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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/42012?offset=50</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44648/modern-statistics-with-r</guid>
	<pubDate>Thu, 22 Aug 2024 04:44:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44648/modern-statistics-with-r</link>
	<title><![CDATA[Modern Statistics with R]]></title>
	<description><![CDATA[<p>This is the online version of the second edition of&nbsp;<em>Modern Statistics with R</em>. It is free to use, and always will be.&nbsp;<a href="https://www.routledge.com/Modern-Statistics-with-R-From-Wrangling-and-Exploring-Data-to-Inference-and-Predictive-Modelling/Thulin/p/book/9781032512440">Printed copies</a>&nbsp;are available from CRC Press.</p>
<p><span>Live&nbsp;<a href="https://statistikakademin.se/in-english-r/">online courses on statistics with R</a></span>&nbsp;based on this book, led by the author, are offered regularly; see&nbsp;<a href="https://statistikakademin.se/in-english-r/">this page</a>&nbsp;for more information and dates.</p>
<p>The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools. The aim of&nbsp;<em>Modern Statistics with R</em>&nbsp;is to introduce you to key parts of the modern statistical toolkit. It teaches you:</p>
<ul>
<li><span>Data wrangling</span>&nbsp;- importing, formatting, reshaping, merging, and filtering data in R.</li>
<li><span>Exploratory data analysis</span>&nbsp;- using visualisations and multivariate techniques to explore datasets.</li>
<li><span>Statistical inference</span>&nbsp;- modern methods for testing hypotheses and computing confidence intervals.</li>
<li><span>Predictive modelling</span>&nbsp;- regression models and machine learning methods for prediction, classification, and forecasting.</li>
<li><span>Simulation</span>&nbsp;- using simulation techniques for sample size computations and evaluations of statistical methods.</li>
<li><span>Ethics in statistics</span>&nbsp;- ethical issues and good statistical practice.</li>
<li><span>R programming</span>&nbsp;- writing code that is fast, readable, and (hopefully!) free from bugs.</li>
</ul>
<p>The book includes plenty of examples and more than 200 exercises with worked solutions.&nbsp;<a href="http://www.modernstatisticswithr.com/data.zip">The datasets used for the examples and the exercises can be downloaded here.</a></p><p>Address of the bookmark: <a href="https://www.modernstatisticswithr.com/" rel="nofollow">https://www.modernstatisticswithr.com/</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/21096/how-to-prepare-your-bioinformatics-cv</guid>
	<pubDate>Mon, 09 Feb 2015 01:50:01 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/21096/how-to-prepare-your-bioinformatics-cv</link>
	<title><![CDATA[How to Prepare your Bioinformatics CV ?]]></title>
	<description><![CDATA[<p>Preparing a CV is also an art as well as a requirement for a person applying for a job .<br /> Curriculum Vitae is the first impression on the employer so it should be the best.How It can be the best can be learnt.Here is a link where you can get guidelines on how CV can be prepared and a sample also. Preparing your own Curriculum Vitae can seem a daunting task, quite apart from what to put in and what to leave out, describing your own strengths and abilities isn't easy. What we have tried to do with the following guidelines is to make the whole process a much easier one and ensure that you end up with a professional document which shows you how to pitch your skills and stand out from the crowd. In the current economic and employment climate, employers are looking to consistently improve on productivity and match a prospective employee's skills and experience with the job needs, both now and in the future.<br /> <strong><br /> Presentation and layout</strong><br /> Always ensure that your CV is laser-printed on white, good quality paper, use a clean typeface and don't go smaller than 12 point.<br /> The use of sub-headings (e.g. Personal details, career history, etc.) will help potential employers glean the information they require with ease.<br /> There should be clear spaces between category headings for easy clarification and definition.<br /> Your name, address and phone number(s) should form the start of the document. If you are giving a work number add the following - 'please use with discretion.'<br /> Commencing with your present or most recent employer, state your career history. Then list your professional qualifications. If you have been working for many years list your academic qualifications and a very brief mention as to your college or schooling.<br /> If you are just commencing your working life, having previously been a student, provide more in depth knowledge regarding your academic achievements to date.<br /> <br /> <strong>Content</strong></p><p>Starting with your current or most recent employment provide details of your position as follows:</p><ul>
