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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/43084?offset=330</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/44377/mitochondrial-genome-assembly-tools</guid>
	<pubDate>Wed, 06 Sep 2023 00:37:18 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/44377/mitochondrial-genome-assembly-tools</link>
	<title><![CDATA[Mitochondrial genome assembly tools !]]></title>
	<description><![CDATA[<p>Mitochondrial genome assembly tools are specialized software and algorithms designed to accurately reconstruct the mitochondrial genome (mitogenome) from sequencing data, typically obtained through techniques like next-generation sequencing (NGS). The mitochondrial genome is relatively small compared to the nuclear genome, making it an ideal target for assembly. Here are some commonly used mitochondrial genome assembly tools:</p><p><strong>MitoFinder:</strong> Mitofinder is a pipeline to assemble mitochondrial genomes and annotate mitochondrial genes from trimmed read sequencing data.</p><p><strong>MitoHiFi:</strong> a python pipeline for mitochondrial genome assembly from PacBio high fidelity reads</p><p>MITObim: MITObim is a tool specifically developed for the iterative assembly of mitochondrial genomes. It starts with a reference mitogenome and iteratively refines the assembly using the read data.</p><p><strong>MITOS:</strong> MITOS is a web-based platform that provides a pipeline for annotating mitochondrial genomes. It integrates multiple software tools for assembly, annotation, and visualization of mitogenomes.</p><p><strong>MIRA:</strong> MIRA (Mimicking Intelligent Read Assembly) is a versatile genome assembly tool that can be used for mitochondrial genome assembly. It supports various sequencing technologies and allows for reference-based or de novo assembly.</p><p><strong>NOVOPlasty:</strong> NOVOPlasty is a user-friendly tool designed for de novo assembly of organelle genomes, including mitochondria. It utilizes a seed-and-extend algorithm and is suitable for both short-read and long-read data.</p><p><strong>MITOS2:</strong> MITOS2 is an updated version of the MITOS pipeline, which automates the annotation of mitochondrial genomes. It provides improved accuracy and additional features for mitochondrial genome analysis.</p><p><strong>GetOrganelle:</strong> While primarily designed for chloroplast genome assembly, GetOrganelle can also be used for mitochondrial genome assembly. It is particularly useful for dealing with high-throughput sequencing data.</p><p><strong>SPAdes:</strong> SPAdes (St. Petersburg genome assembler) is a versatile genome assembly tool that can be employed for mitochondrial genome assembly, especially when dealing with complex datasets that may contain nuclear mitochondrial DNA sequences (numts).</p><p><strong>IDBA-UD:</strong> IDBA-UD (Iterative De Bruijn Graph De Novo Assembler) is another de novo assembly tool that can be used for mitochondrial genome assembly, especially in cases with relatively low coverage.</p><p><strong>Velvet:</strong> Velvet is a de novo assembly tool that can be applied to mitochondrial genome assembly, especially when working with short-read data.</p><p>When selecting a mitochondrial genome assembly tool, it's important to consider the specific characteristics of your sequencing data, such as read length and coverage, as well as the complexity of the mitochondrial genome. Additionally, some tools are better suited for specific organisms or research objectives, so choosing the right tool will depend on your particular project requirements.</p>]]></description>
	<dc:creator>Abhi</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/12995/national-center-for-bioinformatics-ncb</guid>
  <pubDate>Wed, 23 Jul 2014 14:10:49 -0500</pubDate>
  <link></link>
  <title><![CDATA[National Center for Bioinformatics (NCB)]]></title>
  <description><![CDATA[
<p>NCB is offering M.Phil and Ph.D programs in the area of Bioinformatics. The major goal of NCB is to promote quality training and research in the area of Bioinformatics. Bioinformatics originated as a cross-disciplinary field as the need for computational sections to research problem raised in biomedicine. </p>

<p>More at http://ncb.qau.edu.pk/</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/2756/flu-attack-how-a-virus-invades-your-body</guid>
	<pubDate>Thu, 22 Aug 2013 08:09:51 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/2756/flu-attack-how-a-virus-invades-your-body</link>
	<title><![CDATA[Flu Attack! How A Virus Invades Your Body]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/Rpj0emEGShQ" frameborder="0" allowfullscreen></iframe>When you get the flu, viruses turn your cells into tiny factories that help spread the disease. In this animation, NPR's Robert Krulwich and medical animator David Bolinsky explain how a flu virus can trick a single cell into making a million more viruses.

