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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/40994?offset=220</link>
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	<description><![CDATA[]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36846/gblocks-eliminates-poorly-aligned-positions-and-divergent-regions-of-a-dna-or-protein-alignment</guid>
	<pubDate>Sat, 02 Jun 2018 07:36:05 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36846/gblocks-eliminates-poorly-aligned-positions-and-divergent-regions-of-a-dna-or-protein-alignment</link>
	<title><![CDATA[Gblocks: eliminates poorly aligned positions and divergent regions of a DNA or protein alignment]]></title>
	<description><![CDATA[<p><a href="http://molevol.cmima.csic.es/castresana/Gblocks.html">Gblocks</a><span>&nbsp;eliminates poorly aligned positions and divergent regions of a DNA or protein alignment so that it becomes more suitable for phylogenetic analysis. This server implements the most important features of the Gblocks program to make its use as simple as possible without loosing the functionality that it is necessary in most of the cases. Other options can be changed in the stand-alone program. You can see here an&nbsp;</span><a href="http://molevol.cmima.csic.es/castresana/Gblocks_server/nad3.pir-gb.htm">example output file</a><span>&nbsp;showing the blocks selected from a protein alignment. Further information can be found in the&nbsp;</span><a href="http://molevol.cmima.csic.es/castresana/Gblocks/Gblocks_documentation.html">online documentation</a><span>.&nbsp;</span></p><p>Address of the bookmark: <a href="http://molevol.cmima.csic.es/castresana/Gblocks_server.html" rel="nofollow">http://molevol.cmima.csic.es/castresana/Gblocks_server.html</a></p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38501/fgenesh-program-for-predicting-multiple-genes-in-genomic-dna-sequences</guid>
	<pubDate>Thu, 20 Dec 2018 11:55:08 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38501/fgenesh-program-for-predicting-multiple-genes-in-genomic-dna-sequences</link>
	<title><![CDATA[FGENESH - Program for predicting multiple genes in genomic DNA sequences]]></title>
	<description><![CDATA[<p>FGENESH is the fastest (50-100 times faster than GenScan) and most accurate gene finder available - see the figure and the table below. In recent rice genome sequencing projects, it was cited "the most successful (gene finding) program (Yu&nbsp;<em>et al</em>. (2002) Science 296:79) and was used to produce 87% of all high-evidence predicted genes (Goff&nbsp;<em>et al</em>. (2002) Science 296:79).</p><p>Address of the bookmark: <a href="http://www.softberry.com/berry.phtml?topic=fgenesh&amp;group=help&amp;subgroup=gfind" rel="nofollow">http://www.softberry.com/berry.phtml?topic=fgenesh&amp;group=help&amp;subgroup=gfind</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40865/dminda2-an-integrated-web-server-for-dna-motif-identification-and-analyses</guid>
	<pubDate>Sun, 02 Feb 2020 14:26:01 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40865/dminda2-an-integrated-web-server-for-dna-motif-identification-and-analyses</link>
	<title><![CDATA[DMINDA2: an integrated web server for DNA motif identification and analyses]]></title>
	<description><![CDATA[<p><span>DMINDA (</span><strong>D</strong><span>NA&nbsp;</span><strong>m</strong><span>otif&nbsp;</span><strong>i</strong><span>dentification a</span><strong>nd a</strong><span>nalyses) is an integrated web server for DNA motif identification and analyses</span></p>
<p><span>More at&nbsp;http://bmbl.sdstate.edu/DMINDA2/</span></p>
<p><span><a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4086085/">https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4086085/</a></span></p><p>Address of the bookmark: <a href="http://bmbl.sdstate.edu/DMINDA2/" rel="nofollow">http://bmbl.sdstate.edu/DMINDA2/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44495/exrec-exclusion-of-recombined-dna</guid>
	<pubDate>Wed, 27 Mar 2024 20:48:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44495/exrec-exclusion-of-recombined-dna</link>
	<title><![CDATA[ExRec: Exclusion of Recombined DNA]]></title>
	<description><![CDATA[<p><span>ExRec (Exclusion of Recombined DNA) is a Python pipeline that implements the four-gamete test to filter out recombined DNA sites from up to thousands of DNA sequence loci. The pipeline consists of five standalone applications: the first two convert folders of NEXUS or PHYLIP files into the standard input file for the main program that conducts the four-gamete filtering procedures. The pipeline outputs recombination-filtered data in concatenated NEXUS and PHYLIP formats and a tab-delimited table containing descriptive statistics for all loci and the results. This software also allows the user to output the longest non-recombined sequence blocks from loci (current best practice) or randomly select non-recombined blocks from loci (a newer approach). Two other applications in the package convert the recombination-filtered data into single-locus NEXUS or PHYLIP files. The ExRec package can thus facilitate species delimitation, species tree, and historical demography studies by providing loci that better meet the no-recombination assumption in coalescent-based analyses.</span></p>
