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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/8504?offset=1060</link>
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	<description><![CDATA[]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38659/detail-annotation-of-genes</guid>
	<pubDate>Fri, 11 Jan 2019 05:23:33 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38659/detail-annotation-of-genes</link>
	<title><![CDATA[Detail annotation of genes !]]></title>
	<description><![CDATA[<p>gene_info recalculated daily<br>---------------------------------------------------------------------------<br> tab-delimited<br> one line per GeneID<br> Column header line is the first line in the file.<br> Note: subsets of gene_info are available in the DATA/GENE_INFO<br> directory (described later)<br>---------------------------------------------------------------------------</p>
<p>tax_id:<br> the unique identifier provided by NCBI Taxonomy<br> for the species or strain/isolate</p>
<p>GeneID:<br> the unique identifier for a gene<br> ASN1: geneid</p>
<p>Symbol:<br> the default symbol for the gene<br> ASN1: gene-&gt;locus</p>
<p>LocusTag:<br> the LocusTag value<br> ASN1: gene-&gt;locus-tag</p>
<p>Synonyms:<br> bar-delimited set of unofficial symbols for the gene</p>
<p>dbXrefs:<br> bar-delimited set of identifiers in other databases<br> for this gene. The unit of the set is database:value.<br> Note that HGNC and MGI include 'HGNC' and 'MGI', respectively,<br> in the value part of their identifier. Consequently,<br> dbXrefs for these databases will appear like:<br> HGNC:HGNC:1100<br> This would be interpreted as database='HGNC', value='HGNC:1100'<br> Example for MGI:<br> MGI:MGI:104537<br> This would be interpreted as database='MGI', value='MGI:104537'</p>
<p>chromosome:<br> the chromosome on which this gene is placed.<br> for mitochondrial genomes, the value 'MT' is used.</p>
<p>map location:<br> the map location for this gene</p>
<p>description:<br> a descriptive name for this gene</p>
<p>type of gene:<br> the type assigned to the gene according to the list of options<br> provided in https://www.ncbi.nlm.nih.gov/IEB/ToolBox/CPP_DOC/lxr/source/src/objects/entrezgene/entrezgene.asn</p>
<p><br>Symbol from nomenclature authority:<br> when not '-', indicates that this symbol is from a<br> a nomenclature authority</p>
<p>Full name from nomenclature authority:<br> when not '-', indicates that this full name is from a<br> a nomenclature authority</p>
<p>Nomenclature status:<br> when not '-', indicates the status of the name from the <br> nomenclature authority (O for official, I for interim)</p>
<p>Other designations:<br> pipe-delimited set of some alternate descriptions that<br> have been assigned to a GeneID<br> '-' indicates none is being reported.</p>
<p>Modification date:<br> the last date a gene record was updated, in YYYYMMDD format</p>
<p>Feature type:<br> pipe-delimited set of annotated features and their classes or <br> controlled vocabularies, displayed as feature_type:feature_class <br> or feature_type:controlled_vocabulary, when appropriate; derived <br> from select feature annotations on RefSeq(s) associated with the <br> GeneID</p><p>Address of the bookmark: <a href="ftp://ftp.ncbi.nih.gov/gene/DATA/GENE_INFO/" rel="nofollow">ftp://ftp.ncbi.nih.gov/gene/DATA/GENE_INFO/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/8417/conserved-domain-database-cdd-version-311-released</guid>
	<pubDate>Wed, 19 Feb 2014 15:02:40 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/8417/conserved-domain-database-cdd-version-311-released</link>
	<title><![CDATA[Conserved Domain Database (CDD) version 3.11 released]]></title>
	<description><![CDATA[<p>National Center for Biotechnology Information (NCBI) Conserved Domain Database (CDD) version 3.11 is now available with 596 new or updated NCBI-curated and 49,641 total domain models. The new version now contains the most recent Pfam release 27.</p><p><img src="http://www.ncbi.nlm.nih.gov/Structure/cdd/docs/images/np_081086_triangles_site_features_on_query_gi255958238_mouse_mutl1.png" alt="image" width="800" height="415" style="border: 0px; border: 0px;"></p><p>Updates to the Conserved Domain Database include:</p><ul>
<li>Position-specific score matrices (PSSMs) have been recomputed for many models in CDD, and frequency tables have been added to the PSSMs;</li>
</ul><ul>
<li>The search databases distributed as part of this release can now be used with the more recent versions of RPS-BLAST (BLAST release 2.2.28 and up) using composition-based scoring. This abolishes the need to mask out compositionally biased regions in query sequences;</li>
</ul><ul>
<li>Domain annotation displays in CD-Search, BATCH CD-Search, and other services now all use a uniform display style. A new display option in CD-Search and BATCH CD-Search provides “standard” results, in addition to “concise” and “full” results. “Standard” results will provide, for each region on the query sequence, the best0-scoring domain model (if any) from each of CDD’s database providers (Pfam, SMART, COG, TIGRFAMs, Protein Clusters, and the NCBI in-house curation project), but will suppress redundancy from within a single provider's results list.</li>