<li>A chronological CV should be arranged in reverse chronological order. It should be apparent immediately where you are now.</li>
<li>Remember that an application form is limited to the few things that a particular institution wants to know about everybody. A CV lets you give information that is unique to you. Add all your key accomplishments and activities in the initial draft. In subsequent drafts, you can remove information that may not be pertinent.</li>
<li>Resist the temptation to append explanatory sentences or language, which will distract the reader from the basic information being presented. The language of a CV is abbreviated and succinct. When applying for residency training, you will have the opportunity to express yourself in a personal or biographical statement. In the future, when applying for a job or some other type of position, you will want to include an appropriate cover letter with your CV to explain your particular qualifications and strengths for the position.</li>
<li>Don&rsquo;t despair if your CV doesn&rsquo;t resemble those of other students who are applying to the same residency program. Everybody&rsquo;s CV is different. Even if everyone used the same format suggested in this section, your CV will not resemble others&rsquo; because it doesn&rsquo;t have the same content. No residency program director is looking for a specific CV style. You will receive points for neatness, and readability.</li>
<li>Be honest. If you haven&rsquo;t accomplished anything in a particular category, leave it out. Don&rsquo;t create accomplishments to fill in the spaces. You can be specific about your level of participation in a project or activity, but don&rsquo;t be misleading (i.e., you can say you coordinated membership recruitment for your AMSA chapter, but don&rsquo;t say you were &ldquo;president&rdquo; unless you were).</li>
</ul><ul>
<li>Job title - time that you have held this position</li>
<li>The key tasks and responsibilities that comprise this role's requirements - notable achievements whilst in the role</li>
<li>Where possible quantify your achievements with precise facts and figures, e.g. managed junior staff, handled department budget, prepared management reports</li>
<li>Expand on the skills you are using in your current job which you believe will be valuable in the position(s) for which you are applying</li>
</ul><p>It is not necessary to state the reason you are leaving your current position. This will be a topic for conversation when you are invited for interview or can be covered in your letter of application.<br /> For all previous employment, unless one appointment was more significant than your current or last position, keep details brief i.e. the name of the company, job title, period of employment and the job.<br /> Be sure there are no gaps in your career history - unless for example you took a year out to travel, in which case make reference to this under Interests/Hobbies.<br /> If you are a student just starting work, give any evidence you can to demonstrate your practical skills e.g. school prefect, event organisation, member of sports team, contributor to college magazine or voluntary work.<br /><br /> You are under no obligation to disclose marital status, age or whether or not you have children unless these are specific criteria for selection for a position that you are interested in.<br /> Consider what examples (interests/ hobbies) you can give to show that you match the selection criteria.<br /><br /> If they want someone to work as part of a large team, remember to say if you belong to a local organisation or if you are part of a sports team.<br /><br /> If they want someone who will work on their own for large periods of time, make reference to an Open University course you are considering undertaking.<br /><br /> Your primary objective is to convince the prospective employer that you have the requisite skills, experience and hunger to do the job.<br /><br /> Your CV should be no more than two A4 pages and as every employer is different remember to customise your CV to every job you go after.</p><p>There are abundant books on the contents and presentation of a general CV. A BMJ article published in 1978, offering doctors guidance on how to prepare a CV, has been reprinted in the widely read How to do it series.1 2 A survey among postgraduate deans and training advisers at regional colleges found that the contents and presentation of a model CV for doctors in training has been published.3 It is perhaps surprising to note that these models differ significantly from one another. Although they may be useful as starting points, their differences tend to create confusion and anxiety among students. I would argue that these differences exist because the content and presentation of the "ideal" CV vary considerably among individual applicants, the stage of their careers, and the purposes for which the CV is used. It is impossible to create a generic CV. I have therefore not attempted to draw up another model CV. Rather, the purpose of this article is to outline the general principles and important practical points in preparing a good CV. General principles on contents Before finalising your CV for a particular purpose you must be sure of your objectives, whether it is used as an initial screening or the only selection instrument, and the criteria against which it is judged. What details, and how many of them, to include in your CV depends on these factors. I shall illustrate with examples relevant to medical students.