[<p><span>HASLR, a hybrid assembler which uses both second and third generation sequencing reads to efficiently generate accurate genome assemblies. Our experiments show that HASLR is not only the fastest assembler but also the one with the lowest number of misassemblies on all the samples compared to other tested assemblers. Furthermore, the generated assemblies in terms of contiguity and accuracy are on par with the other tools on most of the samples. Availability. HASLR is an open source tool available at https://github.com/vpc-ccg/haslr.</span></p><p>Address of the bookmark: <a href="https://github.com/vpc-ccg/haslr" rel="nofollow">https://github.com/vpc-ccg/haslr</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42267/hapsolo-an-optimization-approach-for-removing-secondary-haplotigs-during-diploid-genome-assembly-and-scaffolding</guid>
	<pubDate>Mon, 26 Oct 2020 21:23:36 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42267/hapsolo-an-optimization-approach-for-removing-secondary-haplotigs-during-diploid-genome-assembly-and-scaffolding</link>
	<title><![CDATA[HapSolo: An optimization approach for removing secondary haplotigs during diploid genome assembly and scaffolding.]]></title>
	<description><![CDATA[<p><span>Despite marked recent improvements in long-read sequencing technology, the assembly of diploid genomes remains a difficult task. A major obstacle is distinguishing between alternative contigs that represent highly heterozygous regions. If primary and secondary contigs are not properly identified, the primary assembly will overrepresent both the size and complexity of the genome, which complicates downstream analysis such as scaffolding.</span></p>
<p><span>More at&nbsp;https://github.com/esolares/HapSolo</span></p><p>Address of the bookmark: <a href="https://github.com/esolares/HapSolo" rel="nofollow">https://github.com/esolares/HapSolo</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43055/infogenomer-integrative-reconstruction-of-cancer-genome-karyotypes</guid>
	<pubDate>Wed, 05 May 2021 01:02:18 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43055/infogenomer-integrative-reconstruction-of-cancer-genome-karyotypes</link>
	<title><![CDATA[InfoGenomeR: Integrative reconstruction of cancer genome karyotypes]]></title>
	<description><![CDATA[<p>InfoGenomeR is the Integrative Framework for Genome Reconstruction that uses a breakpoint graph to model the connectivity among genomic segments at the genome-wide scale. InfoGenomeR integrates cancer purity and ploidy, total CNAs, allele-specific CNAs, and haplotype information to identify the optimal breakpoint graph representing cancer genomes.</p>
<p><img src="https://github.com/YeonghunL/InfoGenomeR/raw/master/doc/overview.png" alt="image" style="border: 0px; border: 0px;"></p>
<p>More at&nbsp;https://www.nature.com/articles/s41467-021-22671-6</p><p>Address of the bookmark: <a href="https://github.com/dmcblab/InfoGenomeR" rel="nofollow">https://github.com/dmcblab/InfoGenomeR</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43273/understanding-kmer</guid>
	<pubDate>Wed, 18 Aug 2021 04:27:51 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43273/understanding-kmer</link>
	<title><![CDATA[Understanding kmer !]]></title>
	<description><![CDATA[<p><a href="https://en.wikipedia.org/wiki/k-mer">What is a&nbsp;<em>k-mer</em>&nbsp;anyway?</a><span>&nbsp;A&nbsp;</span><em>k-mer</em><span>&nbsp;is just a sequence of&nbsp;</span><em>k</em><span>&nbsp;characters in a string (or nucleotides in a DNA sequence). Now, it is important to remember that to get&nbsp;</span><em>all k-mers</em><span>&nbsp;from a sequence you need to get the first&nbsp;</span><em>k</em><span>&nbsp;characters, then move just a single character for the start of the next&nbsp;</span><em>k-mer</em><span>&nbsp;and so on. Effectively, this will create sequences that overlap in&nbsp;</span><code>k-1</code><span>&nbsp;positions.</span></p><p>Address of the bookmark: <a href="https://bioinfologics.github.io/post/2018/09/17/k-mer-counting-part-i-introduction/" rel="nofollow">https://bioinfologics.github.io/post/2018/09/17/k-mer-counting-part-i-introduction/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43620/ncbi-datasets-cli-quickstart-command-line-tools</guid>
	<pubDate>Tue, 07 Dec 2021 02:51:26 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43620/ncbi-datasets-cli-quickstart-command-line-tools</link>
	<title><![CDATA[ncbi-datasets-cli -- Quickstart: command line tools !]]></title>
	<description><![CDATA[<p><span>Install and use the NCBI Datasets command line tools</span></p>
<p>The NCBI Datasets datasets command line tools are&nbsp;<a href="https://www.ncbi.nlm.nih.gov/datasets/docs/v1/reference-docs/command-line/datasets/">datasets</a>&nbsp;and&nbsp;<a href="https://www.ncbi.nlm.nih.gov/datasets/docs/v1/reference-docs/command-line/dataformat/">dataformat</a>&nbsp;.</p>
<p>Use&nbsp;<span>datasets</span>&nbsp;to download biological sequence data across all domains of life from NCBI.</p>
<p>Use&nbsp;<span>dataformat</span>&nbsp;to convert metadata from&nbsp;<a href="https://jsonlines.org/" target="_blank">JSON Lines</a>&nbsp;format to other formats.</p>