<p><span>Link to the article:&nbsp;</span><a href="https://academic.oup.com/bioinformaticsadvances/article/3/1/vbad174/7455250?searchresult=1" target="_blank">https://academic.oup.com/bioinformaticsadvances/article/3/1/vbad174/7455250?searchresult=1</a><br><br><span>Link to the software:</span><br><a href="https://github.com/Sammccarthypotter/ExRec" target="_blank">https://github.com/Sammccarthypotter/ExRec</a></p><p>Address of the bookmark: <a href="https://github.com/Sammccarthypotter/ExRec" rel="nofollow">https://github.com/Sammccarthypotter/ExRec</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/45338/dna-in-pieces-survival-in-progress-the-rotifer%E2%80%99s-incredible-secret</guid>
	<pubDate>Fri, 18 Sep 2026 03:07:47 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/45338/dna-in-pieces-survival-in-progress-the-rotifer%E2%80%99s-incredible-secret</link>
	<title><![CDATA[DNA in Pieces, Survival in Progress: The Rotifer’s Incredible Secret]]></title>
	<description><![CDATA[<p>A creature smaller than a grain of sand has discovered a surprising method of surviving damage that can break its DNA apart. It lives in the mosses and lichens, in the thin films of water that show up after rain and disappear when the area dries out. Although it has no hard armor, no sharp claws, and no venom, it is still able to survive even when its chromosomes are shattered by radiation and can pass on some of that damaged DNA to its offspring so that the repair process can go on for several generations. The animal in question is a bdelloid rotifer named Adineta vaga, and its unusual method of survival is providing scientists with new ideas regarding how DNA damage can be repaired.</p><p>Bdelloid rotifers are small animals well known for their ability to survive in harsh conditions. They can endure extreme dehydration by entering a state of dormancy and then revive when water becomes available again. Scientists have always been interested in the degree to which these animals resist radiation, since radiation can severely damage DNA by causing both of its strands to break. Interestingly, Adineta vaga's ability to survive radiation may be connected to the way in which it tolerates drying out, as dehydration can also damage DNA. The rotifer probably evolved strong DNA protection and repair mechanisms primarily as a response to its severe environment. Its resistance to radiation is merely a byproduct of adapting to the cycles of drying and rehydration.</p><p>In order to find out more about this ability, the researchers subjected A. vaga to proton radiation and then examined what effect it had on its chromosomes. The radiation caused serious damage, resulting in hundreds of breaks in the DNA. For the vast majority of organisms, such extensive chromosome damage would be disastrous; it's similar to going through an instruction manual in a shredder and ending up with a large number of separate fragments. The scientists believed that the rotifers would repair their chromosomes before producing offspring. However, what they discovered was unexpected: some of the broken pieces of chromosome did survive and were passed on to the next generations, where the repair process continued.</p><p>The discovery took on even greater interest when the scientists examined the offspring of the irradiated rotifers. Rather than observing the same DNA damage in all the generations, they found different sized sections missing and evidence that some of the genetic regions which had been lost were being slowly restored. The researchers proposed that the rotifers use a repair mechanism known as Break-Induced Homologous Extension Repair, or BIHER. In simple terms, a broken piece of DNA can locate a matching sequence on the other chromosome and use it as a guide to rebuild itself. If the damage is beyond what can be repaired in one generation, the repair process can continue in the next.</p><p>What makes the rotifer's method of repairing DNA so unusual is that, normally, we consider DNA repair to take place immediately after damage has occurred, with the cell rapidly repairing the damaged DNA. In A. vaga, however, the repair process can be a lot longer. Certain pieces of chromosome survive the initial damage, are inherited, and then serve as the basis for further repairs in later generations. It's as if one generation begins mending a broken book, the next one continues the work, and another eventually completes the job until all the missing parts have been restored.</p><p>One reason why this might work is that bdelloid rotifers have holocentric chromosomes. Rather than having a single point, as most chromosomes do, which controls movement during cell division, the ability to move is distributed along the entire length of their chromosomes. As a result, fragments of chromosomes are sometimes able to retain the parts that are necessary for them to move and divide, and this may account for how broken pieces of chromosome can last long enough to be passed on and then repaired.