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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/18749?offset=290</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41689/medaka-sequence-correction-provided-by-ont-research</guid>
	<pubDate>Mon, 18 May 2020 16:28:00 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41689/medaka-sequence-correction-provided-by-ont-research</link>
	<title><![CDATA[medaka: Sequence correction provided by ONT Research]]></title>
	<description><![CDATA[<p><code>medaka</code><span>&nbsp;is a tool to create a consensus sequence from nanopore sequencing data. This task is performed using neural networks applied from a pileup of individual sequencing reads against a draft assembly. It outperforms graph-based methods operating on basecalled data, and can be competitive with state-of-the-art signal-based methods, whilst being much faster.</span></p><p>Address of the bookmark: <a href="https://github.com/nanoporetech/medaka" rel="nofollow">https://github.com/nanoporetech/medaka</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42793/fully-funded-position-as-phd-research-fellow-in-genomicsbioinformatics</guid>
  <pubDate>Wed, 03 Feb 2021 04:18:57 -0600</pubDate>
  <link></link>
  <title><![CDATA[Fully funded position as PhD Research Fellow in genomics/bioinformatics]]></title>
  <description><![CDATA[
<p>A fully funded position as PhD Research Fellow in genomics/bioinformatics is available at the Section for Genetics and Evolutionary Biology (EVOGENE) at the Department of Biosciences, University of Oslo.</p>

<p>The fellowship will be for a period of 3 years, or for a period of 4 years, with 25 % compulsory work (e.g. teaching responsibilities at the department) contingent on the qualifications of the candidate and the teaching needs of the department.</p>

<p>Starting date no later than October 1, 2021.</p>

<p>More at https://www.jobbnorge.no/en/available-jobs/job/199984/phd-research-fellow-in-genomics-and-bioinformatics</p>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/43788/fulbright-kalam-postdoctoral-research-scholarships-for-indians</guid>
  <pubDate>Tue, 15 Feb 2022 04:27:22 -0600</pubDate>
  <link></link>
  <title><![CDATA[Fulbright-Kalam Postdoctoral Research Scholarships for Indians]]></title>
  <description><![CDATA[
<p>These fellowships are designed for Indian faculty and researchers who are in the early stages of their research careers in India. Fulbright-Kalam Climate Fellowships will provide opportunities to talented faculty and researchers to strengthen their research capacities. Postdoctoral fellows will have access to some of the finest resources in their areas of interest and will help build long-term collaborative relationships with U.S. faculty and institutions. These fellowships are for eight to 24 months.</p>

<p>Affiliation<br />The selected candidate will be affiliated to one U.S. host institution.</p>

<p>USIEF strongly recommends all applicants to identify institutions with which they wish to be affiliated, and to correspond, in advance, with potential host institutions. If the applicant has secured a letter of invitation from a U.S. institution, it should be included as a part of the online application. The letter of invitation should indicate the duration of visit, preferably with dates.</p>

<p>Grant Benefits</p>

<p>These fellowships provide J-1 visa support, a monthly stipend, Accident and Sickness Program for Exchanges per U.S. Government guidelines, round-trip economy class air travel between India and the U.S., a modest settling-in allowance, and a professional allowance.</p>

<p>Subject to availability of funds, a dependent allowance and international travel may be provided for one accompanying eligible dependent provided the dependent is with the grantee in the U.S. for at least 80 per cent of the grant period. Flex grantees are not eligible for dependent benefits.</p>

<p>Eligibility Requirements</p>

<p>In addition to the General Prerequisites:</p>

<p>Applicants must have a Ph.D. degree within the past four years. S/he must have obtained a Ph.D. degree between September 15, 2018 and September 14, 2022. The applicants are required to upload his/her Ph.D. degree certificate/provisional Ph.D. certificate on the online application;<br />Applicants must have a publication in reputed journals and demonstrate evidence of superior academic and professional achievement. S/he must upload a recent significant publication (copy of paper/article) on the online application (not exceeding 30 pages); and<br />If applicant is employed, please follow the instructions carefully regarding employer’s endorsement. If applicable, obtain the endorsement from the appropriate administrative authority on the Letter of Support from Home Institution. The employer must indicate that leave will be granted for the fellowship period. The applicant can download the Letter of Support from Home Institution from the USIEF website. Candidates working under government-funded projects are also required to get endorsement from their affiliating institutions in India.</p>

