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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/35805?offset=1070</link>
	<atom:link href="https://bioinformaticsonline.com/related/35805?offset=1070" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41202/biocontainers</guid>
	<pubDate>Thu, 20 Feb 2020 05:29:46 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41202/biocontainers</link>
	<title><![CDATA[BioContainers]]></title>
	<description><![CDATA[<p><span>BioContainers is a community-driven project that provides the infrastructure and basic guidelines to create, manage and distribute bioinformatics packages (e.g conda) and containers (e.g docker, singularity). BioContainers is based on the popular frameworks&nbsp;</span><a href="https://conda.io/">Conda</a><span>,&nbsp;</span><a href="https://www.docker.com/">Docker</a><span>&nbsp;and&nbsp;</span><a href="https://www.sylabs.io/docs/">Singularity</a><span>.</span></p><p>Address of the bookmark: <a href="https://biocontainers.pro/#/" rel="nofollow">https://biocontainers.pro/#/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42236/bioinformatics-focused-postdoctoral-fellow</guid>
  <pubDate>Fri, 23 Oct 2020 05:52:52 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics-focused postdoctoral fellow]]></title>
  <description><![CDATA[
<p>Jason Thomas Ladner currently recruiting for a bioinformatics-focused postdoctoral<br />fellow to join the group at the Pathogen and Microbiome Institute,<br />Northern Arizona University (http://www7.nau.edu/ladnerlab/). This<br />will be a multi-year, NIH-funded position focused on the development and<br />utilization of a novel platform for highly multiplexed antiviral serology,<br />which utilizes high-throughput sequencing technology.</p>

<p>To apply:<br />https://hr.peoplesoft.nau.edu/psp/ph92prta/EMPLOYEE/HRMS/c/HRS_HRAM.HRS_APP_SCHJOB.GBL?Page=HRS_APP_JBPST&amp;Action=U&amp;FOCUS=Applicant&amp;SiteId=1&amp;JobOpeningId=604999&amp;PostingSeq=1</p>

<p>For more information, feel free to contact me: jason.ladner@nau.edu</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/14191/scalpel</guid>
	<pubDate>Wed, 20 Aug 2014 02:07:58 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/14191/scalpel</link>
	<title><![CDATA[Scalpel]]></title>
	<description><![CDATA[<p>A team from Cold Spring Harbor Laboratory has released an algorithm, called Scalpel, for finding insertions and deletions in next generation sequencing data sets. Scalpel, which is open source and <a href="http://scalpel.sourceforge.net/" title="available for download">available for download</a> on SourceForge,&nbsp;<span>outperformed the popular tools GATK HaplotypeCaller and SOAPindel in test runs on both simulated and real whole human exomes.</span></p><p>Like other indel callers, Scalpel works by performing <em>de novo</em>&nbsp;assembly of regions of interest, so that misalignment to the reference genome cannot obscure the presence of an insertion or deletion. Scalpel's innovation is to repeatedly check its assembly before comparing to the reference genome, to account for simple sequence repeats that are a regular source of error in indel calling. When Scalpel assembles an exon, it collects reads that map to that exon (including partial matches), splits them into k-mers, and creates a de Bruijn graph to span the exon; however, if it detects repeats in the map, it iteratively increases the size of the k-mers by one base until the repeats are eliminated. This ensures that the final assembly of the exon is highly accurate while minimizing compute time.</p><p>The Cold Spring Harbor team's validation of Scalpel, <a href="http://www.nature.com/nmeth/journal/vaop/ncurrent/full/nmeth.3069.html" title="published over the weekend in Nature Methods">published over the weekend in <em>Nature Methods</em></a>, compares Scalpel's performance on a live whole exome against HaplotypeCaller and SOAPindel. The donor is an individual with serious neurological disorders, which may be linked to a high incidence of indels. One thousand indels from this individual's exome, called by one or more of the informatics pipelines, were selected for focused resequencing. This resequencing revealed a 77% true positive rate for Scalpel calls, dramatically better than the rates for either of the competing tools; Scalpel performed especially well with indels longer than five base pairs, a traditional weak point for indel callers.</p><p>Finally, the authors demonstrate Scalpel's use on a large set of genetic data from nearly 600 families who donated samples to the Simons Simplex Collection, a project of the Simons Foundation Autism Research Initiative. Scalpel found a very high enrichment for indels in children affected by autism, compared with their unaffected siblings, a pattern that persisted even after excluding common variants.</p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/43284/tech-and-bioinformatics-roles-at-basepaws</guid>
  <pubDate>Wed, 18 Aug 2021 23:34:25 -0500</pubDate>
  <link></link>
  <title><![CDATA[Tech and Bioinformatics roles at Basepaws]]></title>
  <description><![CDATA[
<p>Basepaws is an LA-based pet genomics company, quickly growing and focused on feline and canine at-home genetic and biome tests, along with many other projects and products in the works. Thank you for taking a look!</p>