</p><p>This finding could have implications that go beyond those concerning rotifers. Scientists are interested in understanding how genomes cope with severe chromosome damage, for example in the case of chromothripsis, where chromosomes break and are then reassembled in new configurations. Investigating A. vaga could help us to learn how cells manage large genetic issues. Moreover, its high resistance to radiation might also prove useful in research into extreme environments, such as the radiation hazards encountered on long space missions. However, these are ideas for future investigation; at present the rotifer's DNA repair mechanism cannot be used to protect people from radiation.</p><p>What is perhaps the most interesting aspect of this discovery is that the rotifer's remarkable ability could have developed for a very simple reason. Since an animal living in moss constantly undergoes periods of drying out and then getting wet again, the same mechanisms that protect its DNA when it is dehydrated might also enable it to survive radiation which would damage most other animals. Therefore, the rotifer probably did not evolve solely in order to resist radiation; instead, it became extremely good at coping with the difficult conditions it encounters, and radiation resistance was just a byproduct.</p><p>The case of Adineta vaga demonstrates that survival does not always mean avoiding damage; on some occasions it involves being able to recover from damage which appears to be impossible to repair. This small animal can survive having its chromosomes broken into many pieces, retain some of those pieces, pass them on to its offspring, and continue to repair them over successive generations. Although we generally regard DNA as something fragile that must always remain intact, the rotifer indicates an alternative possibility: perhaps a genome does not have to be perfect in order to survive, since sometimes the pieces last long enough for life to reassemble them, bit by bit, generation after generation.</p><p>Ream more at&nbsp;https://www.science.org/doi/10.1126/sciadv.aee0891</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/20440/linux-operating-system-aimed-at-scientists</guid>
	<pubDate>Mon, 19 Jan 2015 08:30:49 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/20440/linux-operating-system-aimed-at-scientists</link>
	<title><![CDATA[Linux operating system aimed at scientists]]></title>
	<description><![CDATA[<p>The Bio-Linux operating system is based on Ubuntu 14.04 LTS (Trusty Tahr), and the previous version was using Ubuntu 12.04 LTS. The developers only use LTS releases and that means that upgrades for this distro don't come along all that often.<br /> <br /> This Linux distribution is aimed at scientists and it comes with more than 250 bioinformatics packages, 50 graphical applications and several hundred command line tools. And this is just skimming the surface of what the OS can do. Users have access to even more apps from the official repositories.</p><h3>Bio-Linux is using an Ubuntu LTS version as its base</h3><p>The fact that it uses Ubuntu LTS versions for the base is a good thing because it means its users won't have to worry about the support. Ubuntu 14.04 LTS is supported until 2019, so people who are using Bio-Linux shouldn't have a problem.<br /> <br /> "An updated Bio-Linux 8 version is now on the website in ISO and OVA versions. As usual, there is no need to download this version if you are an existing user. All updates to existing packages will be applied to your system through the update manager and new packages are all available via apt-get or Synaptic," reads the <a href="http://nebclists.nerc.ac.uk/pipermail/bio-linux-announce/2015-January/000020.html" target="_blank">announcement</a>.<br /> <br /> The changelog also states that a problem that was preventing the desktop to not start on VirtualBox has been fixed, the QIIME and Bowtie-Bio tools have been upgraded, the pandaseq paired end assembler has been added, and the beginners tutorial specific to Bio-Linux 8 has been improved.<br /> <br /> Check out the official announcement for a complete list of changes and updates. You can <a href="http://linux.softpedia.com/get/System/Operating-Systems/Linux-Distributions/Bio-Linux-45495.shtml" target="_blank"><strong>download Bio-Linux 8.0.5</strong></a> right now from Softpedia and give it a spin. It has the Unity desktop and now it runs very well in virtual environments.</p><p>Reference @ http://news.softpedia.com/news/Bioinformatics-Distro-Bio-Linux-8-0-5-Now-Available-for-Download-469867.shtml</p>]]></description>
	<dc:creator>Pranjali Yadav</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43810/seqfu-a-suite-of-utilities-for-the-robust-and-reproducible-manipulation-of-sequence-files</guid>
	<pubDate>Tue, 01 Mar 2022 03:13:33 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43810/seqfu-a-suite-of-utilities-for-the-robust-and-reproducible-manipulation-of-sequence-files</link>
	<title><![CDATA[SeqFu: A Suite of Utilities for the Robust and Reproducible Manipulation of Sequence Files]]></title>
	<description><![CDATA[<p>A general-purpose program to manipulate and parse information from FASTA/FASTQ files, supporting gzipped input files. Includes functions to&nbsp;<em>interleave</em>&nbsp;and&nbsp;<em>de-interleave</em>&nbsp;FASTQ files, to&nbsp;<em>rename</em>&nbsp;sequences and to&nbsp;<em>count</em>&nbsp;and print&nbsp;<em>statistics</em>&nbsp;on sequence lengths. SeqFu is available for Linux and MacOS.</p>