<p>How to Apply</p>

<p>Applications must be submitted online at: https://apply.iie.org/fvsp2023/</p>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44760/the-future-of-bioinformatics-innovations-and-opportunities</guid>
	<pubDate>Mon, 20 Jan 2025 12:44:53 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44760/the-future-of-bioinformatics-innovations-and-opportunities</link>
	<title><![CDATA[The Future of Bioinformatics: Innovations and Opportunities]]></title>
	<description><![CDATA[<p>Bioinformatics, the interdisciplinary field that merges biology, computer science, and statistics, has transformed the way we understand biological systems. As we stand at the cusp of a new era in scientific discovery, the future of bioinformatics promises even greater advancements, powered by cutting-edge technologies and a growing understanding of life&rsquo;s complexities.</p><h4>1. Big Data and Bioinformatics</h4><p>The exponential growth in biological data, driven by advancements in sequencing technologies and high-throughput experiments, has made bioinformatics an indispensable tool. By 2030, we anticipate:</p><ul>
<li>
<p><strong>Petabyte-Scale Data Management</strong>: Enhanced storage solutions and cloud computing platforms will allow researchers to handle the vast amounts of data generated from omics studies, including genomics, transcriptomics, and proteomics.</p>
</li>
<li>
<p><strong>AI and Machine Learning Integration</strong>: Sophisticated algorithms will uncover patterns and relationships in large datasets, enabling predictions about gene function, disease susceptibility, and therapeutic outcomes.</p>
</li>
</ul><h4>2. Personalized Medicine and Genomics</h4><p>Bioinformatics will play a pivotal role in tailoring healthcare to individual patients. Key developments include:</p><ul>
<li>
<p><strong>Whole-Genome Sequencing in Clinics</strong>: The decreasing cost of sequencing will make it routine in medical diagnostics, enabling personalized treatment plans based on an individual&rsquo;s genetic makeup.</p>
</li>
<li>
<p><strong>Drug Repurposing and Development</strong>: Computational tools will identify potential new uses for existing drugs, accelerating the development of targeted therapies.</p>
</li>
</ul><h4>3. Advancing Computational Tools</h4><p>The future will see the development of more user-friendly and powerful bioinformatics tools:</p><ul>
<li>
<p><strong>Graph-Based Approaches</strong>: Enhanced algorithms for analyzing complex biological networks, such as protein-protein interaction maps.</p>
</li>
<li>
<p><strong>Visualization Tools</strong>: Intuitive software for visualizing multi-dimensional data, enabling researchers to interpret findings more effectively.</p>
</li>
</ul><h4>4. Synthetic Biology and Systems Biology</h4><p>Bioinformatics will continue to drive progress in synthetic and systems biology by:</p><ul>
<li>
<p><strong>Gene Circuit Design</strong>: Leveraging computational models to design and simulate synthetic biological systems.</p>
</li>
<li>
<p><strong>Understanding Cellular Pathways</strong>: Integrating multi-omics data to model cellular processes with unprecedented accuracy.</p>
</li>
</ul><h4>5. Bioinformatics in Agriculture and Environmental Science</h4><p>Beyond healthcare, bioinformatics will revolutionize agriculture and environmental conservation:</p><ul>
<li>
<p><strong>Crop Improvement</strong>: Genomic studies will help develop high-yield, disease-resistant, and climate-resilient crops.</p>
</li>
<li>
<p><strong>Microbial Ecology</strong>: Metagenomics will enhance our understanding of microbial communities, aiding in bioremediation and ecosystem management.</p>
</li>
</ul><h4>6. Democratization of Bioinformatics</h4><p>Open-source software and accessible education will broaden participation in bioinformatics research:</p><ul>