&nbsp;<br /> <br /> (1) Job application Your objective is to get the job. In a job application, the CV is used for two purposes: as an initial screening instrument for shortlisting candidates and as a framework for discussion during the interview. The explicit criteria used for shortlisting are usually given in the job advertisement. For some organisations, separate lists of essential and desirable criteria are given. Alternatively, you can get a good idea of the basic requirements from the job description. Your CV must clearly highlight these criteria, preferably on the first page. These usually include: formal qualifications; registration with the General Medical Council; and the prescribed experience. It is sometimes easy to forget to mention items specifically asked for in the job description (for example, a valid driving licence). The implicit criteria are less easy to pinpoint. For example, how much detail on your BSc dissertation and publications should you include? Should you make a long list of extracurricular activities, interests outside medicine, and positions of responsibility? If you admit to a wide range of extracurricular activities and interests, would you be considered as a candidate with a well balanced mature personality or will it be interpreted to mean that you will have little time or interest to do your job? There are no easy answers. Common sense might tell you that BSc dissertation and publications are more important in application for teaching hospital or research posts, but less important for district hospital posts. Conversely, you might think that interests outside medicine are more important for posts in district hospitals or in general practice. This is, however, not always true. A few consultants at district hospital are highly academic. Information gathered from students and doctors working under the professor or consultant concerned may be vital. Alternatively, it is worth while doing your homework by looking up your prospective consultant in the medical directory. This may occasionally prompt you to include information that you might otherwise have left out. For example, you may find that the consultant qualified in Scotland and has previously worked in Scotland for a considerable time, and you may decide to add in your CV that you studied in a Scottish secondary school. Since the CV is only used as for initial screening, you need not go into your previous experience or extracurricular activities in too much detail. Highlight only the most significant points, and leave the details for the interview. If you are applying for a clinical post, one of your referees should be a consultant for whom you have worked as a student. You should ask for permission to use his/her name before submitting your application.&nbsp;<br /> <br /> (2) Application for research scholarship or PhD studentship The CV and application form are sometimes used as the sole selection instrument, and you must make enquiries before you submit your application. Clearly, academic ability is the main criterion for selection, and you should include as much information relevant to your academic ability and interests as you can. Examples are your A levels, your BSc dissertation, any publications (even in the form of a letter in newspaper), any experience as an editor (for example, for your school magazine). Your extracurricular activities are less important, and you can simply give a short list. At least one of the referees should be an academic - for example, your previous supervisor in your BSc degree.<br /> &nbsp;<br /> (3) Application to join a clinical course in another medical school Preclinical students who have completed an intercalated degree often have the option of applying to join a clinical course in another medical school, although it may become more difficult to do so with the introduction of the new GMC curriculum. Your CV is usually used for shortlisting candidates for interview. The criteria differ slightly among medical schools, but both academic ability and contribution to university life are important. Hence, not only should you highlight your academic achievements but you must also highlight your participation in the university (for example, in sports or music).