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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/1970?offset=450</link>
	<atom:link href="https://bioinformaticsonline.com/related/1970?offset=450" rel="self" type="application/rss+xml" />
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/43928/bioinformaticians-in-comparative-and-evolutionary-genomics</guid>
  <pubDate>Tue, 02 Aug 2022 01:22:48 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformaticians in comparative and evolutionary genomics]]></title>
  <description><![CDATA[
<p>NBIS is now looking for a new member to support Swedish research in evolutionary, comparative, and population genomics, with a particular focus on conifer genomics.</p>

<p>Your tasks will consist of:</p>

<p>Advanced bioinformatics analyses within research projects across Sweden, including key involvement in a major research effort in conifer genomics.<br />Development of bioinformatics tools and workflows.<br />Educating other scientists in bioinformatics through collaboration within supported projects, teaching at national courses, and through participating in various networks.<br />Taking part in the continuous development of NBIS/SciLifeLab at a national level</p>

<p>More at https://www.uu.se/en/about-uu/join-us/details/?positionId=518909</p>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44799/unlocking-evolutionary-secrets-a-dive-into-comparative-genomics-methods</guid>
	<pubDate>Tue, 20 May 2025 00:25:09 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44799/unlocking-evolutionary-secrets-a-dive-into-comparative-genomics-methods</link>
	<title><![CDATA[Unlocking Evolutionary Secrets: A Dive into Comparative Genomics Methods]]></title>
	<description><![CDATA[<p>Comparative genomics is the art and science of comparing genomes&mdash;across species, within species, or even among individuals&mdash;to unravel evolutionary relationships, functional elements, and genetic adaptations. As sequencing technologies have advanced and genome databases have expanded, comparative genomics has become a cornerstone of modern biology, shedding light on everything from antibiotic resistance in bacteria to human disease genetics.</p><p>In this post, we&rsquo;ll explore the core methods used in comparative genomics, the questions they help answer, and how they&rsquo;re shaping our understanding of life.</p><p><strong>1. Whole-Genome Alignment</strong><br />Whole-genome alignment involves mapping the entire genome of one species to another. Tools like MUMmer, MAUVE, and LASTZ perform large-scale sequence alignments to detect conserved regions, rearrangements, insertions, and deletions.</p><p>Use Case:<br />Comparing human and chimpanzee genomes to identify evolutionary conserved sequences (ECS) and regions of divergence.</p><p>Key Challenges:<br />Handling repetitive sequences and genome rearrangements.</p><p>Computational complexity in large genomes.</p><p><strong>2. Synteny and Collinearity Analysis</strong><br />Synteny refers to conserved blocks of gene order across species. Tools like MCScanX, SynMap, or CHITRA (for visualizing synteny interactively) detect these blocks to understand chromosomal evolution.</p><p>Use Case:<br />Studying ancient genome duplications in plants.</p><p>Investigating chromosomal rearrangements in cancer genomes.</p><p><strong>3. Ortholog and Paralog Detection</strong><br />Orthologs are genes in different species that evolved from a common ancestor, while paralogs are genes duplicated within a genome. Identifying them is crucial for functional annotation and evolutionary studies.</p><p>Popular Tools:<br />OrthoFinder, Orthologous MAtrix (OMA), InParanoid, and EggNOG.</p><p>Use Case:<br />Functional prediction of uncharacterized genes based on orthologs in model organisms.</p><p>Tracing gene family evolution.</p><p><strong>4. Phylogenomic Analysis</strong><br />Phylogenomic methods combine phylogenetics and genomics to infer evolutionary trees based on genome-wide data. These methods can handle dozens to hundreds of genomes, using concatenated alignments or gene trees.</p><p>Tools:<br />RAxML, IQ-TREE, ASTRAL, Phylip, BEAST.</p><p>Use Case:<br />Resolving the evolutionary relationships between microbial species.</p><p>Studying speciation events.</p><p><strong>5. Pan-Genome Analysis</strong><br />The pan-genome consists of the core genome (shared by all strains) and the accessory genome (strain-specific genes). This is especially popular in microbial genomics.</p><p>Tools:<br />Roary, Panaroo, BPGA, PGAP.</p><p>Use Case:<br />Understanding virulence factor diversity in E. coli.</p><p>Designing broad-spectrum vaccines.</p><p><strong>6. Comparative Transcriptomics</strong><br />Comparing transcriptomes across species or conditions reveals conserved and unique expression patterns. RNA-seq data can be mapped to reference genomes to identify orthologous expression profiles.</p><p>Use Case:<br />Comparing stress response in extremophiles and model species.</p><p>Studying conserved regulatory networks.</p><p><strong>7. Functional Element Comparison</strong><br />Beyond genes, comparative genomics also targets non-coding regions&mdash;enhancers, promoters, miRNAs. Conservation across species often implies functional importance.</p><p>Tools:<br />PhastCons, GERP, phyloP (based on multiple alignments).</p><p>Use Case:<br />Detecting conserved non-coding elements in vertebrates.</p><p>Studying regulatory divergence in human evolution.</p><p><strong>8. Horizontal Gene Transfer (HGT) Detection</strong><br />In microbes, genes often jump across species boundaries. Comparative genomics can detect HGT by identifying genes that defy the expected phylogenetic pattern.</p><p>Tools:<br />HGTector, DarkHorse, AlienHunter, SIGI-HMM.</p><p>Use Case:<br />Tracing antibiotic resistance genes.</p><p>Exploring microbial adaptability in extreme environments.</p><p><strong>Final Thoughts</strong><br />Comparative genomics is a powerful lens to observe the diversity and unity of life. With a broad toolkit&mdash;from aligners to orthology pipelines, phylogenetic engines to visualization tools&mdash;it allows scientists to ask big questions: How did genomes evolve? What makes species unique? Where do new genes come from?</p><p>Whether you're studying extremophiles, building better crops, or exploring human ancestry, comparative genomics offers the methods to connect the dots across the tree of life.</p><p>&nbsp;</p>]]></description>
	<dc:creator>LEGE</dc:creator>
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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/opportunity/view/1149/system-biologist-at-millennium-software-productions-india-private-limited</guid>
  <pubDate>Fri, 19 Jul 2013 09:43:53 -0500</pubDate>
  <link></link>
  <title><![CDATA[System Biologist at Millennium Software productions India Private Limited]]></title>
  <description><![CDATA[
<p>Millennium Software productions India Private Limited</p>