<li>
<p><strong>Community-Driven Projects</strong>: Collaborative platforms like GitHub will continue to foster innovation in tool development.</p>
</li>
<li>
<p><strong>Education and Training</strong>: Online courses and workshops will bridge skill gaps, enabling researchers from diverse backgrounds to contribute.</p>
</li>
</ul><h4>Challenges and Ethical Considerations</h4><p>While the future is bright, challenges remain. Data privacy and ethical concerns surrounding genetic information require careful navigation. Furthermore, addressing the digital divide is critical to ensuring equitable access to bioinformatics resources globally.</p><h4>Conclusion</h4><p>The future of bioinformatics is boundless, with opportunities to revolutionize our understanding of life and improve human health. As technologies evolve and collaborations flourish, bioinformatics will undoubtedly remain at the forefront of scientific discovery, unlocking the secrets of life one dataset at a time.</p>]]></description>
	<dc:creator>BioStar</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/39472/louisiana-biomedical-research-network-summer-bioinformatics-training-program</guid>
	<pubDate>Wed, 05 Jun 2019 15:30:01 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/39472/louisiana-biomedical-research-network-summer-bioinformatics-training-program</link>
	<title><![CDATA[Louisiana Biomedical Research Network: Summer Bioinformatics Training Program]]></title>
	<description><![CDATA[<p><img src="https://edu.t-bio.info/wp-content/uploads/2019/06/LBRN-Summer-Program1-CCT.jpg" alt="2019 summer bioinformatics training program" width="600" height="337.5" style="border: 0px;"></p><p>Louisiana Biomedical Research Network (LBRN) announces registration for it's Summer 2019 Bioinformatics Training Program. The program will be focused on processing, analysis and interpretation of next generation sequecning data for biologists. Learn more:</p><p>https://edu.t-bio.info/louisiana-biomedical-research-network-summer-2019-lbrn-bioinformatics-training-program/</p>]]></description>
	<dc:creator>eliabrodsky</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40959/bioinformatics-related-group</guid>
	<pubDate>Sun, 09 Feb 2020 03:17:16 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40959/bioinformatics-related-group</link>
	<title><![CDATA[Bioinformatics related group]]></title>
	<description><![CDATA[<p>FaBI emerged from the respective groups of the four founding societies GI (German Informatics Society), DECHEMA (Society for Chemical Engineering and Biotechnology), GBM (Society for Biochemistry and Molecular Biology) and GDCh (German Chemical Society). In fall 2015, the GMDS (German Society for Medical Informatics, Biometry, and Epidemiology) joined FaBI. FaBI represents more than 750 members today and considers itself as a joint representation of interests of bioinformatics research in Germany and as an interlocutor for politics, economy, and society aiming at a strong informatics-based life science research.</p><p>Address of the bookmark: <a href="https://bioinformatik.de/en/bioinformatics-in-germany/research/research-groups.html" rel="nofollow">https://bioinformatik.de/en/bioinformatics-in-germany/research/research-groups.html</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/44400/pevzner-lab</guid>
  <pubDate>Thu, 02 Nov 2023 05:39:26 -0500</pubDate>
  <link></link>
  <title><![CDATA[Pevzner Lab !]]></title>
  <description><![CDATA[
<p>The laboratory works on genome sequencing, immunoproteogenomics, antibiotics sequencing, and comparative genomics - computational technologies that enabled new applications and allowed scientists to attack biological problems that remained beyond the reach of previous techniques.</p>

