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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/31345?offset=1020</link>
	<atom:link href="https://bioinformaticsonline.com/related/31345?offset=1020" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43427/ogdraw-draw-organelle-genome-maps</guid>
	<pubDate>Tue, 05 Oct 2021 03:34:35 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43427/ogdraw-draw-organelle-genome-maps</link>
	<title><![CDATA[OGDRAW - Draw Organelle Genome Maps]]></title>
	<description><![CDATA[<p>OrganellarGenomeDRAW converts annotations in the&nbsp;<a href="https://www.ncbi.nlm.nih.gov/genbank/">GenBank</a>&nbsp;or&nbsp;<a href="https://www.ebi.ac.uk/ena">EMBL/ENA</a>&nbsp;format into graphical maps. The input has to be a&nbsp;<a href="https://www.ncbi.nlm.nih.gov/Sitemap/samplerecord.html">GenBank&nbsp;</a>or&nbsp;<a href="https://www.ebi.ac.uk/ena/submit/flat-file">EMBL/ENA flat file</a>&nbsp;wherase the output can vary among several types of files. The application is optimized to create detailed high-quality maps of organellar genomes (plastid and mitochondria). Nevertheless, you can upload most<span style="color: #0b0118;">&nbsp;database</span>&nbsp;entries.</p>
<p>&nbsp;</p>
<p>Please take a look at our&nbsp;<a href="https://chlorobox.mpimp-golm.mpg.de/OGDraw-FAQ.html">FAQ section</a>&nbsp;and do not hesitate to report bugs or suggestions for improvements by&nbsp;<a href="mailto:chlorobox@mpimp-golm.mpg.de?subject=OGDRAW">email</a>.</p><p>Address of the bookmark: <a href="https://chlorobox.mpimp-golm.mpg.de/OGDraw.html" rel="nofollow">https://chlorobox.mpimp-golm.mpg.de/OGDraw.html</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/9029/syntax-for-secure-copy-scp</guid>
	<pubDate>Thu, 13 Mar 2014 17:01:32 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/9029/syntax-for-secure-copy-scp</link>
	<title><![CDATA[Syntax for Secure Copy (scp)]]></title>
	<description><![CDATA[<div><p>In our day to day research activity, we need to securely copy our data from several to local computer and visa-versa. I am jotting down some of the commonly used SCP command for your future help. Hope you all will like it</p><p>What is Secure Copy?<br /><br />scp allows files to be copied to, from, or between different hosts. It uses ssh for data transfer and provides the same authentication and same level of security as ssh.</p><p><br />Examples</p><p><br /><strong>Copy the file "gene.txt" from a remote host to the local host</strong><br /><br />&nbsp;&nbsp;&nbsp; $ scp your_username@remotehost.edu:gene.txt /some/local/directory<br /><br /><strong>Copy the file "foobar.txt" from the local host to a remote host</strong><br /><br />&nbsp;&nbsp;&nbsp; $ scp gene.txt your_username@remotehost.edu:/some/remote/directory<br /><br /><strong>Copy the directory "chromosome" from the local host to a remote host's directory "bar"</strong><br /><br />&nbsp;&nbsp;&nbsp; $ scp -r chromosome your_username@remotehost.edu:/some/remote/directory/bar<br /><br /><strong>Copy the file "gene.txt" from remote host "rh1.edu" to remote host "rh2.edu"</strong><br /><br />&nbsp;&nbsp;&nbsp; $ scp your_username@rh1.edu:/some/remote/directory/gene.txt \<br />&nbsp;&nbsp;&nbsp; your_username@rh2.edu:/some/remote/directory/<br /><br /><strong>Copying the files "gene.txt" and "cancer.txt" from the local host to your home directory on the remote host</strong><br /><br />&nbsp;&nbsp;&nbsp; $ scp gene.txt cancer.txt your_username@remotehost.edu:~<br /><br /><strong>Copy the file "gene.txt" from the local host to a remote host using port 2264</strong><br /><br />&nbsp;&nbsp;&nbsp; $ scp -P 2264 gene.txt your_username@remotehost.edu:/some/remote/directory<br /><br /><strong>Copy multiple files from the remote host to your current directory on the local host</strong><br /><br />&nbsp;&nbsp;&nbsp; $ scp your_username@remotehost.edu:/some/remote/directory/\{a,b,c\} .<br /><br />&nbsp;&nbsp;&nbsp; $ scp your_username@remotehost.edu:~/\{gene.txt,cancer.txt\} .<br /><br /><strong>scp Performance</strong><br /><br />By default scp uses the Triple-DES cipher to encrypt the data being sent. Using the Blowfish cipher has been shown to increase speed. This can be done by using option -c blowfish in the command line.<br /><br />&nbsp;&nbsp;&nbsp; $ scp -c blowfish some_file your_username@remotehost.edu:~<br /><br />It is often suggested that the -C option for compression should also be used to increase speed. The effect of compression, however, will only significantly increase speed if your connection is very slow. Otherwise it may just be adding extra burden to the CPU. An example of using blowfish and compression:<br /><br />&nbsp;&nbsp;&nbsp; $ scp -c blowfish -C local_file your_username@remotehost.edu:~</p></div>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43714/hiv-genome-database</guid>
	<pubDate>Fri, 21 Jan 2022 05:40:15 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43714/hiv-genome-database</link>
	<title><![CDATA[HIV genome database !]]></title>
	<description><![CDATA[<p>HIV resources</p>
<p>https://www.hiv.lanl.gov/components/sequence/HIV/search/search.html</p><p>Address of the bookmark: <a href="https://www.hiv.lanl.gov/components/sequence/HIV/search/search.html" rel="nofollow">https://www.hiv.lanl.gov/components/sequence/HIV/search/search.html</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/10391/research-associate-ra-at-iob</guid>
  <pubDate>Mon, 05 May 2014 08:38:54 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Associate (RA) at IOB]]></title>
  <description><![CDATA[
<p>Applications are invited for a post of Research Associate (RA) or Senior Research Fellow (SRF) in the ICMR project on "Integrated Analysis of Multi-omics Data in Human Gliomas".</p>