See and hear the rest of the story on NPR.org: http://www.npr.org/templates/story/story.php?storyId=114075029

Credit: Robert Krulwich, David Bolinsky, Jason Orfanon]]></description>
	
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/13276/senior-research-fellow-at-nit-rourkela</guid>
  <pubDate>Wed, 30 Jul 2014 00:53:13 -0500</pubDate>
  <link></link>
  <title><![CDATA[Senior Research Fellow at NIT, Rourkela]]></title>
  <description><![CDATA[
<p>NATIONAL INSTITUTE OF TECHNOLOGY, ROURKELA – 769 008(ORISSA)<br />SPONSORED RESEARCH, INDUSTRIAL CONSULTANCY &amp; CONTINUING EDUCATION</p>

<p>ADVERTISEMENT NO: NITR/SR/CH-BIF/2014/30</p>

<p>Applications are invited on prescribed format for the following assignment in a purely time bound research project undertaken in the Department of Biotechnology &amp; Medical Engineering of the Institute.</p>

<p>1. Name of the Temporary Post : Senior Research Fellow-01<br />2. Name of the Research Project: “ Bioinformatics Infrastructure Facility (BIF)”<br />3. Name of the Sponsoring Agency: DBT, Government of India, 4 Tenure of the Project : 12th Five year Plan<br />5 Tenure of the Assignment : 01 year [Likely to be extended for 04 more years]<br />6 Job Description : BIF Maintenance and Active Research in Bioinformatics<br />7. Consolidated monthly compensation / Fellowship: Rs.18,000/- P.M.</p>

<p>8. Essential Qualifications and experience: B.Tech with valid GATE Score or M.Tech degree in Biotechnology/Bioinformatics/Computer Science/Computational Biology<br />9. Desirable Qualifications/ Experiences: Experience of Programming in PERL,R, Python, Unix and Visual Studio + Knowledge in NGS data analysis work flows ,WGS and statistical packages such as CRAN-R,MATLAB etc.</p>

<p>10. Accommodation : Bachelor accommodation in the Institute may be provided subject to availability.<br />11. For technical information on the project, the candidate may contact the Principal Investigator at the following address:</p>

<p>Name : Prof. Mukesh K Gupta<br />Address : Dept. of Biotechnology &amp; Medical Engineering,<br />N.I.T.Rourkela-769 008<br />Telephone No : 0661-2462294<br />E-mail : guptam@nitrkl.ac.in</p>

<p>Eligible persons may apply in the prescribed format (available in the Institute Website)affixed with coloured photographs to be submitted in duplicate along with photo copies of relevant certificates, grade/ mark sheets, publications etc., to Asst. Registrar, SRICCE,<br />National Institute of Technology, Rourkela–769 008 before 22.08.2014. The cover should be super- scribed clearly the post applied for &amp; Name of the Project.</p>

<p>Mere possession of minimum qualification does not guarantee invitation to the interview.<br />Candidates will be short listed based on merit and need of the project.</p>

<p>Advertisement:</p>

<p>http://www.nitrkl.ac.in/IntraWeb/Jobs_Tenders/Jobs/ProjectFellowship/2014/141707192838_1.pdf</p>
]]></description>
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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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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/13510/studentship-and-traineeship-in-bioinformatics-at-barkatullah-university-bhopal</guid>
  <pubDate>Thu, 07 Aug 2014 16:57:00 -0500</pubDate>
  <link></link>
  <title><![CDATA[Studentship and Traineeship in Bioinformatics at Barkatullah University, Bhopal]]></title>
  <description><![CDATA[
<p>Department of Biotechnology &amp; Bioinformatics Center<br />Barkatullah University, Bhopal – 462 026</p>

<p>Studentship and Traineeship in Bioinformatics</p>

<p>Applications are invited on plain paper from suitable candidates for Studentship and Traineeship (One each) at Bioinformatics Sub-Center as detailed below:</p>

<p>1. Studentship: Studentship is for those who have completed M. Sc. Degrees in Life Science.</p>

<p>Number of seats : One</p>

<p>Duration : Six months</p>

<p>Eligibility : Passed M.Sc. degree in Life Sciences.</p>

<p>Fellowship : Rs. 5000/- (Five thousand only) per month</p>

<p>2. Traineeship: Traineeship is for those who have completed M. Sc. Degrees in Life Science/Registered Ph. D. student in Life Sciences.</p>