</ul><p>You can access CDD at the <a href="http://www.ncbi.nlm.nih.gov/cdd">Conserved Domains homepage</a> and find updated content on the <a href="ftp://ftp.ncbi.nih.gov/pub/mmdb/cdd">CDD FTP site</a>.</p><p>Reference:</p><p>NCBI Website</p>]]></description>
	<dc:creator>Shikha Logwani</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37545/ncbi-magic-blast</guid>
	<pubDate>Tue, 14 Aug 2018 18:11:11 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37545/ncbi-magic-blast</link>
	<title><![CDATA[NCBI Magic-BLAST]]></title>
	<description><![CDATA[<p>Magic-BLAST is a tool for mapping large next-generation RNA or DNA sequencing runs against a whole genome or transcriptome. Each alignment optimizes a composite score, taking into account simultaneously the two reads of a pair, and in case of RNA-seq, locating the candidate introns and adding up the score of all exons. This is very different from other versions of BLAST, where each exon is scored as a separate hit and read-pairing is ignored.</p>
<p>Magic-BLAST incorporates within the NCBI BLAST code framework ideas developed in the NCBI Magic pipeline, in particular hit extensions by local walk and jump&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/26109056">(http://www.ncbi.nlm.nih.gov/pubmed/26109056)</a>, and recursive clipping of mismatches near the edges of the reads, which avoids accumulating artefactual mismatches near splice sites and is needed to distinguish short indels from substitutions near the edges.</p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="https://ncbi.github.io/magicblast/" rel="nofollow">https://ncbi.github.io/magicblast/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41482/magic-blast</guid>
	<pubDate>Fri, 20 Mar 2020 15:18:36 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41482/magic-blast</link>
	<title><![CDATA[Magic-BLAST]]></title>
	<description><![CDATA[<p>Magic-BLAST is a tool for mapping large next-generation RNA or DNA sequencing runs against a whole genome or transcriptome. Each alignment optimizes a composite score, taking into account simultaneously the two reads of a pair, and in case of RNA-seq, locating the candidate introns and adding up the score of all exons. This is very different from other versions of BLAST, where each exon is scored as a separate hit and read-pairing is ignored.</p><p>Address of the bookmark: <a href="https://ncbi.github.io/magicblast/" rel="nofollow">https://ncbi.github.io/magicblast/</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/44604/new-release-of-refseq</guid>
	<pubDate>Tue, 16 Jul 2024 10:09:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/44604/new-release-of-refseq</link>
	<title><![CDATA[New Release of RefSeq !]]></title>
	<description><![CDATA[<p>Check out RefSeq release 225, now available&nbsp;<a href="https://www.ncbi.nlm.nih.gov/refseq/?utm_source=ncbi_insights&amp;utm_medium=referral&amp;utm_campaign=refseq-release-225-20240715">online</a>&nbsp;and from the&nbsp;<a href="https://ftp.ncbi.nlm.nih.gov/refseq/release/">FTP</a>&nbsp;site. You can access RefSeq data through&nbsp;<a href="https://www.ncbi.nlm.nih.gov/datasets/?utm_source=ncbi_insights&amp;utm_medium=referral&amp;utm_campaign=refseq-release-225-20240715">NCBI Datasets</a>.</p><h5>What&rsquo;s included in this release?</h5><p>As of July 8, 2024, this full release incorporates genomic, transcript, and protein data containing:</p><ul>
<li><span>448,507,905 records</span></li>
<li><span>334,845,613 proteins</span></li>
<li><span>63,542,774 RNAs</span></li>
<li><span>Sequences from 152,668 organisms</span></li>
</ul><p>The release is provided in several directories as a complete dataset and also as divided by logical groupings.</p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35635/ete-3-reconstruction-analysis-and-visualization-of-phylogenomic-data</guid>
	<pubDate>Mon, 19 Feb 2018 06:46:15 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35635/ete-3-reconstruction-analysis-and-visualization-of-phylogenomic-data</link>
	<title><![CDATA[ETE 3: Reconstruction, Analysis, and Visualization of Phylogenomic Data]]></title>
	<description><![CDATA[<p><span>ETE v3, featuring numerous improvements in the underlying library of methods, and providing a novel set of standalone tools to perform common tasks in comparative genomics and phylogenetics. </span></p>
<p><span>The new features include </span></p>
<p><span>(i) building gene-based and supermatrix-based phylogenies using a single command, </span></p>
<p><span>(ii) testing and visualizing evolutionary models, </span></p>
<p><span>(iii) calculating distances between trees of different size or including duplications, and </span></p>
<p><span>(iv) providing seamless integration with the NCBI taxonomy database. </span></p>
<p><span>ETE is freely available at&nbsp;</span><a href="http://etetoolkit.org/" target="">http://etetoolkit.org</a></p><p>Address of the bookmark: <a href="http://etetoolkit.org" rel="nofollow">http://etetoolkit.org</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36368/d3-javascript-for-visualization</guid>