<p>www.cytosolve.com</p>

<p>Post - System Biologist</p>

<p>Job Description: Role of system biology is to design quantitative models of bimolecular networks and to study interactions between the components of biological systems, and how these interactions give rise to the function and behavior of that system (Enzyme, metabolites and pathway).</p>

<p>Qualification : B.Tech or M.Sc in Bioinformatics</p>

<p>Required Skills:</p>

<p>1) Basic knowledge of cell signaling pathways, chemical/enzyme kinetics, and differential equation based modeling approach.<br />2) Previous laboratory experience could be an advantage<br />3) Good Communication skills.</p>

<p>santhiya.ram@mproductions.com and 044-42946555.</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/view/2023</guid>
	<pubDate>Mon, 12 Aug 2013 09:36:53 -0500</pubDate>
	<link>https://bioinformaticsonline.com/view/2023</link>
	<title><![CDATA[What is the objective of BINC examination?]]></title>
	<description><![CDATA[<p>I personally did not understand the objective behind BINC examination. Is government only try to show off that they are doing something to promote Indian bioinformatics sector?</p><p>Moreover, It looks like BINC indirectly putting&nbsp;an extra burden to bioinformatician, mentally and financially.</p>]]></description>
	<dc:creator>Neel</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/4219/brief-biodata-of-dr-pranjal-chandra</guid>
	<pubDate>Wed, 04 Sep 2013 11:14:03 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/4219/brief-biodata-of-dr-pranjal-chandra</link>
	<title><![CDATA[Brief Biodata Of Dr. Pranjal Chandra]]></title>
	<description><![CDATA[]]></description>
	<dc:creator>Pranjal Chandra PhD</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/4219" length="140288" type="application/msword" />
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4755/sundar-lab</guid>
  <pubDate>Mon, 23 Sep 2013 11:10:16 -0500</pubDate>
  <link></link>
  <title><![CDATA[Sundar Lab]]></title>
  <description><![CDATA[
<p>Area of interest 		</p>

