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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/920?offset=1070</link>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/5946/bioinformatics-tata-memorial-centre-navi-mumbai</guid>
  <pubDate>Mon, 28 Oct 2013 10:40:25 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics @ TATA MEMORIAL CENTRE, NAVI MUMBAI]]></title>
  <description><![CDATA[
<p>TATA MEMORIAL CENTRE<br />ADVANCED CENTRE FOR TREATMENT, RESEARCH AND EDUCATION IN CANCER<br />KHARGHAR, NAVI MUMBAI – 410210</p>

<p>No. ACTREC/Advt./ 72 /2013</p>

<p>WALK IN INTERVIEW</p>

<p>1. JRF*<br />Genome-wide RNAi screen with human pooled tyrosine kinase shRNA libraries in head and neck squamous call carcinoma (HNSCC) cell lines<br />DBT A/C No. 3071, Dr. Amit Dutt</p>

<p>2. JRF<br />IRB Project ACTREC Funds<br />Dr. Amit Dutt</p>

<p>3. RA<br />Defining the cancer genome of Head and Neck Squamous Cell Carcinoma (HNSCC) with SNP arrays and next generation sequencing technology<br />A/C No. 2895, Dr. Amit Dutt</p>

<p>Duration of the Project: One year from the date of appointment, or as and when project terminates.</p>

<p>Consolidated Salary: RA : Rs. 40,000/- p.m.<br />JRF* (DBT): Rs. 20,800/- p.m.<br />JRF: Rs. 16,000/- p.m.<br />Date &amp; Time: 6th November, 2013, at 10.00 a.m.</p>

<p>Venue: Conference Room</p>

<p>Minimum Qualifications and Experience:</p>

<p>RA: The ideal applicant should have a PhD in a relevant field. He/she should have a strong computational biology background, with demonstrated experience in coding using Perl, Python, Java or C++. He/she should be familiar with working in unix enviromnent, devising computational algorithms for data analysis, statistical data analysis in R and matlab and database programming using MySQL. Hands on experience in analyzing high throughput data would be an added advantage.</p>

<p>JRF* (DBT project): M.Sc. in Life Sciences or M.Tech in Biotechnology with good academic record (Minimum of 60% aggregate). Valid UGC-CSIR/DBT/ICMR JRF qualification and laboratory experience in molecular biology. Previous experience in molecular biology and animal tissue culture with high throughput platforms and ability to work with a large team would be desirable.</p>

<p>JRF (ACTREC project): M.Sc. in Life Sciences or M.Tech in Biotechnology with good academic record (Minimum of 60% aggregate). Minimum 2 yrs experience in molecular biology and animal tissue culture with high throughput platforms and ability to work with a large team is essential.</p>

<p>*M.Sc. degree obtained after a one year course will not be considered.</p>

<p>Candidates fulfilling above requirements should send their application by e-mail to<br />‘careers.duttlab@gmail.com. in the format given below so as to reach on or before<br />4th November, 2013.</p>