<p><strong>Conda download:</strong></p>
<p>https://anaconda.org/conda-forge/ncbi-datasets-cli</p>
<p><strong>Buld Download</strong></p>
<p>&nbsp;https://www.ncbi.nlm.nih.gov/datasets/builder/?tax_id=29979</p><p>Address of the bookmark: <a href="https://www.ncbi.nlm.nih.gov/datasets/docs/v1/quickstarts/command-line-tools/" rel="nofollow">https://www.ncbi.nlm.nih.gov/datasets/docs/v1/quickstarts/command-line-tools/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43693/plar-pipeline-for-lncrna-annotation-from-rna-seq-data</guid>
	<pubDate>Fri, 07 Jan 2022 06:18:01 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43693/plar-pipeline-for-lncrna-annotation-from-rna-seq-data</link>
	<title><![CDATA[PLAR: Pipeline for lncRNA annotation from RNA-seq data]]></title>
	<description><![CDATA[<p><span>Due to several requests, we are releasing an assingment of orthologs, determined using the same methods used in Hezroni et al. (BLAST, Whole Genome Alignment (WGA), and synteny). One is comparing human GENCODE genes (from GENCODE v30) to lncRNAs from other species identified by PLAR. Available&nbsp;</span><a href="ftp://ftp-igor.weizmann.ac.il/pub/gencode_orthologs_v3.txt.gz">here</a><span>.</span></p>
<p>&nbsp;</p>
<table border="1" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td rowspan="1" colspan="1">
<p><strong>Species</strong></p>
</td>
<td rowspan="1" colspan="1">
<p><strong>Assembly</strong></p>
</td>
<td rowspan="1" colspan="1">
<p><strong>Code</strong></p>
</td>
<td rowspan="1" colspan="1">
<p><strong>Transcriptome</strong></p>
</td>
<td rowspan="1" colspan="1">
<p><strong>lncRNAs</strong></p>
</td>
<td rowspan="1" colspan="1">
<p><strong>Protein-coding</strong></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Human</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload.soe.ucsc.edu%2FgoldenPath%2Fhg19%2FbigZips%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNE8D2HpSsuVeU5oUWAahOi6qUkSTA">hg19</a></p>
</td>
<td rowspan="1" colspan="1">
<p>hg19</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/hg19.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/hg19.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/hg19.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Rhesus</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload.soe.ucsc.edu%2FgoldenPath%2FrheMac3%2FbigZips%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNE9JVXif3Efp4FVGd43K-BjTjrpwQ">rheMac3</a></p>
</td>
<td rowspan="1" colspan="1">
<p>rm3</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/rm3.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/rm3.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/rm3.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Marmoset</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload.soe.ucsc.edu%2FgoldenPath%2FcalJac3%2FbigZips%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNERBzLoHTuzHgX48eG9B5JwHfJeUg">calJac3</a></p>
</td>
<td rowspan="1" colspan="1">
<p>cj3</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/cj3.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/cj3.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/cj3.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Mouse</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload.soe.ucsc.edu%2FgoldenPath%2Fmm9%2FbigZips%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNFn4Vo-WHyxU1rVfWVKfgYCsdbvBw">mm9</a></p>
</td>
<td rowspan="1" colspan="1">
<p>mm9</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/mm9.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/mm9.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/mm9.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Rabbit</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload.soe.ucsc.edu%2FgoldenPath%2ForyCun2%2FbigZips%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNHV9p_9vZ6-wtW3ofOStkok2HmGYg">oryCun2</a></p>
</td>
<td rowspan="1" colspan="1">
<p>oc2</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/oc2.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/oc2.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/oc2.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Dog</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload.soe.ucsc.edu%2FgoldenPath%2FcanFam3%2FbigZips%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNF_CL0xW8BrQktADnX1_cKL5r7Zyw">canFam3</a></p>
</td>
<td rowspan="1" colspan="1">
<p>cf3</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/cf3.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/cf3.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/cf3.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Ferret</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://hgdownload.soe.ucsc.edu/goldenPath/musFur1/bigZips/">musFur1</a></p>
</td>
<td rowspan="1" colspan="1">
<p>oa3</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/mf1.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/mf1.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/mf1.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Opossum</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload.soe.ucsc.edu%2FgoldenPath%2FmonDom5%2FbigZips%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNFeZz8NVTDJzR7uP7dIFOnACpuL7A">monDom5</a></p>
