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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/38226?offset=70</link>
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	<description><![CDATA[]]></description>
	
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	<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>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/8504/update-genome-workbench-2715-released</guid>
	<pubDate>Wed, 26 Feb 2014 16:12:17 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/8504/update-genome-workbench-2715-released</link>
	<title><![CDATA[Update Genome Workbench 2.7.15 released]]></title>
	<description><![CDATA[<p>NCBI Genome Workbench is an integrated application for viewing and analyzing sequence data. With Genome Workbench, you can view data in publically available sequence databases at NCBI, and mix this data with your own private data.</p><p><img src="http://www.ncbi.nlm.nih.gov/core/assets/gbench/images/firstscreen_still.gif" alt="Introductory screen shot" style="border: 0px; border: 0px;"></p><p>Genome Workbench can display sequence data in many ways, including graphical sequence views, various alignment views, phylogenetic tree views, and tabular views of data. It can also align your private data to data in public databases, display your data in the context of public data, and retrieve BLAST results.</p><p>Genome Workbench is built on the NCBI C++ ToolKit and uses cross-platform APIs for graphics. It runs on your local machine, and is available for Windows 2000/XP, Linux, MacOS X, and various flavors of Unix.</p><p>NCBI Genome Workbench is an integrated application for viewing and analyzing sequence data. Genome Workbench was developed entirely in-house at NCBI and makes use of the NCBI C++ ToolKit. The C++ ToolKit provides a convenient and flexible cross-platform API for managing system internals, database connections, network sockets, and the NCBI data model. In addition, the C++ ToolKit provides the Object Manager, which abstracts handling of sequences and sequence-related objects.</p><p>&nbsp;New Features in Genome Workbench 2.7.15 <br /><br /></p><ul>
<li>Multiple Alignment View: implemented adaptive feature display when zooming in</li>
<li>Active Objects Inspector replaces Selection Inspector. New View should offer an improved selection context examination. See Using Active Objects Inspector tutorial for more details.</li>
<li>Binary packages for Linux OpenSUSE 13.1 are now available</li>
</ul><p><br />Bug Fixes and Improvements in Genome Workbench 2.7.15 <br /><br /></p><ul>
<li>Fixed major issue with OpenGL overlay/scrolling. Could cause crashes or view scrolling irregularities</li>
<li>Multiple Pane View: fixed crash on loading BLAST results</li>
<li>Graphical Sequence View: fixed crash on zooming in and out, related to SNP track</li>
<li>Graphical Sequence View: fixed Go To Position dialog to give better diagnostics in case of a user error</li>
<li>Graphical Sequence View: PDF export fixed rendering of Markers with commas in the name</li>
<li>Text View / Flat File: fixed Mac OS rendering issues</li>
<li>Text View / Flat File: performance optimization, extended capabilities of real-time rendering of molecules to tens of thousands</li>
<li>File Import: optimization improvement to speed up load of files containing multiple project items</li>
<li>File Import: remapping stage now shows accession.version and description of molecules, instead of plain GI numbers</li>
<li>Mac OS: improved tooltips for toolbar buttons</li>
<li>Phylogenetic Tree Builder Tool: improved diagnostics of errors</li>
<li>Multiple Alignment View: optimizations to avoid main GUI freezes</li>
<li>Open Dialog: removed duplicate elements in table of genomes (load Genome)</li>
<li>PDF export: fixed issue with XREF table errors</li>
<li>Tree View: fixed issues with showing Force Layout progress on Mac OS</li>
<li>Tree View: PDF export fixed issues for showing labels of collapsed nodes</li>
<li>Tree View: added an option to stop layout</li>