&nbsp;<br /> <br /> (4) For the information of your tutor or counsellor For most medical schools, you are allocated a tutor who provides both academic and non-academic support and monitors your progress throughout your study on a confidential basis. Students are sometimes asked to submit their up to date CV to their tutors for information. Assuming that the tutors are helpful there is little to gain from over emphasising your strengths or hiding your weaknesses. Once you become a doctor in training after you qualify you will need to undergo an annual assessment of your progress. It serves to certify that you have reached a satisfactory standard, but it is also used as an aid to identify and help with your weaknesses. You may find it difficult to balance these two purposes in presenting your CV. General principles on presentation Now that all students are computer literate, there should be few problems in preparing a well presented CV. The following list serves as a reminder on how to present your CV effectively: Spelling or grammar mistakes - do not rely purely on the spell check on your computer. Ask friends to proofread your CV for you. Consistency - The use of punctuation to open and close sentences, justification, and fonts should be consistent. Readability - The headings should be clear. The font size should be no less than 12 point. Basic criteria - The basic criteria should be easily located, preferably on the first page. Length - The length of your CV increases as you progress up the professional ladder. For students, it should generally be no more than three pages. Quality of print - The CV should be printed on good quality paper, preferably using a laser printer. Practical points In this article, I argue that different versions of a CV may be required for different purposes. Even applications for different posts in the same specialty may require slightly different versions. Also, CVs need to be updated regularly. This would have been time consuming to achieve in the past, but it is now quite simple, with the aid of a basic word processing package. A master CV containing all relevant information should be prepared and saved as a computer file. This should be continuously kept up to date. When the need for a CV arises, it can be tailormade by editing the master document. It is important to save each of these edited versions separately, with the file names indicating the date when it was created and the purpose. It is also important to prepare a cover letter to go with the CV. Key messages A good CV is essential for successful progression up the medical professional ladder The contents of the CV should be tailormade for the purpose it is used for and the criteria against which it is judged. It is important to gather information about these criteria first The CV must be technically well presented, with the basic criteria easily located Information technology has made it simple to regularly update our CVs and allows preparation of different versions of a CV for different purposes with relative ease.</p><p><strong>Reference:</strong></p><p>Prepare a curriculum vitae. BMJ 1978;25(2):1478-9.<br /> O'Brien E. Prepare a curriculum vitae. In: Reece D, ed.&nbsp;<br /> How to do it. Vol 1. London: BMJ Publishing Group, 1995 Chambler AF, Chapman-Sheath PJ, Pearse MF.&nbsp;<br /> A model curriculum vitae: what are the trainers looking for? Hosp Med 1998;59(4):324-6.</p>]]></description>
	<dc:creator>Neel</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/22017/binc-2015</guid>
	<pubDate>Sat, 11 Apr 2015 20:35:27 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/22017/binc-2015</link>
	<title><![CDATA[BINC 2015 !!!]]></title>
	<description><![CDATA[<p>Pondicherry University,Puducherry,on behalf of Department of Biotechnology, Government of India, will conduct the BINC examination in2015. The objective of this examination is to certify bioinformatics professionals, trained formally as well as self-trained.Registration will open from March 9,2015 to April 30,2015. Pondicherry University, Puducherry has been identified as a nodal agency by the Department of Biotechnology, Govt. of India to coordinate this examination along with nine centres namely, Pune University, Pune; Anna University, Chennai; Calcutta University, Kolkata; Institute of Bioinformatics &amp; Applied Biotechnology, Bangalore; North-Eastern Hill University, Shillong, University of Hyderabad, Hyderabad; University of Kerala, Thiruvananthapuram; Jawaharlal Nehru University, New Delhi and Assam Agricultural University, Guwahati. In the BINC 2013 examination,17 candidates were certified. DBT has agreed to fund Research fellowships for all the BINC qualified Indian nationals to pursue Ph.D. in Indian Institutes/Universities. Note that the candidate must possess a postgraduate degree(or equivalent) &amp; meet the criteria of the institutes/universities in order to avail research fellowship. In addition, cash prize of Rs. 10,000/- will be awarded to the top 10 BINC qualifiers.</p><p>More at http://www.binc.co.in/College/Index_New.aspx</p><p>BINC notification http://www.binc.co.in/PdfDocuments/Notification.pdf</p><p>Few dates to remember:</p><p>Starting of online submission of application: March 9, 2015<br />Last date for submission of application: April 30,2015<br />Examination consists of two parts:<br />Part I (Paper I) : June 7, 2015 (10 AM-12 PM)<br />Part II ( Paper II &amp; III) :June 28, 2015 (9 AM-12 PM &amp; 2 PM-4 PM)</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/22053/binc-sample-question-paper</guid>