<p>Advertisement:</p>

<p>http://www.actrec.gov.in/data%20files/2013/AD-RA-JR-TECHN-6-NOV.pdf</p>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44871/10-books-to-kickstart-and-level-up-your-bioinformatics-journey</guid>
	<pubDate>Tue, 12 Aug 2025 03:50:11 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44871/10-books-to-kickstart-and-level-up-your-bioinformatics-journey</link>
	<title><![CDATA[10 Books to Kickstart (and Level Up) Your Bioinformatics Journey]]></title>
	<description><![CDATA[<p>If you&rsquo;re starting out in bioinformatics or looking to sharpen your computational biology skills, having the right learning resources makes all the difference.<br />Here&rsquo;s my curated list of 10 must-read books &mdash; from beginner-friendly introductions to advanced computational genomics.</p><p>1️⃣ Data Analysis for the Life Sciences<br />A fantastic starting point to learn statistics, R programming, and exploratory data analysis in the context of biology. The best part? It&rsquo;s available free online from HarvardX.</p><p>2️⃣ Practical Computing for Biologists<br />The very first book I picked up when I started learning computational biology. It&rsquo;s beginner-friendly and focuses on essential computing skills every biologist needs.</p><p>3️⃣ A Primer for Computational Biology<br />An open-access, hands-on introduction to computational biology concepts and coding techniques. Perfect if you want to learn through real examples.</p><p>4️⃣ Computational Genomics with R<br />For those who already know R and want to dive deeper into genome-scale data analysis, from sequence alignment to gene expression.</p><p>5️⃣ The Biologist&rsquo;s Guide to Computing<br />Bridges the gap between biological problems and computational thinking, making it easier for life scientists to approach programming and data analysis.</p><p>6️⃣ Bioinformatics Data Skills<br />A must-read to sharpen your bioinformatics toolkit &mdash; from command-line skills to reproducible research workflows. Ideal once you&rsquo;ve covered the basics.</p><p>7️⃣ Bioinformatics Workbook<br />A practical tutorial series to help scientists design bioinformatics projects, analyze data, and understand best practices.</p><p>8️⃣ Modern Statistics for Modern Biology<br />An essential guide to modern statistical methods applied to biology, blending theory with hands-on examples in R.</p><p>9️⃣ Algorithms on Strings, Trees, and Sequences by Dan Gusfield<br />A classic reference for anyone wanting to understand the algorithms behind sequence alignment, genome assembly, and biological data structures.</p><p></p>]]></description>
	<dc:creator>Neel</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/fun/view/45093/computational-but-a-biologist</guid>
	<pubDate>Thu, 09 Apr 2026 00:44:46 -0500</pubDate>
	<link>https://bioinformaticsonline.com/fun/view/45093/computational-but-a-biologist</link>
	<title><![CDATA[Computational, but a Biologist !]]></title>
	<description><![CDATA[<p>There was a time when doing biology<br />meant working only with your hands&mdash;<br />and that alone was seen<br />as &ldquo;real science.&rdquo;</p><p>People using computers were often seen<br />as helpers, not leaders&mdash;<br />useful, but not essential.</p><p>Sometimes, the criticism was direct.<br />Sometimes subtle.<br />But the message was the same&mdash;<br />this work doesn&rsquo;t really count.</p><p>Then biology changed.<br />The questions became bigger,<br />and experiments alone<br />were no longer enough.</p><p>Organizing knowledge by hand worked once.<br />Now it needs computers&mdash;<br />to handle scale, speed, and complexity.</p><p>Some patterns are simply invisible<br />if you look at one sample.<br />You need many&mdash;<br />and the right tools to understand them.</p><p>So we started building maps&mdash;<br />of genomes, cells, and systems.<br />Not perfect,<br />but extremely useful.</p><p>Ideas also had to become clearer.<br />It&rsquo;s no longer enough to say something sounds right&mdash;<br />you have to measure it.</p><p>The divide between &ldquo;types&rdquo; of biologists<br />never really made sense.<br />We are solving the same problems&mdash;<br />just in different ways.</p><p>Progress didn&rsquo;t wait for agreement.<br />It moved forward with data,<br />with code,<br />and with careful analysis.</p><p>What matters now is simple:<br />&bull; Biology depends on computation<br />&bull; Coding is an important skill<br />&bull; Statistics helps us think clearly<br />&bull; And the people building these tools<br />are shaping the future of science</p>]]></description>
	<dc:creator>LEGE</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/fun/view/4196/chemical-elements-of-bioinformatics</guid>
	<pubDate>Tue, 03 Sep 2013 16:35:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/fun/view/4196/chemical-elements-of-bioinformatics</link>
	<title><![CDATA[Chemical Elements of Bioinformatics]]></title>
	<description><![CDATA[<p>You must be familiar with periodic table and colour pattern, but this time you are going to amaze by new elements table by Eagle genomics. Just check it out and have fun :)</p><p><a href="http://elements.eaglegenomics.com/">http://elements.eaglegenomics.com/</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/3889/bioinformatics-and-sequencing-courses-and-workshops</guid>
	<pubDate>Sat, 24 Aug 2013 16:41:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/3889/bioinformatics-and-sequencing-courses-and-workshops</link>
	<title><![CDATA[Bioinformatics and Sequencing Courses and Workshops]]></title>
	<description><![CDATA[<p>Swiss Institute of Bioinformatics (SIB) organises lots of bioinformatics courses covering wide range of topics:</p><p><a href="http://www.isb-sib.ch/education/training-courses.html">http://www.isb-sib.ch/education/training-courses.html</a></p><p>Canadian bioinformatics also organises various bioinformatics and sequencing courses:</p><p><a href="http://bioinformatics.ca/workshops">http://bioinformatics.ca/workshops</a></p><p>In addition to above two, EMBI&nbsp;Europe, EMBO Europe, Cold Spring Harbour USA, Wellcome Trust UK and NOVA&nbsp;Europe&nbsp;also organise bioinformatics and sequencing courses annually:</p><p><a href="http://www.embl.de/training/events/index.php?p_outstation=ALL">http://www.embl.de/training/events/index.php?p_outstation=ALL</a></p><p><a href="http://www.embo.org/funding-awards/courses-workshops">http://www.embo.org/funding-awards/courses-workshops</a></p><p><a href="http://meetings.cshl.edu/courses.html">http://meetings.cshl.edu/courses.html</a></p><p><a href="http://www.wellcome.ac.uk/Education-resources/Courses-and-conferences/Advanced-Courses-and-Scientific-Conferences/Advanced-Courses/index.htm">http://www.wellcome.ac.uk/Education-resources/Courses-and-conferences/Advanced-Courses-and-Scientific-Conferences/Advanced-Courses/index.htm</a></p><p><a href="http://www.nova-university.org/pagetop.cfm?MenySidorTop_id=2&amp;open=7">http://www.nova-university.org/pagetop.cfm?MenySidorTop_id=2&amp;open=7</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/4211/socbin-bioinformatics-2014</guid>
  <pubDate>Tue, 03 Sep 2013 18:50:20 -0500</pubDate>
  <link></link>
  <title><![CDATA[SocBiN Bioinformatics 2014]]></title>
  <description><![CDATA[
<p>14th annual conference in Bioinformatics</p>