<p>Number of seats : One</p>

<p>Duration : Six months</p>

<p>Eligibility : Passed M.Sc. degree in Life Sciences/ Registered Ph. D. student in Life Sciences</p>

<p>Fellowship : Rs. 5000/- (Five thousand only) per month</p>

<p>Preferences will be given to person who has experience in Bioinformatics and Computer<br />sciences. The application along with detailed bio-data should reach the undersigned, on or before 25th August 2014. Both, the studentship and the traineeship are temporary, will be discontinued after the six months from the date of Joining. It may be discontinued in-between without any notice, if the work is not found satisfactory.</p>

<p>Advertisement www.bioinfobubpl.nic.in/Advertisement_st.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43643/corona-virus-literature</guid>
	<pubDate>Sun, 12 Dec 2021 23:30:56 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43643/corona-virus-literature</link>
	<title><![CDATA[Corona Virus Literature !]]></title>
	<description><![CDATA[<p><span><span>LitCovid</span>&nbsp;is a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus.</span><span>&nbsp;It is the most comprehensive resource on the subject, providing a central access to&nbsp;</span><span>201482</span><span>&nbsp;(and&nbsp;</span><span>growing</span><span>) relevant articles in PubMed. The articles are updated daily and are further categorized by different research topics (e.g.&nbsp;</span><span>Long Covid</span><span>) and geographic locations for improved access. You can learn more at&nbsp;</span><a href="https://www.nature.com/articles/d41586-020-00694-1" target="_blank">Chen et al. Nature</a><span>&nbsp;(2020) or our&nbsp;</span><span>FAQ</span><span>, and download our data&nbsp;</span><a href="https://www.ncbi.nlm.nih.gov/research/coronavirus/#data-download">here</a><span>.</span></p>
<p>https://www.ncbi.nlm.nih.gov/research/coronavirus/</p><p>Address of the bookmark: <a href="https://www.ncbi.nlm.nih.gov/research/coronavirus/" rel="nofollow">https://www.ncbi.nlm.nih.gov/research/coronavirus/</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/14011/dynamic-chromosome-breakpoints</guid>
	<pubDate>Wed, 13 Aug 2014 18:38:10 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/14011/dynamic-chromosome-breakpoints</link>
	<title><![CDATA[Dynamic chromosome breakpoints !!!]]></title>
	<description><![CDATA[<p>Cell division involves the distribution of identical genetic material, DNA, to two daughters&rsquo; cells. During this process, duplicated deoxyribonucleic acid (DNA) goes through a condensation and decondensation process. This is followed by nuclear envelope dissolution, mitotic spindle assembly, migration of the sister chromatid pairs to the metaphase plate, division and segregation of identical sets of chromosomes into daughter nuclei and nuclear envelope reformation.</p><p>The vital metaphase stage of cell division, when the sister chromatids migrated to the centre and lined up in a row, and pulled apart using attached microtubules in such a way that half the DNA ends up in each daughter cell. However, before the mitotic spindle‐mediated movement gets start and pulled DNA apart, the chromosomes are free to undergo <strong>recombination </strong>which involves the exchange of genetic material either between multiple chromosomes or between different regions of the same chromosome.</p><p><img src="http://www.sciencelearn.org.nz/var/sciencelearn/storage/images/contexts/uniquely-me/sci-media/images/chromosomes-crossing-over/464438-1-eng-NZ/Chromosomes-crossing-over.jpg" alt="image" width="504" height="342" style="border: 0px; border: 0px;"></p><p>During recombination, the precise breakage of each strand, exchange between the strands, and sealing of the resulting recombined molecules happens. The &ldquo;<strong>chromosomal breakpoints</strong>&rdquo; refers to these places where they break. Mostly, this process occurs with a high degree of accuracy at high frequency in both eukaryotic and prokaryotic cells. But occasionally this &ldquo;break and sealing/ break and reattach&rdquo; process goes wrong and the reattachment happens in the wrong place which usually create disaster (with few exceptions).These chromosome disaster or abnormalities involve the gain, loss or rearrangement of visible amounts of genetic material during cell division. These abnormalities are of two type, the first one is numerical abnormalities &nbsp;where severe disorders are caused by the loss or gain of whole chromosomes, which affect the copy number of hundreds or even thousands of genes. The second are structural abnormalities which can be unbalanced or balanced. The former are similar to numerical abnormalities in that genetic material is either gained or lost. The natural defects in chromosome segregation are linked to cancer and several genetic diseases (http://en.wikipedia.org/wiki/List_of_genetic_disorders). Therefore, the enzymes involved in regulating cell division are still the attractive drug targets for many diseases.