	<pubDate>Thu, 16 Apr 2015 09:16:18 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/22053/binc-sample-question-paper</link>
	<title><![CDATA[BINC Sample Question Paper !!!]]></title>
	<description><![CDATA[<p>BINC sample question paper. Wish you all the best for BINC examination.</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/22053" length="4041" type="text/plain" />
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/22569/reverse-complement-problem-solved-with-perl</guid>
	<pubDate>Tue, 09 Jun 2015 23:37:23 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/22569/reverse-complement-problem-solved-with-perl</link>
	<title><![CDATA[Reverse Complement Problem Solved with Perl]]></title>
	<description><![CDATA[<p>Question at http://rosalind.info/problems/1b/</p><p>#Find the reverse complement of a DNA string.<br />#Given: A DNA string Pattern.<br />#Return: Pattern, the reverse complement of Pattern.<br /><br />use strict;<br />use warnings;<br /><br />my $string="AAAACCCGGT";<br />my $finalString="";<br />my %hash = (<br />&nbsp;&nbsp; &nbsp;"C" =&gt; "G", <br />&nbsp;&nbsp; &nbsp;"A" =&gt; "T", <br />&nbsp;&nbsp; &nbsp;"T" =&gt; "A", <br />&nbsp;&nbsp; &nbsp;"G" =&gt; "C",<br />);<br /><br />for (my $aa=0; $aa&lt;=(length($string)-1); $aa++) {<br />&nbsp;&nbsp; &nbsp;my $char=substr $string, $aa, 1;<br />&nbsp;&nbsp; &nbsp;#print $hash{$char};<br />&nbsp;&nbsp; &nbsp;$finalString="$hash{$char}"."$finalString";<br />}<br /><br />print $finalString;<br />print "\n";</p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/poll/view/22906/at-what-age-did-you-gain-passion-in-bioinformatics</guid>
	<pubDate>Tue, 23 Jun 2015 10:39:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/poll/view/22906/at-what-age-did-you-gain-passion-in-bioinformatics</link>
	<title><![CDATA[At what age did you gain passion in Bioinformatics?]]></title>
	<description><![CDATA[<p>Most of the bioinformatician were biologist ( yeah ... not all ;), and at later stage they gain a passion in Bioinformatics and learn it. When did you get inclined towards computational analysis of biological data?</p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26571/pattern-searching-in-a-single-genome</guid>
	<pubDate>Mon, 07 Mar 2016 05:02:51 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26571/pattern-searching-in-a-single-genome</link>
	<title><![CDATA[Pattern Searching in a Single Genome]]></title>
	<description><![CDATA[<p>Pattern searching holds much importance for biologists , for the understanding of DNA ( and its functionality) can be more than a matter of satisfying curiosity , but also give answers to many issuess uchas medical conditions . However,there are a number of ways of searching with in a single chromosome.</p><p>Address of the bookmark: <a href="https://www.stats.ox.ac.uk/__data/assets/pdf_file/0018/5373/LintonFinalReport.pdf" rel="nofollow">https://www.stats.ox.ac.uk/__data/assets/pdf_file/0018/5373/LintonFinalReport.pdf</a></p>]]></description>
	<dc:creator>Aasha</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/42811/bioinformatics-in-africa-part-4-morocco</guid>
	<pubDate>Sat, 06 Feb 2021 13:31:24 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/42811/bioinformatics-in-africa-part-4-morocco</link>
	<title><![CDATA[Bioinformatics in Africa: Part 4 - Morocco]]></title>
	<description><![CDATA[<p>Bioinformatics, in the UFR in Artificial Intelligence and Bioinformatics, deals with the management, the analysis, the modelling and the visualization of biological databases. Since the size of the databases is often exponential, the traditional algorithms are not very effective when seeking for a good computational solution.</p><p>To take care of this issue, many ways are opened to the researchers&nbsp;to&nbsp;improve&nbsp;the&nbsp;quality&nbsp;of&nbsp;the&nbsp;algorithms:</p><p>1. Usage of new information processing methods like artificial neuronal networks, genetic algorithms,&nbsp;etc. 2. Usage&nbsp;of&nbsp;Data&nbsp;mining&nbsp;&nbsp;to&nbsp;explore&nbsp;biochemical&nbsp;databases,<br />3. Usage of Machine learning on the biological examples to solve, for example, the problem of classification&nbsp;in&nbsp;Bioinformatics.</p><p>UFR&nbsp;offers&nbsp;in&nbsp;addition&nbsp;a&nbsp;doctoral&nbsp;training&nbsp;in&nbsp;Computer&nbsp;Science&nbsp;and&nbsp;Bioinformatics.