<p>Date : June 10-13</p>

<p>Organizers: The Society for Bioinformatics in Northern European countries (SocBiN) and the Norwegian Bioinformatics Platform / ELIXIR.NO </p>

<p>Venue: Department of Informatics, University of Oslo, Norway</p>

<p>Topics:<br />Tools and technologies for integrative bioinformatics<br />Metagenomics<br />Comparative genomics and phylogeny<br />Post-ENCODE bioinformatics<br />Gene regulation<br />Cancer genomes<br />Marine genomics</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7569/phd-at-university-of-calgary</guid>
  <pubDate>Fri, 27 Dec 2013 20:24:39 -0600</pubDate>
  <link></link>
  <title><![CDATA[PhD at University of Calgary]]></title>
  <description><![CDATA[
<p>Institution/Company: <br />University of Calgary<br />Location: <br />Calgary, AB<br />Job Description: </p>

<p>Novel diagnostic platform for detection of Osteoarthritis</p>

<p>I invite applications from highly motivated individuals to join my laboratory as a PhD student in Systems Biology at the University of Calgary McCaig Institute for Bone and Joint Health. This project is aimed at characterizing the networks of physical (protein-protein) interactions underlying inflammatory processes in patients with Osteoarthritis and how this differs from patients with Rheumatoid Arthritis and normal individuals. This work will eventually lead to the development of a novel diagnostic platform for the non-invasive and accurate detection of early Osteoarthritis. The selected candidate will use state-of-the-art computational methodologies to systematically analyze proteomic data, and develop /implement new algorithms to identify protein and functional interaction networks from high throughput experimental data. The individual will also benefit by working closely with experts at the UofC and UofA through an AIHS Alberta Osteoarthritis Team Grant which includes experts from all pillars of health research. The candidate will also be supported to attend bioinformatics workshops and conferences to advance and disseminate their research.<br />Qualifications: The ideal candidate will have a Master’s degree in Computational Biology, Bioinformatics, or equivalent with strong background knowledge of the Biological Sciences, Biochemistry, and Microbiology. The individual should additionally have experience in handling high-throughput data sets as well as programming skills. The candidate will be registered as a PhD student in Dr. Krawetz’s laboratory, located in the new state-of-the-art Health Research Innovation Centre at the UofC. The individual will have strong verbal and written skills and the ability to work efficiently in a team environment.</p>