<p>Understanding DNA-protein interactions, genome engineering<br />Computational Genomics and Bioinformatics<br />Secondary metabolite biosynthesis, metabolic engineering</p>

<p>Ongoing Projects:</p>

<p>"Betraying the parasite’s redox system: Studies on spermidine synthase of Leishmania donovani " </p>

<p>"Towards modifying nature's DNA-recognition system" </p>

<p>"Yield enhancement strategies for production of therapeutic compounds by cell and tissue cultures of Tinospora cordifolia (willd.) Miers ex Hook. F. &amp; Thoms" </p>

<p>"Program support for Computational Genomics" </p>

<p>More at http://web.iitd.ac.in/~sundar/</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/4945/national-training-on-bioinformatics-computational-tools-for-microbial-research-nov-19-to-30-2013</guid>
  <pubDate>Fri, 27 Sep 2013 10:49:34 -0500</pubDate>
  <link></link>
  <title><![CDATA[National Training on Bioinformatics  Computational Tools for Microbial Research  Nov 19 to 30, 2013]]></title>
  <description><![CDATA[
<p>Agricultural research in modern scientific arena is being represented by proper integration among various research fields of biological, chemical and physical sciences, because this field encompasses many more complexities of biology in nature. In the era of fast accumulating biological data coming out from the research on many crop plants, live stocks and microbes and the impact of changing climate, habitat and other interrelations on these biological entities, bioinformatics has come forward across the globe to solve the problems of analysis, prediction, storage, management, pattern recognition, submission, retrieval and storage of the data to find out a fruitful outcome. This area is becoming increasingly important in the context of systems biology approach where a holistic approach is required to understand the biology and chemistry of the biological entities and their behavior during environmental interactions to resolve the harmful impact of biotic or abiotic causes on crop plants, animals, fishes, livestock sector, beneficial insects as well as microbes. The National Training program on ‘Computational Tools for Microbial Research” is an initiative for the capacity building of NARS scientists/researchers in this most emerging area and fast developing area of i.e. agricultural bioinformatics.</p>

<p>Contact The Director, National Bureau of Agriculturally Important Microorganisms, Kusmaur, Maunath Bhanjan-275101 (U.P.); Phone: 0547-2530080, Fax: 0547-2530358, e mail: nbaimicar@gmail.com; website: www.nbaim.org.in OR</p>

<p>Dr. Dhananjaya P. Singh, Senior Scientist &amp; CCPI, NABG project, NBAIM, Maunath Bhanjan, 275101; Mob.- 09415291703; e mail - dpsfarm@rediffmail.com, nabg.nbaim@gmail.com </p>

<p>More at http://www.nbaim.org.in/Announc.aspx?cd=36</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/5574/srfjrfra-university-of-hyderabad</guid>
  <pubDate>Mon, 14 Oct 2013 07:49:11 -0500</pubDate>
  <link></link>
  <title><![CDATA[SRF/JRF/RA @ UNIVERSITY OF HYDERABAD]]></title>
  <description><![CDATA[
<p>SCHOOL OF CHEMISTRY, UNIVERSITY OF HYDERABAD</p>

<p>Applications on plain paper along with details of CV (relevant photocopies of their<br />qualifications/experience and reprints of published work to be attached) are invited from qualified candidates for Research Fellowship in CSIR- sponsored research project.</p>

<p>JRF/SRF/RA (one vacancy)</p>

<p>CSIR sponsored “In silico design, identification and in vitro validation of lead molecule inhibitors to Bcr-Abl kinase”</p>

<p>JRF: M.Sc in Chemistry/ Bioinformatics/ Biotechnology with I division and NET or GATE qualified</p>