</td>
<td rowspan="1" colspan="1">
<p>md5</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/md5.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/md5.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/md5.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Chicken</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload.soe.ucsc.edu%2FgoldenPath%2FgalGal4%2FbigZips%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNFDsmU33MtwXzpaZZQHlrfI4OwsyA">galGal4</a></p>
</td>
<td rowspan="1" colspan="1">
<p>gg4</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/gg4.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/gg4.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/gg4.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Lizard</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload.soe.ucsc.edu%2FgoldenPath%2FanoCar2%2FbigZips%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNEt4SZWNfHnA7MvJ6RWiql_yut4og">anoCar2</a></p>
</td>
<td rowspan="1" colspan="1">
<p>ac2</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/ac2.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/ac2.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/ac2.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Coelacanth</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload.soe.ucsc.edu%2FgoldenPath%2FlatCha1%2FbigZips%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNH17mc_Am63OygexvbH391-GPoqBg">latCha1</a></p>
</td>
<td rowspan="1" colspan="1">
<p>lc1</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/lc1.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/lc1.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/lc1.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Zebrafish</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload.soe.ucsc.edu%2FgoldenPath%2FdanRer7%2FbigZips%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNEgbPFFLxSYaERAtOLpbqIa5NmeCA">danRer7</a></p>
</td>
<td rowspan="1" colspan="1">
<p>dr7</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/dr7.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/dr7.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/dr7.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Stickleback</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload-test.sdsc.edu%2FgoldenPath%2FgasAcu1%2FbigZips%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNHLiWgr54hkQYAxKeU9FJn0FKzEDA">gasAcu1</a></p>
</td>
<td rowspan="1" colspan="1">
<p>ga1</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/ga1.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/ga1.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/ga1.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Nile tilapia</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload.soe.ucsc.edu%2FgoldenPath%2ForeNil2%2FbigZips%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNEgaAhALRYb2ZYx_ItCO53E3mgZ2w">oreNil2</a></p>
</td>
<td rowspan="1" colspan="1">
<p>ot2</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/ot2.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/ot2.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/ot2.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Spotted gar</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload-test.cse.ucsc.edu%2FgoldenPath%2FlepOcu1%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNEbTQSWyyyZXk3eYiwkkAySMRdKTg">lepOcu1</a></p>
</td>
<td rowspan="1" colspan="1">
<p>lo1</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/lo1.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/lo1.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/lo1.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Elephant shark</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload.soe.ucsc.edu%2FgoldenPath%2FcalMil1%2FbigZips%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNH2mc_GFk5E6kmVXftLL2lZVClIUQ">calMil1</a></p>
</td>
<td rowspan="1" colspan="1">
<p>cm1</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/cm1.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/cm1.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/cm1.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Sea urchin</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload-test.cse.ucsc.edu%2FgoldenPath%2FstrPur4%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNHQ_Coxb_z7jTAweTFkO0KtHZKjEA">strPur4</a></p>
</td>
<td rowspan="1" colspan="1">
<p>sp4</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/sp4.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/sp4.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/sp4.coding.bed.gz">Download</a></p>
</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p><p>Address of the bookmark: <a href="http://www.weizmann.ac.il/Biological_Regulation/IgorUlitsky/PLAR" rel="nofollow">http://www.weizmann.ac.il/Biological_Regulation/IgorUlitsky/PLAR</a></p>]]></description>
	<dc:creator>Abhi</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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