<p>We are looking for a motivated candidate for handling proteomic and/or transcriptomic and other data with a strong background in bioinformatics tools and database development. The project will include identification of novel peptides from mass spectrometry-based proteomic data.</p>

<p>Familiarity with statistical tools or wet lab experience will be an added advantage. The position is open for immediate appointment and available for two years. The applicant will be appointed as Research Associate or Senior Research Fellow based on qualifications as detailed below:</p>

<p>Research Associate: Ph.D. in Biological Science or Bioinformatics with relevant publications in peer reviewed journals. Familiarity with bioinformatics tools, database development, programming skills and proteomic and/or other omics data analysis. Salary will be as per ICMR rules and guidelines.</p>

<p>Senior Research Fellow: M.Sc./B.Tech. in any branch of biology/ biotechnology/bioinformatics, with minimum 2 years of research experience (essential). Familiarity with bioinformatics tools, database development, programming skills and proteomic data analysis. Salary will be as per ICMR rules and guidelines.</p>

<p>Application will be shortlisted based on CV, reference letters from mentors and telephonic interview. Candidates will be called for a personal interview at Bangalore before appointment. No travel expense will be provided for attending interview at Bangalore.</p>

<p>Interested candidates may send a Letter of Interest and CV by email to: ravi@ibioinformatics.org on or before May 15th, 2014.</p>

<p>Contact:<br />Dr. Ravi Sirdeshmukh<br />Distinguished Scientist &amp; Associate Director, IOB,<br />Principal Advisor MSMC/MSCTR</p>