<p>SRF: M.Sc in chemistry/ Bioinformatics/ Biotechnology with at least two years of post- M.Sc research experience as evidenced from published papers in standard refereed journals in relevant area</p>

<p>RA: PhD in chemistry/ Bioinformatics/ Biotechnology with research experience in<br />relevant area.</p>

<p>As per CSIR guidelines</p>

<p>Notes:<br />1) You may visit the University of Hyderabad website www.uohyd.ernet.in to learn more about the University of Hyderabad.<br />2) Applicants should note that the appointment to be made is purely temporary and there is no right for claiming for any regular appointment in the University.<br />3) No TA/DA will be paid for attending the interview or at the time of joining the post, if selected.<br />4) The application should be submitted by post/courier/in-person to the address given below on or before November 1st 2013.</p>

<p>Prof. Lalitha Guruprasad<br />W-103, Gurbakhsh Singh Building<br />School of Chemistry<br />University of Hyderabad<br />Hyderabad- 500 046<br />5) Short-listed candidates will be called for interview at a short notice.</p>

<p>Advertisement: http://www.uohyd.ac.in/images/recruitment/chemisry_advt_101013.pdf</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/5957/assistant-professor-in-molecular-synthesis-for-drug-discovery-and-development-cbmr-lucknow</guid>
  <pubDate>Wed, 30 Oct 2013 06:42:27 -0500</pubDate>
  <link></link>
  <title><![CDATA[Assistant Professor in Molecular Synthesis for Drug Discovery and Development @ CBMR, Lucknow]]></title>
  <description><![CDATA[
<p>ADVERTISEMENT FOR FACULTY POSITIONS AT CENTRE OF BIOMEDICAL RESEARCH (CBMR), LUCKNOW</p>

<p>Details of the Positions and Pay Structure:</p>

<p>03 Posts for Assistant Professor in Molecular Synthesis for Drug Discovery and Development</p>

<p>Essential Qualifications and Requirements:</p>

<p>1. PhD in Synthetic Organic Chemistry/Medicinal Chemistry with research publications in high quality international journals and first class grade at the preceding degree from recognised University/Institute in India or abroad with consistently good academic record.<br />2. Three Yrs of Post-doctoral experience in relevant area.<br />3. Below 35 Yrs of age at the time of application</p>

<p>Desirable Experience: Candidates having strong research background in organic synthesis, total synthesis of structurally complex and medicinally important natural products/drugs related to cancer, neurodegenerative diseases (neurotropically active molecules for Alzheimer's, Parkinson’s, dementia etc) and infectious diseases such as malaria, TB etc. will be preferred.</p>

<p>Interested candidates may apply with:</p>

<p>1. Filled up Application Form (download from CBMR Website: http://www.cbmr.res.in) along with the Cover Letter, Curriculum Vitae including academic record (Bachelor degree onwards), awards, honours, list of Publications and reprints of 5 best publications.<br />2. Proposed research plan (max 3-4 pages).<br />3. Names and address (with valid e-mail and Phone number) of at least 3 academic referees.<br />4. Online Payment Receipt with transaction reference no. of Rs. 1000/- (USD 100 or equivalent foreign currency) on following details.<br />Account Number: 30054847814 Name: Director, Centre of Biomedical Research<br />Bank: STATE BANK OF INDIA, SGPGI Campus Branch, LUCKNOW</p>

<p>IFSC Code: SBIN0007789<br />MICR No: 22602034</p>

<p>Applications can be sent by registered/speed post or by e-mail to the following address:</p>

<p>The Director,<br />Centre of Biomedical Research (CBMR),<br />Sanjay Gandhi PGI Campus,<br />Raebareli Road, Lucknow-226014<br />e-mail: cbmr.admin@cbmr.res.in,<br />gp.pandey@cbmr.res.in</p>

<p>More Info:</p>

<p>http://www.cbmr.res.in/career/Advertisement%20for%20the%20post%20of%20Professors%20and%20Assistant%20Professors.pdf</p>
]]></description>
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