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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/42370?offset=60</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4546/sowdhamini-lab</guid>
  <pubDate>Sun, 15 Sep 2013 09:19:12 -0500</pubDate>
  <link></link>
  <title><![CDATA[SOWDHAMINI Lab]]></title>
  <description><![CDATA[
<p>Genome sequencing projects have enormous potential for benefiting human endeavors. However, just as acquiring a language's vocabulary does not enable one to speak it, databases that list the amino acid composition of proteins do not directly tell us much about these proteins' higher-level structure and function. The most productive way to indirectly exploit these databases has been to start with the small number of proteins that are fully-characterised and to assume that other "similar" proteins will have a related structure and function. Proteins with very similar amino acid sequence are "no-brainers", but the real test, which our group largely focuses on, is to detect the "essential" similarity in proteins whose non-critical sections have experienced random rearrangements during evolution. In such cases functionally similar proteins may have less than 25% sequence overlap.</p>

<p>More @ http://www.ncbs.res.in/sowdhamini/groups_sowdhamini.htm</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44711/blast-5-key-updates-and-enhancements-for-modern-bioinformatics</guid>
	<pubDate>Sat, 07 Dec 2024 22:37:48 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44711/blast-5-key-updates-and-enhancements-for-modern-bioinformatics</link>
	<title><![CDATA[BLAST+ 5: Key Updates and Enhancements for Modern Bioinformatics]]></title>
	<description><![CDATA[<p>The BLAST+ 5 (Basic Local Alignment Search Tool) update has introduced several key enhancements aimed at improving performance, user experience, and compatibility with evolving genomic data standards. Here are the major updates:</p><ol>
<li>
<p><strong>Database Enhancements</strong>:</p>
<ul>
<li>The BLAST databases have shifted fully to the version 5 (v5) format, which integrates built-in taxonomy information. This allows for more detailed and efficient sequence annotation and analysis.</li>
<li>Protein databases in v5 are now accession-based, supporting a broader range of sequences, including those from high-throughput projects and the Pathogen Detection Project. These databases also accommodate structural proteins with multi-character chain identifiers.</li>
</ul>
</li>
<li>
<p><strong>Performance Improvements</strong>:</p>
<ul>
<li>Adaptive Composition-Based Statistics (CBS) is available as an experimental feature, enhancing the detection of novel results in protein-protein comparisons.</li>
<li>Updated algorithms improve the stability of search results, especially when fewer hits are requested than the default output.</li>
</ul>
</li>
<li>
<p><strong>Compatibility</strong>:</p>
<ul>
<li>Support for the older v4 databases has been discontinued. The v5 format is now the default for all BLAST database updates, ensuring alignment with current standards in bioinformatics.</li>
</ul>
</li>
<li>
<p><strong>User-Friendly Changes</strong>:</p>
<ul>
<li>Naming conventions for databases have been simplified to enhance clarity and ease of use. For example, database names no longer include version tags like "_v5".</li>
</ul>
</li>
<li>
<p><strong>Future-Proofing</strong>:</p>
<ul>
<li>BLAST+ 5 aligns with current and upcoming data requirements, ensuring that researchers have access to the most comprehensive and modern resources for sequence alignment.</li>
</ul>
</li>
</ol><p>These updates reflect NCBI's commitment to maintaining BLAST as a leading tool for sequence analysis. For detailed release notes and additional guidance, refer to NCBI Insights <a href="https://ncbiinsights.ncbi.nlm.nih.gov/">here</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40994/biological-databases</guid>
	<pubDate>Wed, 12 Feb 2020 01:16:29 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40994/biological-databases</link>
	<title><![CDATA[Biological databases !]]></title>
	<description><![CDATA[<p>Now a days there are a lots of genomics databases available around the world. This bookmark is created to provide all links in one place ...</p>
<p>ftp://ftp.ncbi.nih.gov/genomes/</p>
<p>https://hgdownload.soe.ucsc.edu/downloads.html</p><p>Address of the bookmark: <a href="ftp://ftp.ncbi.nih.gov/genomes/" rel="nofollow">ftp://ftp.ncbi.nih.gov/genomes/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<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>
</item>
<item>
	<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>
</item>
<item>
	<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>
</item>
<item>
	<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>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/41956/blast-on-docker-google-cloud-amazon-cloud</guid>
	<pubDate>Thu, 09 Jul 2020 02:57:11 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/41956/blast-on-docker-google-cloud-amazon-cloud</link>
	<title><![CDATA[Blast on Docker, Google Cloud, Amazon Cloud]]></title>
	<description><![CDATA[<p>As announced in a&nbsp;<a href="https://ncbiinsights.ncbi.nlm.nih.gov/2019/07/16/the-blast-programs-and-databases-are-available-in-docker-and-cloud-ready/" target="_blank">previous post</a>, we offer a&nbsp;<a href="https://www.docker.com/" target="_blank">Docker</a>&nbsp;version of NCBI BLAST+ that you can use locally or on the&nbsp;<a href="https://cloud.google.com/" target="_blank">Google Cloud</a>&nbsp;where we have pre-loaded BLAST databases.&nbsp; We are happy to announce that the same functionality is now available on the&nbsp;<a href="https://aws.amazon.com/" target="_blank">Amazon Cloud</a>.&nbsp; In addition, we now offer 23 different BLAST databases on each cloud platform.<span style="text-decoration: underline;"></span><span style="text-decoration: underline;"></span></p><p>As mentioned before, working with BLAST+ in Docker and the cloud has several advantages:<span style="text-decoration: underline;"></span><span style="text-decoration: underline;"></span></p><ul>
<li>Docker manages installation and maintenance of the BLAST programs and databases.<span style="text-decoration: underline;"></span><span style="text-decoration: underline;"></span></li>
<li>Docker makes it is easier to integrate BLAST with other tools in your pipelines.<span style="text-decoration: underline;"></span><span style="text-decoration: underline;"></span></li>
<li>NCBI BLAST databases are pre-loaded now on the both the&nbsp;<a href="https://cloud.google.com/" target="_blank" title="Follow link">Google Cloud</a>&nbsp;and&nbsp;<a href="https://aws.amazon.com/" target="_blank" title="Follow link">Amazon Cloud</a>, providing fast access.<span style="text-decoration: underline;"></span><span style="text-decoration: underline;"></span></li>
</ul><p>You can also use the BLAST+ Docker image on any Docker-enabled platform, such as another cloud platform or on your local computer.<span style="text-decoration: underline;"></span><span style="text-decoration: underline;"></span></p><p>See the&nbsp;&nbsp;<a href="https://github.com/ncbi/blast_plus_docs" target="_blank" title="Follow link">BLAST+ in the Cloud</a>&nbsp;and&nbsp;&nbsp;<a href="https://github.com/ncbi/docker/wiki/Getting-BLAST-databases" target="_blank" title="Follow link">database information</a>&nbsp;documentation to get started.<span style="text-decoration: underline;"></span><span style="text-decoration: underline;"></span></p><p>If you have any questions, please email us at&nbsp;blast-help@ncbi.nlm.nih.gov</p><p>Source:<span>Dave Arndt</span></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36857/%E2%80%9Cone-code-to-find-them-all%E2%80%9D-a-perl-tool-to-conveniently-parse-repeatmasker-output-files</guid>
	<pubDate>Mon, 04 Jun 2018 03:45:15 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36857/%E2%80%9Cone-code-to-find-them-all%E2%80%9D-a-perl-tool-to-conveniently-parse-repeatmasker-output-files</link>
	<title><![CDATA[“One code to find them all”: a perl tool to conveniently parse RepeatMasker output files]]></title>
	<description><![CDATA[One code to find them all is a set of perl scripts to extract useful information from RepeatMasker about transposable elements, retrieve their sequences and get some quantitative information.