<p>Advertisement: www.ibioinformatics.org/careers.php</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43909/human-complete-genome</guid>
	<pubDate>Wed, 06 Jul 2022 06:42:55 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43909/human-complete-genome</link>
	<title><![CDATA[Human Complete Genome]]></title>
	<description><![CDATA[<h1 dir="auto">Telomere-to-telomere consortium</h1>
<p dir="auto">We have sequenced the CHM13hTERT human cell line with a number of technologies. Human genomic DNA was extracted from the cultured cell line. As the DNA is native, modified bases will be preserved. The data includes 30x&nbsp;<a href="https://www.pacb.com/">PacBio</a>&nbsp;<a href="https://www.ncbi.nlm.nih.gov/sra/?term=SRX789768*+CHM13">HiFi</a>, 120x coverage of&nbsp;<a href="https://nanoporetech.com/">Oxford Nanopore</a>, 70x&nbsp;<a href="https://www.pacb.com/">PacBio</a>&nbsp;CLR, 50x&nbsp;<a href="https://www.10xgenomics.com/">10X Genomics</a>, as well as&nbsp;<a href="https://bionanogenomics.com/technology/dls-technology/">BioNano DLS</a>&nbsp;and&nbsp;<a href="https://arimagenomics.com/kit/">Arima Genomics HiC</a>. Most raw data is available from this site, with the exception of the PacBio data which was generated by the University of Washington/PacBio and is available from&nbsp;<a href="https://www.ncbi.nlm.nih.gov/sra?linkname=bioproject_sra_all&amp;from_uid=269593">NCBI SRA</a>.</p>
<p dir="auto">A UCSC browser is available for&nbsp;<a href="https://genome.ucsc.edu/h/GCA_009914755.4">v2.0</a>&nbsp;(as well as legacy&nbsp;<a href="http://genome.ucsc.edu/cgi-bin/hgTracks?genome=t2t-chm13-v1.0&amp;hubUrl=http://t2t.gi.ucsc.edu/chm13/hub/hub.txt">v1.0</a>&nbsp;and&nbsp;<a href="http://genome.ucsc.edu/cgi-bin/hgTracks?genome=t2t-chm13-v1.1&amp;hubUrl=http://t2t.gi.ucsc.edu/chm13/hub/hub.txt">v1.1</a>&nbsp;versions). An interactive dotplot visualization of all genomic repeats is also available from&nbsp;<a href="https://resgen.io/paper-data/T2T-Nurk-et-al-2021/views/t2t-identity-v2">resgen.io</a>. Known issues identified in the assembly are tracked at&nbsp;<a href="https://github.com/marbl/CHM13-issues">CHM13 issues</a>.</p>
<p dir="auto">&nbsp;</p>
<p dir="auto">MORE at&nbsp;https://github.com/marbl/CHM13</p><p>Address of the bookmark: <a href="https://www.science.org/doi/10.1126/science.abj6987" rel="nofollow">https://www.science.org/doi/10.1126/science.abj6987</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/9441/jrf-at-gautam-buddha-university</guid>
  <pubDate>Thu, 27 Mar 2014 03:53:57 -0500</pubDate>
  <link></link>
  <title><![CDATA[JRF at Gautam Buddha University]]></title>
  <description><![CDATA[
<p>Gautam Buddha University (GBU) Noida invites applications for the follow posts<br />2014 March Advertisement from Gautam Buddha University (GBU)<br />Junior Research Fellow (JRF)<br />No. of Positions:  01<br />Educational Qualifications:<br />Master degree in any discipline of Life Science with NET qualified or valid GATE score. Desirable Qualification: Preference will be given to candidates having research experience in Bioinformatics<br />Experience:</p>

<p>(details of experience required)<br />Pay Scale:<br />INR Rs.12000/-P.M. + HRA<br />Category:<br />Science and Research Jobs<br />How To Apply:<br />The interested candidates should report for the Interview on 31st<br />March, 2014 at 10:00 am in the Conference Room of Dean, School of Biotechnology, First floor, Gautam Buddha University, Greater<br />Noida. Interested candidates may also send their resume to undersigned by post-mail/e-mail shaktis@gbu.ac.in or shaktisahi@gmail.com. No TA and DA will be paid for appearing for the interview<br />Download Official Notification:</p>