<li>Tree View: broadcasting mechanism fixed not to accumulate selected nodes</li>
</ul><p>Reference:</p><p>NCBI news</p><p>http://www.ncbi.nlm.nih.gov/tools/gbench/</p>]]></description>
	<dc:creator>Surabhi Chaudhary</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26375/ncbi-remap</guid>
	<pubDate>Thu, 11 Feb 2016 11:02:26 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26375/ncbi-remap</link>
	<title><![CDATA[NCBI Remap]]></title>
	<description><![CDATA[<p><span><span><strong>NCBI Remap</strong>. This tool is conceptually similar to liftOver in that in manages conversions between a pair of genome assemblies but it uses different methods to achieve these mappings. It is also available through a simple <a href="http://www.ncbi.nlm.nih.gov/genome/tools/remap">web interface</a> or you can use the <a href="http://www.ncbi.nlm.nih.gov/genome/tools/remap/docs/api">API for NCBI Remap</a>.</span></span></p>
<p><span><span>More at http://www.ncbi.nlm.nih.gov/genome/tools/remap</span></span></p>
<p><span><span>API http://www.ncbi.nlm.nih.gov/genome/tools/remap/docs/api</span></span></p><p>Address of the bookmark: <a href="http://www.ncbi.nlm.nih.gov/genome/tools/remap" rel="nofollow">http://www.ncbi.nlm.nih.gov/genome/tools/remap</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/27713/mutabind</guid>
	<pubDate>Mon, 06 Jun 2016 13:34:09 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/27713/mutabind</link>
	<title><![CDATA[MutaBind]]></title>
	<description><![CDATA[<p><span>MutaBind is a new computational method and server created through NCBI research efforts that maps mutations on a protein structural complex, calculates changes in binding affinity, identifies deleterious mutations and produces a downloadable mutant structural model.&nbsp;</span><a href="http://www.ncbi.nlm.nih.gov/projects/mutabind/index.fcgi/" target="_blank">http://www.ncbi.nlm.nih.gov/projects/mutabind/index.fcgi/</a></p><p><img src="http://www.ncbi.nlm.nih.gov/projects/mutabind/prj-sunddg/static/myimgs/CirclesDiamondBlueThiner.png" width="471" height="258" alt="image" style="border: 0px;"></p><p><span>MutaBind guides you through this process, step by step, starting with selecting a protein complex and inputting PDB code or uploading PDB files. You can also retrieve results with a job ID number, view help documents, and review the MutaBind method and references.</span></p><p><span>More at&nbsp;http://www.ncbi.nlm.nih.gov/projects/mutabind/index.fcgi/</span></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/32730/ncbi-prokaryotic-genome-annotation-pipeline</guid>
	<pubDate>Tue, 16 May 2017 08:56:03 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/32730/ncbi-prokaryotic-genome-annotation-pipeline</link>
	<title><![CDATA[NCBI Prokaryotic Genome Annotation Pipeline]]></title>
	<description><![CDATA[<p>NCBI Prokaryotic Genome Annotation Pipeline is designed to annotate bacterial and archaeal genomes (chromosomes and plasmids).</p>
<p>Genome annotation is a multi-level process that includes prediction of protein-coding genes, as well as other functional genome units such as structural RNAs, tRNAs, small RNAs, pseudogenes, control regions, direct and inverted repeats, insertion sequences, transposons and other mobile elements.</p>
<p>NCBI has developed an automatic prokaryotic genome annotation pipeline that combines&nbsp;<em>ab initio</em>&nbsp;gene prediction algorithms with homology based methods. The first version of NCBI Prokaryotic Genome Automatic Annotation Pipeline (PGAAP;&nbsp;<a href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&amp;db=pubmed&amp;dopt=Abstract&amp;list_uids=18416670">see Pubmed Article</a>) developed in 2005 has been replaced with an upgraded version that is capable of processing a larger data volume. You can find a more detailed description of the new version of&nbsp;the pipeline in&nbsp;<a href="https://www.ncbi.nlm.nih.gov/books/NBK174280/">NCBI Handbook chapter</a>. NCBI's annotation pipeline depends on several internal databases and is not currently available for download or use outside of the NCBI environment.</p>