</p><p>&nbsp;</p><p>&nbsp;</p><p><img src="http://upload.wikimedia.org/wikipedia/commons/4/4a/Chromosomal_translocations.svg" alt="image" width="424" height="331" style="border: 0px; border: 0px;"></p><p>&nbsp;</p><p>Apart from certain chromosome abnormalities, these &ldquo;crossing over&rdquo; of segments of maternal and paternal chromosomes to form hybrid chromosomes have some evolutionary importance and considered as a driver of genetic variation. Moreover, the chromosome breakage in evolution is considered to be non-random in nature(http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.0020014). In addition the study of breakpoint regions and non-breakpoint (stable) regions of chromosomes indicates both the regions evolved in distinctly different ways ( http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2675965/). These breakage may lead to genetic diseases or participate to chromosomal rearranmgnets and contributed in development of new species.</p><p>I will try to explain the genome hotspots/Evolutionary Breakpoint Regions(EBRs)/fragile regions/weak fragments/&nbsp; in my next blog.</p><p><strong>Software for recombination detection:</strong></p><p><strong>RAT</strong> http://cbr.jic.ac.uk/dicks/software/RAT/</p><p><strong>Breakpointer</strong> https://github.com/ruping/Breakpointer</p><p><strong>DRP</strong> http://web.cbio.uct.ac.za/~darren/rdp.html</p><p><strong>RB-finder</strong> http://www.ncbi.nlm.nih.gov/pubmed/18707535</p><p><strong>LDhat2.0</strong> http://ldhat.sourceforge.net/LDhat2.0/instructions.shtml</p><p><strong>Reference:</strong></p><p>http://www.nature.com/scitable/topicpage/genetic-recombination-514#</p><p>Image: Wikipedia , sciencelearn.org.nz</p><p><strong>Recommended Articles:</strong></p><p>http://www.friendshipcircle.org/blog/2012/05/22/13-chromosomal-disorders-youve-never-heard-of/</p><p>http://web.udl.es/usuaris/e4650869/docencia/segoncicle/genclin98/recursos_classe_%28pdf%29/revisionsPDF/chromosyndromes.pdf</p><p>http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2775595/table/T2/</p><p>http://learn.genetics.utah.edu/content/disorders/chromosomal/</p><p>http://www.ncert.nic.in/html/learning_basket/biology/cc&amp;cd.pdf</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44628/uncovar-workflow-for-transparent-and-robust-virus-variant-calling-genome-reconstruction-and-lineage-assignment</guid>
	<pubDate>Mon, 05 Aug 2024 23:01:29 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44628/uncovar-workflow-for-transparent-and-robust-virus-variant-calling-genome-reconstruction-and-lineage-assignment</link>
	<title><![CDATA[UnCoVar: Workflow for Transparent and Robust Virus Variant Calling, Genome Reconstruction and Lineage Assignment]]></title>
	<description><![CDATA[<p>UnCoVar: Workflow for Transparent and Robust Virus Variant Calling, Genome Reconstruction and Lineage Assignment</p>
<ul>
<li>
<p>Using state of the art tools, easily extended for other viruses</p>
</li>
<li>
<p>Tool and database updates for critical components via Conda</p>
</li>
<li>
<p>Built using modern design patterns with Conda and Snakemake</p>
</li>
<li>
<p>Extensible and easy to customize</p>
</li>
<li>
<p>Submission Ready Genomes</p>
</li>
<li>
<p>Customizable reporting with comprehensive visualization</p>
</li>
</ul>
<p>https://ikim-essen.github.io/uncovar/</p>
<p>Github&nbsp;https://github.com/IKIM-Essen/uncovar</p>
<p>&nbsp;</p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="https://ikim-essen.github.io/uncovar/" rel="nofollow">https://ikim-essen.github.io/uncovar/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/14183/guest-faculty-at-pondicherry-university</guid>
  <pubDate>Wed, 20 Aug 2014 00:37:57 -0500</pubDate>
  <link></link>
  <title><![CDATA[Guest Faculty at Pondicherry University]]></title>
  <description><![CDATA[
<p>Pondicherry University, India</p>

<p>Walk in interview for guest faculty in Pondicherry University, India. For more information please visit http://www.bicpu.edu.in/bioinfor140814.pdf</p>
]]></description>
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