<p>http://www.gbu.ac.in/Recruitment/JRF_advertisement_DSTProject_Shakti_24March14.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44491/cgviewjs-is-a-circular-genome-viewing-tool</guid>
	<pubDate>Wed, 27 Mar 2024 11:16:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44491/cgviewjs-is-a-circular-genome-viewing-tool</link>
	<title><![CDATA[CGView.js is a Circular Genome Viewing tool]]></title>
	<description><![CDATA[<p>CGView.js is a&nbsp;<span>C</span>ircular&nbsp;<span>G</span>enome&nbsp;<span>View</span>ing tool for visualizing and interacting with small genomes. This software is an adaptation of the Java program&nbsp;<a href="https://paulstothard.github.io/cgview/">CGView</a>.</p>
<div>
<p>CGView.js is the genome viewer of Proksee, an expert system for genome assembly, annotation and visualization.</p>
<a href="https://proksee.ca/"></a></div>
<h1 id="features">Features</h1>
<ul>
<li>
<p>Circular and linear views of genomes</p>
</li>
<li>
<p>Capable of drawing genomes up to 10 Mbp with 1000's of features and 100's contigs</p>
</li>
<li>
<p>Smooth zooming down to the sequence level</p>
</li>
<li>
<p>Easily generate features and plots directly form the sequence (e.g. ORFs, GC-content and GC-Skew)</p>
</li>
<li>
<p>Save high resolution PNG maps up to 8000x8000px</p>
</li>
<li>
<p>Fully documented API for interacting with CGView.js maps</p>
</li>
</ul><p>Address of the bookmark: <a href="https://js.cgview.ca/" rel="nofollow">https://js.cgview.ca/</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/9598/junior-research-fellowship-at-gb-pant-university</guid>
  <pubDate>Thu, 03 Apr 2014 12:29:46 -0500</pubDate>
  <link></link>
  <title><![CDATA[Junior Research Fellowship at G.B. PANT UNIVERSITY]]></title>
  <description><![CDATA[
<p>DEPARTMENT OF MOLECULAR BIOLOGY &amp; GENETIC ENGINEERING<br />COLLEGE OF BASIC SCIENCE AND HUMANITIES<br />G.B. PANT UNIVERSITY OF AGRICULTURE AND TECHNOLOGY<br />PANTNAGAR -263145, UTTARAKHAND</p>

<p>No. CBSH/MBGE/356</p>

<p>Subject: Advertisement for the award of Junior Research Fellowship.</p>

<p>Applications are invited for award of one Junior Research Fellowship on a consolidated fellowship of Rs. 12,000/- pm in the project “Bioinformatics Sub-DIC ”, under the Coordinatorship Dr. Anil Kumar. The fellowship is purely temporary and may continue till the duration of the project or maximum three years which ever is earlier. The appointment shall be given on six monthly review basis.</p>

<p>ESSENTIAL QUALIFICATION</p>

<p>M.Sc. Bioinformatics having research experience on In silico experimentation.</p>

<p>Candidates possessing the above qualifications may submit their application on<br />plain paper in the following format to the undersigned latest 18 April, 2014 the interviews will be held on 19 April, 2014 at 11.00 AM in the office of the undersigned. No separate letter for interview will be issued or any TA/DA will be paid for attending the interview.</p>

<p>Advertisement: http://www.gbpuat.ac.in/01042014_18april14_Advertisement%20for%20JRF%20Position,%20BI.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44754/early-genome-screening-the-new-health-horoscope</guid>
	<pubDate>Thu, 02 Jan 2025 19:44:36 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44754/early-genome-screening-the-new-health-horoscope</link>
	<title><![CDATA[Early Genome Screening: The New Health Horoscope!]]></title>
	<description><![CDATA[<p>In an era where precision medicine is reshaping healthcare, genome screening is emerging as the modern equivalent of a health horoscope. It offers insights into our biological "stars," unraveling predispositions to various conditions and empowering individuals with knowledge to navigate their health journeys proactively. But how reliable is this "horoscope," and how does it impact our lives?</p><h3>Understanding Genome Screening</h3><p>Genome screening involves analyzing an individual's DNA to identify genetic variations that may influence health and disease susceptibility. This can range from simple single-gene tests to comprehensive whole-genome sequencing. By peering into our genetic blueprint, we can uncover risks for conditions like cancer, diabetes, cardiovascular diseases, and even rare genetic disorders.</p><p>The process is straightforward: a saliva or blood sample is collected, and advanced sequencing technologies decipher the genetic code. The results provide a personalized health map, guiding lifestyle modifications, preventive measures, or medical interventions.</p><h3>A Shift from Reactive to Proactive Healthcare</h3><p>Traditional healthcare often focuses on treating diseases after they manifest. Genome screening flips this model on its head, enabling a shift toward prevention and early intervention. For instance:</p><ul>
<li>
<p><strong>Cancer Risk Management</strong>: Individuals with BRCA1 or BRCA2 gene mutations can opt for enhanced screening programs or preventive surgeries to mitigate their risk of breast and ovarian cancers.</p>
</li>
<li>
<p><strong>Cardiovascular Health</strong>: Genetic predispositions to conditions like familial hypercholesterolemia can prompt early cholesterol monitoring and lifestyle adjustments.</p>
</li>
<li>
<p><strong>Rare Diseases</strong>: Identifying carriers of genetic disorders can aid in family planning and reduce the incidence of inherited conditions.</p>
</li>
</ul><h3>The Ethical and Practical Concerns</h3><p>While genome screening offers incredible promise, it is not without challenges:</p><ol>
<li>
<p><strong>Accuracy and Interpretation</strong>: Genetic predisposition does not guarantee disease. Misinterpretation of results can lead to unnecessary anxiety or unwarranted medical interventions.</p>
</li>
<li>
<p><strong>Privacy and Data Security</strong>: Genetic data is highly sensitive. Ensuring robust data protection measures is crucial to prevent misuse.</p>
</li>
<li>
<p><strong>Accessibility and Equity</strong>: High costs and limited availability may restrict access to genome screening, exacerbating health disparities.</p>
</li>
</ol><h3>Balancing Science and Pseudoscience</h3><p>The comparison of genome screening to horoscopes isn&rsquo;t entirely unfounded. Both offer predictive insights, but the scientific foundation of genome screening distinguishes it from astrology. Unlike the alignment of celestial bodies, genetic predictions are based on rigorous data and evidence. However, the probabilistic nature of genetic predispositions underscores the importance of interpreting results in conjunction with clinical and lifestyle factors.</p><h3>The Road Ahead</h3><p>As genome screening becomes more affordable and integrated into routine healthcare, its potential to transform lives is immense. Policymakers, healthcare providers, and genetic counselors must collaborate to ensure ethical implementation, public awareness, and equitable access.</p><p>Imagine a future where your genetic "horoscope" is a trusted guide, not just a prediction. Early genome screening could help chart a healthier path for generations, making it a cornerstone of personalized medicine. After all, our genes might just hold the key to unlocking a future of better health and well-being.</p><p>&nbsp;</p>]]></description>
	<dc:creator>LEGE</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/9859/bioinformatics-jrfsrf-position-at-university-of-hyderabad</guid>
  <pubDate>Tue, 15 Apr 2014 20:07:52 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics JRF/SRF position at University of Hyderabad]]></title>
  <description><![CDATA[
<p>UNIVERSITY OF HYDERABAD SCHOOL OF LIFE SCIENCES </p>