<p>In addition to the outstanding research opportunities available in this setting, students also enjoy the many cultural and sporting amenities provided in the city of Calgary, and can take advantage of the unparalleled skiing and hiking in the Rocky Mountains that are less than an hour away.</p>

<p>Candidates must be academically competitive and will be expected to apply for external funding. The stipend is $25,000/yr. For outstanding PhD students, internal top-up award opportunities are available on a competitive basis. If interested in joining the lab, please contact Dr. Krawetz directly at rkrawetz@ucalgary.ca and provide the following information:</p>

<p>- Short cover letter explaining your interest in the lab<br />- Resume<br />- Scanned copy of transcript or listing of course grades<br />- Names and contact information for two individuals who will be willing to provide letters of reference</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/7812/bioinformatics-infrastructure-speed-up-indian-agriculture</guid>
	<pubDate>Tue, 07 Jan 2014 12:44:44 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/7812/bioinformatics-infrastructure-speed-up-indian-agriculture</link>
	<title><![CDATA[Bioinformatics infrastructure speed up Indian agriculture]]></title>
	<description><![CDATA[<p>"<span>Realizing the paradigm shift it can bring about, the government is focusing on increased bioinformatics intervention in agri-sciences. Currently under process, the national grid on bioinformatics is expected make much better sense out of huge genomic" - </span></p><p><span></span><a href="http://www.biospectrumindia.com/biospecindia/features/203849/supercomputing-indian-agriculture-fast-track-mode/page/1">http://www.biospectrumindia.com/biospecindia/features/203849/supercomputing-indian-agriculture-fast-track-mode/page/1</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/17946/7th-international-conference-on-bioinformatics-and-computational-biology-bicob</guid>
	<pubDate>Mon, 06 Oct 2014 16:19:36 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/17946/7th-international-conference-on-bioinformatics-and-computational-biology-bicob</link>
	<title><![CDATA[7th International Conference on Bioinformatics and Computational Biology (BICoB)]]></title>
	<description><![CDATA[<p><span>In recent years, computational biology and medical informatics have seen significant advances driven by computational techniques in bioinformatics making bioinformatics and computational biology among the most vibrant research areas. The 7th international conference on Bioinformatics and Computational Biology (BICoB-2015) provides an excellent venue for researchers and practitioners in the fields of bioinformatics and computational biology to present and publish their research results and techniques. The BICoB conference seeks original and high quality papers in the fields of bioinformatics, computational biology, systems biology, medical informatics and the related disciplines. </span><span>We also encourage work in progress and research results in the emerging and evolutionary computational areas. Computational techniques have already enabled unprecedented advances in modern biology and medicine. Work in the computational methods related to, or with application in, bioinformatics is also encouraged including: data mining, text mining, machine learning, modeling and simulation, pattern recognition, data visualization, biostatistics, .etc. The topics of interest include (and are not limited to):&nbsp;</span><br><strong><span>Genome analysis:</span></strong><span>&nbsp;Genome assembly, genome annotation, gene finding, alternative splicing, EST analysis and comparative genomics.&nbsp;</span><br><strong><span>Sequence analysis:</span></strong><span>&nbsp;Multiple sequence alignment, sequence search and clustering, function prediction, motif discovery, functional site recognition in protein, RNA and DNA sequences.&nbsp;</span><br><strong><span>Phylogenetics:</span></strong><span>&nbsp;Phylogeny estimation, models of evolution, comparative biological methods, population genetics.&nbsp;</span><br><strong><span>Structural Bioinformatics:</span></strong><span>&nbsp;Structure matching, prediction, analysis and comparison; methods and tools for docking; protein design&nbsp;</span><br><strong><span>Analysis of high-throughput biological data:</span></strong><span>&nbsp;Microarrays (nucleic acid, protein, array CGH, genome tiling, and other arrays), EST, SAGE, MPSS, proteomics, mass spectrometry.&nbsp;</span><br><strong><span>Genetics and population analysis:</span></strong><span>&nbsp;Linkage analysis, association analysis, population simulation, haplotyping, marker discovery, genotype calling.&nbsp;</span><br><strong><span>Systems biology:</span></strong><span>&nbsp;Systems approaches to molecular biology, multiscale modeling, pathways,gene networks.&nbsp;</span><br><strong><span>Computational Proteomics:&nbsp;</span></strong><span>Filtering and indexing sequence databases, Peptide quantification and identification, Genome annotations via mass spectrometry, Identification of post-translational modifications, Structural genomics via mass spectrometry, Protein-protein interactions, Computational approaches to analysis of large scale Mass spectrometry data, Exploration and visualization of proteomic data, Data models and integration for proteomics and genomics, Querying and retrieval of proteomics and genomics data etc.</span></p>
<p><span><span>Authors of selected high quality papers in BICoB-2015 will be invited to submit extended version of their papers for possible publication in bioinformatics journals (</span><a href="http://www.worldscinet.com/jbcb/" target="_blank"><strong>Journal of Bioinformatics and Computational Biology JBCB).</strong></a></span></p>
<p><span><strong>Deadlines</strong>:</span></p>
<p><span></span></p>
<p>Paper Submission Deadline October 24, 2014<br>Notification of Acceptance December 15, 2014<br>Camera-Ready Manuscript January 16, 2015</p>
<p><span></span></p><p>Address of the bookmark: <a href="http://www.cs.umb.edu/bicob/" rel="nofollow">http://www.cs.umb.edu/bicob/</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7383/embo-practical-course-on-bioinformatics-and-genomes-analyses-at-hellenic-pasteur-institute-athens-greece</guid>
  <pubDate>Sat, 21 Dec 2013 10:00:24 -0600</pubDate>
  <link></link>
  <title><![CDATA[EMBO practical Course on  "Bioinformatics and Genomes Analyses" at Hellenic Pasteur Institute, Athens, Greece]]></title>
  <description><![CDATA[
<p>The main objectives of this Practical Course are to strengthen skills <br />of PhD students and young researchers in the domain of Bioinformatics <br />and Genome Data Analyses on the use of advanced fundamental algorithms <br />and their applications in genome studies.</p>