<p>https://bioalgorithms.ucsd.edu/research4.html</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/38257/bioinformatics-programme-officer-international-centre-for-genetic-icgeb-engineering-and-biotechnology</guid>
  <pubDate>Fri, 23 Nov 2018 03:50:16 -0600</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Programme Officer @ International Centre for Genetic ICGEB Engineering and Biotechnology]]></title>
  <description><![CDATA[
<p>The following vacancies are available in the DBT Apex Biotechnology Information project at ICGEB, New Delhi, India. These positions are available for a period of approx. two years, however, initial appointment offer will be for 6 months, which will be extended based on performance of work. Salaries will be offered as per DBT, educational qualification and experience. Depending on requirements, selected candidates may be required to work on location from the Department of Biotechnology, New Delhi. Shortlisted candidates will be invited for an interview at ICGEB. Only the selected candidates will be informed individually. No TA/DA or accommodation will be offered to the candidates attending the interview. </p>

<p>4 Programme Officer 1 <br />5 Technical Research Assistant 1 </p>

<p>Minimum Educational Qualification, desirable experience and expected duties: </p>

<p>4: The applicants should be Postgraduates with experience in Data collection and Statistics, especially in Biotechnology-related data. </p>

<p>Expected duties: Collection of Biotechnology related information from India, to facilitate the Apex BTIC experts committee review of programmes at centres and R&amp;D programs funded by DBT. </p>

<p>5: The applicants should be Postgraduates in Science with experience in Bioinformatics-related projects. <br />Expected duties: The candidates will assist the senior staff of the centre in daily activities and help in the preparation of the Annual Training Calendar, seminar and training podcasts/videos, repository of training material and Apex BTIC Newsletter. </p>

<p>Interested candidates should submit their full, updated Curriculum Vitae with a detailed description of relevant experience, along with two references by December 14th, 2018, addressed to, The Chairperson, DBT- Apex BTIC, ICGEB, Aruna Asaf Ali Marg, New Delhi 110067, Email: abtic@icgeb.res.in, kindly write “Application for DBT Apex BTIC vacancy” in the subject of the email or envelope, if sending by post.</p>

<p>Advertisement: http://www.icgeb.org/tl_files/Vacancies/dbt-abtic-vac-annmntrevsk.pdf</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28286/nipgr-hires-research-associate-jrf-laboratory-assistant</guid>
  <pubDate>Mon, 04 Jul 2016 20:12:14 -0500</pubDate>
  <link></link>
  <title><![CDATA[NIPGR Hires Research Associate, JRF, Laboratory Assistant]]></title>
  <description><![CDATA[
<p>National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg - Delhi, Delhi <br />₹15,000 a month<br />National Institute of Plant Genome Research (NIPGR) invites applications to recruit on vacant posts of Research Associate (RA), Junior Research Fellow (JRF) and Laboratory Assistant. Applications against these Sarkari Naukri can be submitted on or before 16 July 2016. <br />NIPGR Vacancy 2016 Details <br />1. Research Associate (RA) <br />Qualification: Ph.D. degree (awarded) in Molecular Biology/Biotechnolgy/Biochemistry/Plant Science/ Life Sciences/Bioinformatics or related field with 03 years post-doctoral research experience or 02 research papers in the journals of International repute are eligible to apply. Experience in the area of functional genomics, proteomics, metabolomics, multiomics and system biology will be preferred. <br />Age Limit: As Per Rules <br />2. Junior Research Fellow (JRF) <br />Qualification: M.Sc. degree or equivalent in Biotechnolgy/Biochemistry/Plant Science or Botany/ Life Sciences/Bioinformatics/ Molecular Biology or any other related field. Experience in advanced multiomics, big data analysis, molecular and system biology techniques will be given preference. <br />Age Limit: As Per Rules <br />3. Laboratory Assistant <br />Qualification: B.Sc. degree with 05 years working experience in government R&amp;D Laboratory assisting in the field of molecular biology and genomis. <br />Pay Scale: Rs.15000/- Per Month <br />Age Limit: As Per Rules <br />How to Apply : Duly filled-in applications in prescribed application format along with copies of required documents should be reach to: Dr. Subhra Chakraborty, Staff Scientist-VII, National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, P.O. Box NO. 10531, New Delhi – 110067 . The Last Date to submit application is 16 July 2016</p>

<p>Source: http://www.nipgr.res.in/careers/vacancies_latest.php#<br />Form at http://www.nipgr.res.in/files/careers/format_RA_JRF_LA.doc</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/872/jayaram-lab</guid>
  <pubDate>Sun, 14 Jul 2013 14:04:37 -0500</pubDate>
  <link></link>
  <title><![CDATA[Jayaram Lab]]></title>
  <description><![CDATA[
<p>Responsible (a) for developing Chemgenome, Bhageerath &amp; Sanjeevini methods &amp; softwares for genome annotation, protein tertiary structure prediction &amp; computer aided drug design respectively, (b) for setting up a multi-teraflop supercomputing facility for Bioinformatics &amp; Computational Biology at IIT Delhi, and (c) for making the hardware and software freely accessible at (www.scfbio-iitd.res.in) to the global scientific user community.</p>

<p>Faculty facilitator/Founder Director for two start-up companies (Leadinvent incubated at IIT, Delhi from 2006-2009 &amp; Novoinformatics, under incubation at IIT Delhi since 2011).</p>

<p>Research Interest <br />Genome Analysis, Protein Structure Prediction and Drug Design.</p>

<p>Link @ http://www.scfbio-iitd.res.in/</p>
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