Assemble RepeatMasker hits into complete TE copies, including LTR-retrotransposon
Retrieve corresponding TE sequences, and flanking sequences, from the local fasta files
Compute summary statistics for each TE family (number of TE copies, genome coverage...)
Ambiguous cases such as nested TE can be assembled into copies automatically or manually
Allow for working with a TE user-defined library
Allow for working with only a user-chosen set of TE families


http://doua.prabi.fr/software/one-code-to-find-them-all<p>Address of the bookmark: <a href="http://doua.prabi.fr/software/one-code-to-find-them-all" rel="nofollow">http://doua.prabi.fr/software/one-code-to-find-them-all</a></p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/10810/uk-executive-accused-in-glaxosmithkline-china-probe</guid>
	<pubDate>Wed, 14 May 2014 04:55:42 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/10810/uk-executive-accused-in-glaxosmithkline-china-probe</link>
	<title><![CDATA[UK executive accused in GlaxoSmithKline China probe]]></title>
	<description><![CDATA[<p>Mark Reilly and two other colleagues are also suspected of bribing government officials in Beijing and Shanghai, they said.</p><p>Police have handed the case over to prosecutors, officials said.</p><p>GSK said it took the allegations "very seriously" and would co-operate with the authorities over the matter.</p><p>Chinese authorities announced in July last year that they were investigating GSK, detaining four Chinese GSK executives.</p><p>http://www.bbc.com/news/world-asia-china-27403914</p>]]></description>
	<dc:creator>phu</dc:creator>
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