	<pubDate>Mon, 23 Apr 2018 08:42:22 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36368/d3-javascript-for-visualization</link>
	<title><![CDATA[D3 javascript for visualization !]]></title>
	<description><![CDATA[<p><span>Welcome to the&nbsp;</span><span>D3 gallery</span><span>! More examples are available on&nbsp;</span><a href="http://bl.ocks.org/mbostock">bl.ocks.org/mbostock</a><span>. If you want to share an example and don't have your own hosting, consider using&nbsp;</span><a href="http://gist.github.com/">Gist</a><span>&nbsp;and&nbsp;</span><a href="http://bl.ocks.org/">bl.ocks.org</a><span>. If you want to share or view live examples try&nbsp;</span><a href="https://vida.io/explore">vida.io</a><span>.</span></p><p>Address of the bookmark: <a href="https://github.com/d3/d3/wiki/Gallery" rel="nofollow">https://github.com/d3/d3/wiki/Gallery</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37982/raven-a-software-suite-for-matlab-that-allows-for-semi-automated-reconstruction-of-genome-scale-models</guid>
	<pubDate>Wed, 24 Oct 2018 22:38:05 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37982/raven-a-software-suite-for-matlab-that-allows-for-semi-automated-reconstruction-of-genome-scale-models</link>
	<title><![CDATA[RAVEN: a software suite for Matlab that allows for semi-automated reconstruction of genome-scale models]]></title>
	<description><![CDATA[<p><span>The RAVEN (Reconstruction, Analysis and Visualization of Metabolic Networks) Toolbox 2 is a software suite for Matlab that allows for semi-automated reconstruction of genome-scale models (GEMs). It makes use of published models and/or KEGG, MetaCyc databases, coupled with extensive gap-filling and quality control features. The software suite also contains methods for visualizing simulation results and omics data, as well as a range of methods for performing simulations and analyzing the results. The software is a useful tool for system-wide data analysis in a metabolic context and for streamlined reconstruction of metabolic networks based on protein homology.</span></p><p>Address of the bookmark: <a href="https://github.com/SysBioChalmers/RAVEN" rel="nofollow">https://github.com/SysBioChalmers/RAVEN</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39244/chromomap-an-r-package-for-interactive-visualization-and-annotation-of-chromosomes</guid>
	<pubDate>Fri, 12 Apr 2019 05:30:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39244/chromomap-an-r-package-for-interactive-visualization-and-annotation-of-chromosomes</link>
	<title><![CDATA[chromoMap-An R package for Interactive Visualization and Annotation of Chromosomes]]></title>
	<description><![CDATA[<p>Provides interactive, configurable and elegant graphics visualization of the chromosomes or chromosome regions of any living organism allowing users to map chromosome elements (like genes, SNPs etc.) on the chromosome plot. It introduces a special plot viz. the "chromosome heatmap" that, in addition to mapping elements, can visualize the data associated with chromosome elements (like gene expression) in the form of heat colors which can be highly advantageous in the scientific interpretations and research work. The package provide multiple features like visualizing multiple sets, chromosome heat-maps, group annotations, adding hyperlinks, and labelling. The plots can be saved as HTML documents that can be customized and shared easily. In addition, you can include them in R Markdown or in R 'Shiny' applications.</p><p>Address of the bookmark: <a href="https://cran.r-project.org/web/packages/chromoMap/vignettes/chromoMap.html" rel="nofollow">https://cran.r-project.org/web/packages/chromoMap/vignettes/chromoMap.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44557/fundamentals-of-data-visualization-by-claus-o-wilke</guid>
	<pubDate>Sat, 08 Jun 2024 16:07:19 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44557/fundamentals-of-data-visualization-by-claus-o-wilke</link>
	<title><![CDATA[Fundamentals of Data Visualization by Claus O. Wilke]]></title>
	<description><![CDATA[<p><span><span>The book is meant as a guide to making visualizations that accurately reflect the data, tell a story, and look professional. It has grown out of my experience of working with students and postdocs in my laboratory on thousands of data visualizations. Over the years, I have noticed that the same issues arise over and over. I have attempted to collect my accumulated knowledge from these interactions in the form of this book.</span></span></p>
<p><span>The entire book is written in R Markdown, using RStudio as my text editor and the&nbsp;</span><span>bookdown</span><span>&nbsp;package to turn a collection of markdown documents into a coherent whole. The book&rsquo;s source code is hosted on GitHub, at&nbsp;</span><a href="https://github.com/clauswilke/dataviz">https://github.com/clauswilke/dataviz</a><span>.&nbsp;</span></p><p>Address of the bookmark: <a href="https://clauswilke.com/dataviz/" rel="nofollow">https://clauswilke.com/dataviz/</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>

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