</p><p>Doctoral&nbsp;module&nbsp;which&nbsp;includes:&nbsp;a&nbsp;Dipl&ocirc;me&nbsp;des&nbsp;Etudes&nbsp;Sup&eacute;rieures&nbsp;Approfondies&nbsp;(DESA)&nbsp; of&nbsp;two&nbsp;years;&nbsp;and&nbsp;a&nbsp;doctorate&nbsp;studies&nbsp;program&nbsp;with&nbsp;a&nbsp;national&nbsp;Ph.D.&nbsp;certification. Three&nbsp;specializations&nbsp;constitute&nbsp;the&nbsp;teaching&nbsp;trunk&nbsp;of&nbsp;the&nbsp;ENSAT:&nbsp;Computer&nbsp;engineering,&nbsp;Telecom&nbsp; engineering,&nbsp;and&nbsp;electronic&nbsp;systems&nbsp;engineering.</p><p>Research&nbsp;Interest&nbsp;and&nbsp;Activities:</p><p>The&nbsp;following&nbsp;are&nbsp;the&nbsp;present&nbsp;areas&nbsp;of&nbsp;research&nbsp;interest:</p><p>1. Machine&nbsp;Learning&nbsp;and&nbsp;Profile&nbsp;Gene&nbsp;Expression&nbsp;of&nbsp;Cancer<br />2. Predicting&nbsp;Protein&nbsp;structure <br />3. Hidden&nbsp;Markov&nbsp;Models&nbsp;(HMMs)&nbsp;and&nbsp;multiple&nbsp;alignments <br />4. Transformational&nbsp;Grammar&nbsp;for&nbsp;sequence&nbsp;modelling <br />5. Physical&nbsp;Mapping:&nbsp;STSs <br />6. Evolutionary&nbsp;Computation&nbsp;applied&nbsp;to&nbsp;Genomic&nbsp;and&nbsp;Proteomic <br />7. Predicate&nbsp;Logic&nbsp;and&nbsp;Protein&nbsp;Structure</p><p>Web&nbsp;site&nbsp;and&nbsp;links:</p><p>http://www.ensat.ac.ma/udiab http://www.pasteur.fr/pasteur/international/annonce_coursBioinfoannonce06_casa.pdf</p>]]></description>
	<dc:creator>BioStar</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43042/bioinformatics-in-thailand</guid>
	<pubDate>Wed, 28 Apr 2021 02:04:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43042/bioinformatics-in-thailand</link>
	<title><![CDATA[Bioinformatics in Thailand !]]></title>
	<description><![CDATA[<p>Our international PhD and master programs are designed for students who desire focused training in the elements of biology, computer science, and information technology needed for a successful career in the exciting new discipline of Bioinformatics &amp; Systems Biology. Students in our program will receive comprehensive training in omics analysis, database design and management, software engineering and programming (including web-based development), simulation techniques and modeling, and data integration. Each student will apply their skills to a practical project, where they will design and implement a solution to a real-world problem under the guidance of an experienced mentor in industry or academia.</p>
<p><strong>https://bioinformatics.kmutt.ac.th/about.html</strong></p>
<p>Duangrudee Tanramluk (Ajarn Wi) uses computational biology and machine learning to tackle the key to drug design problems via MANORAA webserver.</p>
<p><strong>https://mb.mahidol.ac.th/en/bioinformatics/</strong></p>
<p><strong>https://graduate.mahidol.ac.th/inter/</strong></p>
<p>This&nbsp;international&nbsp;Doctorate programme is designed to further broaden students&rsquo; knowledge in Bioinformatics and Molecular Biology to their maximum capability.&nbsp;</p>
<p><strong>http://www.mbb.psu.ac.th/programmes/phd</strong></p>
<p>Ph.D. program in Bioinformatics and Computational Biology is a joint effort of the Faculty of Science and Faculty of Medicine, Chulalongkorn University. The program has study plans for both applicants who hold a bachelor&rsquo;s degree and applicants who hold a master&rsquo;s degree in any related fields of study.</p>
<p><strong>http://www.bioinfo.sc.chula.ac.th/ph-d-program-specialization/</strong></p>
<p>Additional detail&nbsp;</p>
<p><strong>https://www.biotec.or.th/en/index.php/research/research-units/genome-technology-research-unit</strong></p>
<p><strong>https://tbrcnetwork.org/labtbrc/index.php/bioinformatics-and-chemoinformatics/</strong></p>
<p><strong>https://genomicsthailand.com/Genomic/home</strong></p><p>Address of the bookmark: <a href="https://bioinformatics.kmutt.ac.th/" rel="nofollow">https://bioinformatics.kmutt.ac.th/</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38378/gwaspro-a-high-performance-genome-wide-association-analysis-server</guid>
	<pubDate>Fri, 07 Dec 2018 08:04:57 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38378/gwaspro-a-high-performance-genome-wide-association-analysis-server</link>
	<title><![CDATA[GWASpro: A High-Performance Genome-Wide Association Analysis Server]]></title>
	<description><![CDATA[<p>GWASpro supports building complex design matrices, by which complex experimental designs that may include replications, treatments, locations and times, can be accounted for in the linear mixed model (LMM). GWASpro is optimized to handle GWAS data that may consist of up to 10 million markers and 10,000 samples from replicable lines or hybrids. GWASpro provides an interface that significantly reduces the learning curve for new GWAS investigators.</p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="https://bioinfo.noble.org/GWASPRO/" rel="nofollow">https://bioinfo.noble.org/GWASPRO/</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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