<p>Applications are invited from qualified individuals for a JRF/SRF position (sponsored by DBT/DST) at Prof. Jagan Pongubala’s laboratory, University of Hyderabad. Dr. Pongubala’s laboratory is investigating the molecular pathways that control the development of innate and adaptive immune cell types utilizing a combination of genetic, molecular and computational approaches.</p>

<p>JRF/SRF</p>

<p>Masters degree in Bioinformatics  (M.Sc./M.Tech.)</p>

<p>Rs. 12,000+HRA<br />Rs. 16,000+HRA</p>

<p>Initial appointment is for one year and  subjected to renewal up to 2 years</p>

<p>Candidates selected for the above position would have a choice to work on computational biology or experimental  biology. Candidates interested to work on computational biology are expected to perform high-throughput sequencing  (NGS) data analysis and should have a strong background in Bioinformatics &amp; Computational Biology, good  programming skills particularly Perl, Python, R and work experience in Linux environment.</p>

<p>Candidates interested to work on experimental biology should have work experience in techniques that are routinely  used in molecular biology and mammalian cell culture. A basic knowledge of bioinformatics is also desired. </p>

<p>Applicants for the above positions should have a Masters degree (M.Tech/M.Sc) with an aggregate marks greater  than 70% or a 7.5 CGPA. Candidates having JRF-fellowship through CSIR/UGC/ICMR/DBT will be encouraged  to enroll into Ph.D. program. The interested candidates having excellent organizational skills and the ability to work  in a team environment with an aspiration to learn new techniques and explore new scientific areas are requested to generate their resume using the link https://cvmkr.com/CV/new#0 and forward to pongubalajagan@gmail.com</p>

<p>Review of applications will begin immediately and continue until the position is filled. Eligible candidates will be called for an interview. No TA/ DA will be paid for attending the interview or at the time of joining the post. Applicants should note that the appointment is purely temporary and subjected to renewal up to three years and there is no Right to Claim for any regular appointment with the University.</p>

<p>Corresponding address: Jagan Pongubala, Ph.D.<br />Department of Animal Sciences<br />School of Life Sciences, Room:S44<br />University of Hyderabad<br />Gachibowli, Hyderabad 500046</p>

<p>Advertisement: https://www.uohyd.ac.in/images/recruitment/jrf-srf_130414.pdf</p>
]]></description>
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