<p>The course topics will include theoretical and practical aspects in:<br />- Genomes comparisons,<br />- Evolutionary analyses (orthologs, paralogs and ancestral genomes <br />inference),<br />- RNAseq and Next Generation Sequencing (including algorithms, methods <br />and sequence mapping tools, data analyses and applications).</p>

<p>The course programme will be centred on theoretical presentations <br />followed by practical sessions. Practical sessions in a Linux <br />environment will involve Unix shell and Perl scripting. Participants <br />are assumed to be familiar with this environment.</p>

<p>A series of lectures delivered by prominent scientists on recent hot <br />topics in genome (Viruses, Prokaryotes, Eukaryotes) studies will be <br />included in the programme and future research perspectives will be <br />highlighted.</p>

<p>The topics that will be included in the course programme are similar <br />to those included in previously organized courses:http://www.pasteur.fr/~tekaia/BGA_courses.html</p>

<p>The course is aimed at motivated Ph.D students and Post-Doctoral <br />Researchers in Academic Institutions, with background in Mathematics, <br />Statistics, Biology or Computer Science and who are involved in <br />Bioinformatics and Genomes studies.</p>

<p>Selection of participants will be based on their background, running <br />research projects and on expressed motivations.<br />Selected students will have free accommodation and meals and are <br />expected to contribute with 200 euros and to pay for their travel <br />expenses.<br />All participants (students and invited speakers) will stay in the same <br />hotel.</p>

<p>Detailed indications are available on the course web site: http://events.embo.org/14-comparative-genomics/index.html</p>

<p>Candidates are advised to complete carefully the application form, <br />together with an abstract of at least one of their running projects, a <br />"one-page CV" and a personal Identity Picture (Photo).</p>

<p>The application deadline is March 14, 2014.</p>

<p>The organizers:<br />Menelaos Manoussakis, Hellenic Pasteur Institute, Athens, Greece.<br />Evdokia Karagouni, Hellenic Pasteur Institute, Athens - Greece.<br />Evie Melanitou,  Institut Pasteur Paris - France.<br />Fredj Tekaia ( Institut Pasteur Paris France)<br />URL: http://www.pasteur.fr/~tekaia/BGA_courses.html</p>

<p>Date: 5 – 17 May, 2014. <br />More at http://events.embo.org/14-comparative-genomics/index.html<br />will take place in the ,</p>
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