<p>Bioinformatics : https://www.linkedin.com/jobs/view/2681785372/</p>

<p>Engineer: https://www.linkedin.com/jobs/view/2681796993/</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/44352/bioinformatics-tools-for-genome-assembly</guid>
	<pubDate>Mon, 24 Jul 2023 07:04:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/44352/bioinformatics-tools-for-genome-assembly</link>
	<title><![CDATA[Bioinformatics tools for genome assembly !]]></title>
	<description><![CDATA[<p>There are numerous genome assembly tools available, each with its strengths and weaknesses. Here is a list of some widely used genome assembly tools as of my last update in September 2021:</p><ol>
<li>
<p><span>SPAdes:</span> An assembler specifically designed for single-cell and multi-cell bacterial genomes, as well as small eukaryotic genomes.</p>
</li>
<li>
<p><span>ABySS:</span> A parallelized assembler for large genomes that uses de Bruijn graphs.</p>
</li>
<li>
<p><span>Velvet:</span> Another de Bruijn graph-based assembler optimized for short-read sequencing data.</p>
</li>
<li>
<p><span>SOAPdenovo:</span> A de Bruijn graph-based assembler designed for short reads, widely used for assembling large and complex genomes.</p>
</li>
<li>
<p><span>MaSuRCA:</span> A hybrid assembler that combines data from multiple sequencing technologies, such as Illumina and PacBio.</p>
</li>
<li>
<p><span>Canu:</span> A long-read assembler optimized for PacBio and Oxford Nanopore sequencing data.</p>
</li>
<li>
<p><span>Flye:</span> A long-read assembler suitable for bacterial and small eukaryotic genomes.</p>
</li>
<li>
<p><span>SMARTdenovo:</span> An assembler designed for long reads, particularly suited for PacBio data.</p>
</li>
<li>
<p><span>SPAdes Long Read (SPAdesLR):</span> An extension of SPAdes for long-read data, such as those from PacBio or Nanopore.</p>
</li>
<li>
<p><span>Minia:</span> An assembler optimized for low memory consumption, suitable for small and medium-sized genomes.</p>
</li>
<li>
<p><span>Unicycler:</span> A hybrid assembler that combines short and long reads for circular bacterial genome assembly.</p>
</li>
<li>
<p><span>wtdbg2:</span> A de Bruijn graph assembler for long reads, efficient for very large genomes.</p>
</li>
<li>
<p><span>Shasta:</span> A long-read assembler that uses the Overlap-Layout-Consensus approach, suitable for PacBio and Nanopore data.</p>
</li>
<li>
<p><span>Sparc:</span> An assembler designed to handle noisy long reads from Nanopore sequencing.</p>
</li>
<li>
<p><span>CANA:</span> An assembler for metagenomic data, particularly for complex and diverse microbial communities.</p>
</li>
<li>
<p><span>Ra</span> Assembler: A metagenome assembler for long reads, designed for highly complex metagenomic samples.</p>
</li>
</ol><p>Please note that the field of bioinformatics is constantly evolving, and new assembly tools may have emerged since my last update. Additionally, the performance of these tools can vary depending on the characteristics of the sequencing data and the genome being assembled. When selecting an assembly tool, consider the specific requirements of your project, the available data types, and the computational resources at your disposal. Always refer to the respective tool's documentation and publications for the most up-to-date information and recommendations.</p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44581/biokit-a-set-of-tools-dedicated-to-bioinformatics-data-visualisation</guid>
	<pubDate>Tue, 18 Jun 2024 02:04:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44581/biokit-a-set-of-tools-dedicated-to-bioinformatics-data-visualisation</link>
	<title><![CDATA[BioKit: a set of tools dedicated to bioinformatics, data visualisation]]></title>
	<description><![CDATA[<p><span>BioKit is a set of tools dedicated to bioinformatics, data visualisation (</span><a href="https://biokit.readthedocs.io/en/latest/references.html#module-biokit.viz" title="biokit.viz"><code><span>biokit.viz</span></code></a><span>), access to online biological data (e.g. UniProt, NCBI thanks to bioservices). It also contains more advanced tools related to data analysis (e.g.,&nbsp;</span><a href="https://biokit.readthedocs.io/en/latest/references.html#module-biokit.stats" title="biokit.stats"><code><span>biokit.stats</span></code></a><span>). Since R is quite common in bioinformatics, we also provide a convenient module to run R inside your Python scripts or shell (:mod:biokit.rtools module).</span></p><p>Address of the bookmark: <a href="https://biokit.readthedocs.io/en/latest/index.html" rel="nofollow">https://biokit.readthedocs.io/en/latest/index.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/5898/an-entire-genome-written-in-lab</guid>
	<pubDate>Fri, 25 Oct 2013 09:43:03 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/5898/an-entire-genome-written-in-lab</link>
	<title><![CDATA[An entire genome written in lab]]></title>
	<description><![CDATA[<p>This is the first time ever the genetic code has been fundamentally changed. The breakthrough is a huge step forward in synthetic biology and opens up the possibility of turning re-coded bacteria into biofactories, capable of producing potent new forms of protein that could fight disease or generate sustainable materials.</p><p>More @ <a href="http://news.yale.edu/2013/10/17/researchers-rewrite-entire-genome-and-add-healthy-twist">http://news.yale.edu/2013/10/17/researchers-rewrite-entire-genome-and-add-healthy-twist</a></p><p>News Reference:&nbsp;Yale news</p><p><img src="http://images.sciencedaily.com/2011/07/110714142130-large.jpg" alt="image" width="800" height="530" style="border: 0px; border: 0px;"></p><p>Image Source: Sciencedaily.</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/38465/serb-sponsored-school-in-evolutionary-biology-2019-12%E2%80%9326-march-2019</guid>
  <pubDate>Fri, 14 Dec 2018 18:25:07 -0600</pubDate>
  <link></link>
  <title><![CDATA[SERB Sponsored School in Evolutionary Biology 2019, 12–26 March 2019]]></title>
  <description><![CDATA[
<p>Venue: Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR)<br />Jakkur, <br />Bengaluru 560 064 </p>