<p>https://www.ncbi.nlm.nih.gov/genome/annotation_prok/</p><p>Address of the bookmark: <a href="https://www.ncbi.nlm.nih.gov/genome/annotation_prok/" rel="nofollow">https://www.ncbi.nlm.nih.gov/genome/annotation_prok/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/40596/igblast-a-popular-ncbi-package-for-classifying-and-analyzing-immunoglobulin-ig-and-t-cell-receptor-tcr-variable-domain-sequences</guid>
	<pubDate>Thu, 23 Jan 2020 11:34:37 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/40596/igblast-a-popular-ncbi-package-for-classifying-and-analyzing-immunoglobulin-ig-and-t-cell-receptor-tcr-variable-domain-sequences</link>
	<title><![CDATA[IgBLAST: a popular NCBI package for classifying and analyzing immunoglobulin (IG) and T cell receptor (TCR) variable domain sequences]]></title>
	<description><![CDATA[<p>NCBI team released a new version of IgBLAST with four new improvements. IgBLAST is a popular NCBI package for classifying and analyzing immunoglobulin (IG) and T cell receptor (TCR) variable domain sequences. Improvements are:<span style="text-decoration: underline;"></span><span style="text-decoration: underline;"></span></p><p>&nbsp;&nbsp;&nbsp; 1. Support for the new FWR4 annotation feature in the AIRR format, both in standard format and in the AIRR alignment format.<span style="text-decoration: underline;"></span><span style="text-decoration: underline;"></span></p><p>&nbsp;&nbsp;&nbsp; 2. The previous &ldquo;-penalty&rdquo; parameter was renamed as -V_penalty to be consistent with other IgBLAST penalty options.<span style="text-decoration: underline;"></span><span style="text-decoration: underline;"></span></p><p>&nbsp;&nbsp;&nbsp; 3. Restored constant internal BLAST search parameters for domain annotation (i.e., FWR/CDR) such that this process is not influenced by user parameters.<span style="text-decoration: underline;"></span><span style="text-decoration: underline;"></span></p><p>&nbsp;&nbsp;&nbsp; 4. Corrected FWR/CDR annotations for certain mouse VK and rat VH germline genes.<span style="font-size: 12.8px;">&nbsp;</span></p><p><span style="text-decoration: underline;"></span></p><p>IgBLAST 1.15.0 is available for&nbsp;<a href="https://ftp.ncbi.nih.gov/blast/executables/igblast/release/LATEST/" target="_blank">download</a>&nbsp;from the BLAST FTP area. See the the new&nbsp;<a href="https://ncbi.github.io/igblast/" target="_blank">manual</a>&nbsp;on GitHub for information about setting up and running IgBLAST.</p><p><span style="text-decoration: underline;"></span></p><p>&nbsp;If you have any questions or concerns, please contact&nbsp;<a href="mailto:blast-help@ncbi.nlm.nih.gov" target="_blank" title="Follow link">blast-help@ncbi.nlm.nih.gov</a><span style="text-decoration: underline;"></span><span style="text-decoration: underline;"></span></p><p><span style="text-decoration: underline;"></span>&nbsp;</p>]]></description>
	<dc:creator>BioJoker</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/44342/ncbi-datasets%E2%80%AFpages</guid>
	<pubDate>Wed, 12 Jul 2023 06:29:31 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/44342/ncbi-datasets%E2%80%AFpages</link>
	<title><![CDATA[NCBI Datasets pages]]></title>
	<description><![CDATA[<p>Update! Assembly and Genome record pages now redirect to new NCBI Datasets pages. NCBI Datasets is a new resource that makes it easier to find and download genome data. Learn more: https://ncbiinsights.ncbi.nlm.nih.gov/2023/07/11/ncbi-datasets-genome-assembly-pages/&nbsp;<a href="https://ow.ly/GU3o50P8QH4"></a><a href="https://www.linkedin.com/feed/hashtag/?keywords=ncbicgr&amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7084592728260386816">#NCBICGR</a></p><p><span>Effective July 10, 2023, NCBI&rsquo;s Assembly and Genome record pages now redirect to&nbsp;</span>new<a href="https://www.ncbi.nlm.nih.gov/datasets/?utm_source=ncbi_insights&amp;utm_medium=referral&amp;utm_campaign=datasets-genome-assembly-redirect-20230711"> NCBI Datasets </a><span>pages. As&nbsp;</span><a href="https://ncbiinsights.ncbi.nlm.nih.gov/2023/03/07/ncbi-datasets-genome-taxonomy-pages/?utm_source=ncbi_insights&amp;utm_medium=referral&amp;utm_campaign=datasets-genome-assembly-redirect-20230711">previously announced</a><span>, these updates are part of our ongoing effort to modernize and improve your user experience. NCBI Datasets is a new resource that makes it easier to find and download genome data.  </span><span>&nbsp;</span></p><h5>The following pages have been updated:</h5><ul>
<li><span>The NCBI Assembly record pages now redirect to the new </span><a href="https://www.ncbi.nlm.nih.gov/datasets/genome/GCF_023065955.2/?utm_source=ncbi_insights&amp;utm_medium=referral&amp;utm_campaign=datasets-genome-assembly-redirect-20230711"><span>NCBI Datasets</span><strong><span> </span></strong><span>Genome</span></a><span> </span><span>record pages that describe assembled genomes and provide links to related NCBI tools such as Genome Data Viewer and BLAST. </span><span>&nbsp;</span></li>
<li><span>The NCBI</span><strong> </strong><span>Genome record pages now redirect to the </span><a href="https://www.ncbi.nlm.nih.gov/datasets/taxonomy/9644/?utm_source=ncbi_insights&amp;utm_medium=referral&amp;utm_campaign=datasets-genome-assembly-redirect-20230711"><span>NCBI Datasets</span><strong><span> </span></strong><span>Taxonomy</span></a><span> </span><span>record pages that provide a taxonomy-focused portal to genes, genomes, and additional NCBI resources.  </span><span>&nbsp;</span></li>
</ul><p><span>During this transition, you will have the option to return to the legacy Genome and Assembly record pages. We will remove the legacy pages in early 2024. </span><span>&nbsp;</span></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34744/foldit-solve-puzzles-for-science</guid>
	<pubDate>Thu, 21 Dec 2017 15:17:47 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34744/foldit-solve-puzzles-for-science</link>
	<title><![CDATA[Foldit: Solve Puzzles for Science]]></title>
	<description><![CDATA[<p><span>Foldit</span><span>&nbsp;is an online puzzle video game about protein&nbsp;</span><span>folding. It</span><span>&nbsp;is part of an experimental research project developed by the University of Washington, Center for Game Science, in collaboration with the UW Department of Biochemistry. The objective of&nbsp;</span><span>Foldit</span><span>&nbsp;is to&nbsp;</span><span>fold</span><span>&nbsp;the structures of selected proteins as perfectly as possible</span></p>
<p>https://fold.it/portal/</p><p>Address of the bookmark: <a href="https://fold.it/" rel="nofollow">https://fold.it/</a></p>]]></description>
	<dc:creator>Robert M Willioms</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/1471/24-mb-genome-size-for-worlds-biggest-virus</guid>
	<pubDate>Thu, 08 Aug 2013 10:05:37 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/1471/24-mb-genome-size-for-worlds-biggest-virus</link>
	<title><![CDATA[2.4 Mb Genome Size for World's Biggest Virus]]></title>
	<description><![CDATA[<p>The genome size of new discovered Pandoraviruses have roughly twice the size of the record-holding Megavirus genomic code. Interestingly only 6 percent of its genes resembled the genes other organisms. It is assume that it may come from a different origin.</p><p>For detail : http://www.sciencemag.org/content/341/6143/281</p><p>http://www.npr.org/blogs/health/2013/07/18/203298244/worlds-biggest-virus-may-have-ancient-roots</p><p>&nbsp;</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/13852/ebola-virus-disease-evdor-ebola-haemorrhagic-fever</guid>
	<pubDate>Sun, 10 Aug 2014 13:08:13 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/13852/ebola-virus-disease-evdor-ebola-haemorrhagic-fever</link>
	<title><![CDATA[Ebola virus disease (EVD)or Ebola haemorrhagic fever !!!]]></title>