<ul>
<li>A compiled program delivering high performance analyses</li>
<li>Supports FASTA/FASTQ files, also Gzip compressed</li>
<li>A growing collection of handy utilities, also for quick inspection of the datasets</li>
</ul>
<p>Can be easily&nbsp;<a href="https://telatin.github.io/seqfu2/installation">installed</a>&nbsp;via conda:</p>
<div>
<div>
<pre><code>conda <span>install</span> <span>-c</span> bioconda seqfu</code></pre>
</div>
</div><p>Address of the bookmark: <a href="https://telatin.github.io/seqfu2/" rel="nofollow">https://telatin.github.io/seqfu2/</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38172/bamview-a-free-interactive-display-of-read-alignments-in-bam-data-files</guid>
	<pubDate>Fri, 09 Nov 2018 13:43:22 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38172/bamview-a-free-interactive-display-of-read-alignments-in-bam-data-files</link>
	<title><![CDATA[BamView: a free interactive display of read alignments in BAM data files]]></title>
	<description><![CDATA[<p>To run the application on UNIX from the downloaded jar file run the UNIX:</p>
<p><tt>java -mx512m -jar BamView.jar</tt></p>
<p>and extra command line options are given when '-h' is used:</p>
<p><tt>java -jar BamView.jar -h</tt></p>
<p>BAM files can be specified on the command line with the '-a' option:</p>
<p><tt>java -mx512m -jar BamView.jar -a pathToFile/sorted.bam</tt></p>
<p>If a BAM filename is not given on the command line BamView will prompt for a file to be entered. The BAM index file should have the same name as the BAM file but with a '.bai' suffix. Multiple BAM files can be loaded and overlaid in the viewer. To make this easier BamView will read in files that contain a list of filenames.</p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="http://bamview.sourceforge.net/" rel="nofollow">http://bamview.sourceforge.net/</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/42319/blast-2110-release-is-now-available-on-ftp-site</guid>
	<pubDate>Sat, 14 Nov 2020 21:37:53 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/42319/blast-2110-release-is-now-available-on-ftp-site</link>
	<title><![CDATA[BLAST+ 2.11.0 release is now available on FTP site !]]></title>
	<description><![CDATA[<p><span style="font-size: 12.8px;"></span><span style="font-size: 12.8px;">BLAST+ 2.11.0 release is now available from our FTP site. The main advance is the ability to provide usage reports to NCBI to help us improve BLAST. This information is limited to the name of the BLAST program, some basic database metadata, a few BLAST parameters, as well the number and total size of your queries. See the Privacy document for more details on the information we collect, how we will use it, and how you can opt-out of reporting.</span></p><div><div><div><div lang="EN-US"><div><p>Another new feature allows threading by query batch in rpsblast/rpstblastn. Enabling this option using -m t provides more efficient searching with large numbers of queries. &nbsp;See release notes for details on more improvements and bug fixes.</p><p>Useful Links<br />------------<br />NCBI Insights:&nbsp;<a href="https://ncbiinsights.ncbi.nlm.nih.gov/2020/11/12/blast-2-11-0/" target="_blank">https://ncbiinsights.ncbi.nlm.nih.gov/2020/11/12/blast-2-11-0/</a></p><p>BLAST FTP:&nbsp;<a href="https://go.usa.gov/x7QQ3" target="_blank">https://go.usa.gov/x7QQ3</a><br />Privacy document:&nbsp;<a href="https://go.usa.gov/x7QQe" target="_blank">https://go.usa.gov/x7QQe</a><br />Release notes:&nbsp;<a href="https://go.usa.gov/x7Qnv" target="_blank">https://go.usa.gov/x7Qnv</a></p></div></div></div></div></div>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/33960/mgra-breakpoint-graphs-and-ancestral-genome-reconstructions</guid>
	<pubDate>Tue, 25 Jul 2017 08:48:25 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/33960/mgra-breakpoint-graphs-and-ancestral-genome-reconstructions</link>
	<title><![CDATA[MGRA: Breakpoint graphs and ancestral genome reconstructions]]></title>
	<description><![CDATA[<p>MGRA (Multiple Genome Rearrangements and Ancestors) is a tool for reconstruction of ancestor genomes and evolutionary history of extant genomes.</p>
<p>It takes as an input a set of genomes represented as sequences of genes (or synteny blocks) and produces such sequences for ancestral genomes at the internal nodes of the phylogenetic tree.</p>
<p>The phylogenetic tree may be also specified completely or partially, in the latter case MGRA can reconstruct conserved ancestral regions (CARs) of the ancestral genome of interest.</p>
<p>Since version 2 MGRA supports gene insertion and deletions in addition to genome rearrangements and allows the input genomes to have different gene content.</p>
<p>It also can reconstruct most plausible phylogenetic tree based on the rearrangement characters.</p><p>Address of the bookmark: <a href="http://mgra.cblab.org/" rel="nofollow">http://mgra.cblab.org/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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