<p>Evolution provides the overarching framework for organizing our understanding of biological phenomena at multiple structural levels and spatio-temporal scales. As such, evolutionary biology is more of a perspective or weltanschauung on the living world rather than a sub-discipline of biology. Unfortunately, despite the centrality of evolution to all thinking in biology, evolutionary biology remains neglected in the Indian context although research in many areas, not traditionally thought to be within the ambit of evolutionary biology, would greatly benefit from an evolutionary perspective. </p>

<p>The first school in evolutionary biology in the country, sponsored by SERB, will be conducted at the Jawaharlal Nehru Centre for Advanced Scientific Research, Bengaluru. The school aims to provide participants with an introduction to the historical development of evolutionary thought and the various ecological, genetic and developmental aspects of the evolutionary process. The school will also provide an introduction to formal evolutionary theory and statistical methods for the analysis of evolutionary data. </p>

<p>Master’s/Ph.D. scholars, postdoctoral researchers and young faculty members in India may apply online on or before 31 December 2018 at http://school2019.serbevolschool.in, where additional details about the school can also be found. In case of any difficulty with the submission of applications, please e-mail Prof. T. N. C. Vidya, Jawaharlal Nehru Centre for Advanced Scientific Research, Jakkur, Bengaluru, at tncvidya.lab@gmail.com. </p>

<p>Selected participants will be provided 3-tier AC train fare and local hospitality. There is no registration fee.</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/44632/lecturer-uessex-in-evolutionary-biology</guid>
  <pubDate>Tue, 06 Aug 2024 02:41:17 -0500</pubDate>
  <link></link>
  <title><![CDATA[Lecturer @ UEssex in Evolutionary Biology]]></title>
  <description><![CDATA[
<p>The University of Essex, UK, is seeking a Lecturer conducting research in<br />evolutionary biology or a related field. The new Lecturer will join the<br />collegial and supportive environment of the School of Life Sciences,<br />contributing to teaching and leading a research programme, ideally<br />relating to any aspect of evolutionary biology.</p>

<p>Application closing date 16/09/2024</p>

<p>Details of the post and application process can be found at the following<br />url:</p>

<p>https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=202575WW5Z&amp;WVID=9918109NEm&amp;LANG=USA</p>

<p>Informal enquiries may be made by email to the Head of the School of<br />Life Sciences Prof Terence McGenity at tjmcgen@essex.ac.uk(all formal<br />applications for the post should be made online through the University<br />of Essex website).</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38489/biotite-a-general-framework-for-computational-biology</guid>
	<pubDate>Mon, 17 Dec 2018 18:52:27 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38489/biotite-a-general-framework-for-computational-biology</link>
	<title><![CDATA[Biotite: A general framework for computational biology]]></title>
	<description><![CDATA[<p><span>The package is open source and freely available at GitHub (</span><span><a href="https://github.com/biotite-dev/biotite" target="_blank">https://github.com/biotite-dev/biotite</a></span><span>). This package is simple to use especially for the beginners in programming and computationally efficient because of the implementation of Numpy and Cython.&nbsp;Biotite consists of four sub packages: sequence, structure, databases, and application. The&nbsp;</span><em>sequence</em><span>&nbsp;and&nbsp;</span><em>structure</em><span>&nbsp;modules serve for the analysis of sequence and structural data analysis respectively,&nbsp;</span><em>database</em><span>&nbsp;downloads files from the other databases such as RCSB PDB, and&nbsp;</span><em>application</em><span>&nbsp;provides interface for external software.&nbsp;</span></p>
<p><span><span>The&nbsp;</span><em>Biotite</em><span>&nbsp;package bundles popular tasks in computational biology into an unifying framework, which is easy to use on the one hand side, but is also computationally efficient due to intensive usage of&nbsp;</span><em>NumPy</em><span>&nbsp;and&nbsp;</span><em>Cython</em><span>. This package focuses on working with sequence and structure data and supports various file formats and analysis and manipulation functions.</span></span></p><p>Address of the bookmark: <a href="https://github.com/biotite-dev/biotite" rel="nofollow">https://github.com/biotite-dev/biotite</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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