	<description><![CDATA[<p>Ebola virus disease (EVD)or Ebola haemorrhagic fever is a severe and often deadly illness in humans, caused by the Ebola virus. The disease has high mortality rate, killing upto 90% of people who are infected.</p><p><img src="http://s4.reutersmedia.net/resources/r/?m=02&amp;d=20140808&amp;t=2&amp;i=959839176&amp;w=580&amp;fh=&amp;fw=&amp;ll=&amp;pl=&amp;r=LYNXMPEA770BX" width="580" height="452" alt="image" style="border: 0px;"></p><p><br />The ongoing 2014 West Africa Ebola outbreak is considered to be the largest and longest outbreak ever recorded of Ebola, killing at least 932 people and infecting more than 1,700 till date since March in Sierra Leone, Guinea, Nigeria and Liberia.<br /><br />Hence, the World Health Organisation (WHO) on 8 August, 2014 declared the killer Ebola epidemic ravaging parts of West Africa an international health emergency.<br /><br />Causes<br /><br />EVD is caused by infection with a virus of the family Filoviridae, genus Ebolavirus. While there are five identified sub-species of Ebolavirus, four viruses cause disease in humans. They are Bundibugyo virus (BDBV), Ebola virus (EBOV), Sudan virus (SUDV), Ta&iuml; Forest virus (TAFV).<br /><br />The fifth virus, Reston virus (RESTV), is not considered to be disease-causing in humans.<br /><br />According to WHO, EVD first appeared in 1976 in two simultaneous outbreaks, in Nzara, Sudan, and in Yambuku, Democratic Republic of Congo. The latter was in a village situated near the Ebola River from which the disease takes its name.</p><p>How does it spread?<br /><br />It is still unclear how Ebola spreads. However, it is believed that the first pateint becomes infected through contact with an infected animal's body fluids.<br /><br />Human-to-human transmission can occur through direct contact with blood, organs or other body fluids of infected people or exposure to objects such as needles and syringes that have been contaminated with infected secretions.<br /><br />Ebola can also be transmitted from men who have recovered from the disease through semen as it is infectious for up to 7 weeks.<br /><br />Infected dead bodies can spread Ebola as they are still infectious. So mourners who have direct contact with the body of deceased person can also get the disease.<br /><br />Who is most at risk?<br /><br />Health-care workers who do not wear appropriate protective clothing and family members who are in close contact with infected people or deceased patients.<br /><br />Signs and symptoms:<br /><br />Symptoms may occur between 2 and 21 days after contracting the infection. Common signs of Ebola include:</p><p><img src="https://scontent-b-sin.xx.fbcdn.net/hphotos-xap1/t1.0-9/p720x720/10494629_873450929332827_3274653669306581755_n.jpg" width="720" height="720" alt="image" style="border: 0px;"></p><p>Fever<br /><br />Headache<br /><br />Muscle, abdominal and joint pain<br /><br />Sore throat<br /><br />Weakness<br /><br />Diarrhea<br /><br />Vomit or cough up blood<br /><br />Chest pain<br /><br />Difficulty in breathing and swallowing<br /><br />Rash<br /><br />Hiccups<br /><br />Bleeding inside and outside the body<br /><br />Prevention<br /><br />Currently there is no vaccine available for humans. But the infection can be controlled through the use of recommended protective measures such as:<br /><br />Avoid contacting infected blood or secretions, including from those who are dead .<br /><br />Using standard precautions for all patients in the healthcare setting.<br /><br />Sterilizing equipment, and wearing protective clothing including masks, gloves, gowns and goggles.<br /><br />Washing your hands with soaps or detergents.<br /><br />Disinfecting your surroundings.<br /><br />Isolate people who have Ebola symptoms.<br /><br />Culling of infected animals, with close supervision of burial or incineration of carcasses.<br /><br />Yet, not travelling to the areas or countries where the virus is found is the best way to avoid Ebola.</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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