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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/40955?offset=120</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41009/genomics-public-data-links</guid>
	<pubDate>Thu, 13 Feb 2020 00:20:00 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41009/genomics-public-data-links</link>
	<title><![CDATA[genomics public data links !]]></title>
	<description><![CDATA[<p>List of publically available databases on google server.</p>
<p>More at <a href="https://software.broadinstitute.org/gatk/download/bundle">https://software.broadinstitute.org/gatk/download/bundle</a></p>
<p><a href="ftp://ftp.ncbi.nlm.nih.gov/snp/organisms/human_9606/VCF/GATK/">ftp://ftp.ncbi.nlm.nih.gov/snp/organisms/human_9606/VCF/GATK/</a>.</p>
<p><a href="ftp://ftp.broadinstitute.org/bundle/hg38/hg38bundle/">ftp://ftp.broadinstitute.org/bundle/hg38/hg38bundle/</a></p><p>Address of the bookmark: <a href="https://console.cloud.google.com/storage/browser/genomics-public-data/resources/broad/hg38/v0?pli=1" rel="nofollow">https://console.cloud.google.com/storage/browser/genomics-public-data/resources/broad/hg38/v0?pli=1</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42143/sibelia-a-comparative-genomics-tool</guid>
	<pubDate>Sat, 22 Aug 2020 02:49:00 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42143/sibelia-a-comparative-genomics-tool</link>
	<title><![CDATA[Sibelia: A comparative genomics tool]]></title>
	<description><![CDATA[<p><strong>Sibelia</strong>: A comparative genomics tool: It assists biologists in analysing the genomic variations that correlate with pathogens, or the genomic changes that help microorganisms adapt in different environments. Sibelia will also be helpful for the evolutionary and genome rearrangement studies for multiple strains of microorganisms.&nbsp;</p>
<p><strong>Sibelia</strong>&nbsp;is useful in finding: (1) shared regions, (2) regions that present in one group of genomes but not in others, (3) rearrangements that transform one genome to other genomes.</p>
<p>More at&nbsp;<a href="http://bioinf.spbau.ru/sibelia">http://bioinf.spbau.ru/sibelia</a></p>
<p>Sibelia docs&nbsp;<a href="http://gensoft.pasteur.fr/docs/Sibelia/3.0.7/SIBELIA.md">http://gensoft.pasteur.fr/docs/Sibelia/3.0.7/SIBELIA.md</a></p><p>Address of the bookmark: <a href="https://github.com/bioinf/Sibelia" rel="nofollow">https://github.com/bioinf/Sibelia</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/43046/postdoctoral-fellow-for-a-large-scale-microbial-comparative-genomics</guid>
  <pubDate>Thu, 29 Apr 2021 08:44:53 -0500</pubDate>
  <link></link>
  <title><![CDATA[postdoctoral fellow for a large-scale microbial comparative genomics !]]></title>
  <description><![CDATA[
<p>Asaf Levy hiring a postdoctoral fellow for a large-scale microbial comparative genomics project at the Hebrew University of Jerusalem (Israel). <br />The project is a continuation of Levy Asaf et al. Nature Genetics 2018 paper.<br />Requirements: <br />1.Experience with programming in at least one programming language, preferably Python.<br />2.A PhD in bioinformatics/computational biology<br />3.At least one first authorship publication in a good journal, preferably more.<br />4.Good communication skills in English <br />5.Ability to enter and study in Israel (not applicable for Pakistani people, for example). <br />6.Ability to work in a team.<br />Please send CV to alevy@mail.huji.ac.il</p>
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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/bookmarks/view/34565/fogsaa-fast-optimal-global-sequence-alignment-algorithm</guid>
	<pubDate>Fri, 08 Dec 2017 14:41:08 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34565/fogsaa-fast-optimal-global-sequence-alignment-algorithm</link>
	<title><![CDATA[FOGSAA: Fast Optimal Global Sequence Alignment Algorithm]]></title>
	<description><![CDATA[<p>Sequence alignment algorithms are widely used to infer similarirty and the point of differences between pair of sequences. FOGSAA is a fast Global alignment algorithm. It is basically a branch and bound approach which starts branch expansion in a greedy way taking the symbols from the given pair of sequences (protein or nucleotide) and results in an optimal alignment faster than conventional dymanic programming techniques. It is also better than the heuristic methods with respect to alignment quality.</p><p>Address of the bookmark: <a href="http://www.isical.ac.in/~bioinfo_miu/FOGSAA.htm" rel="nofollow">http://www.isical.ac.in/~bioinfo_miu/FOGSAA.htm</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/40485/world-promising-health-companies</guid>
	<pubDate>Tue, 31 Dec 2019 19:10:13 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/40485/world-promising-health-companies</link>
	<title><![CDATA[World promising health companies !]]></title>
	<description><![CDATA[<p>The health care industry is expected to sustain stable growth over the next decade for a variety of reasons. Advances in medicine have prolonged the average lifespans of most people, requiring more health care treatments over longer terms. In years past, once people turned 65 and enrolled in Medicare, they were expected to live another 10 to 20 years.</p><p>Biohub&nbsp;is a joint collaborative effort by Berkeley, UCSF and Stanford for a&nbsp;medical&nbsp;science research center funded by a $600 million commitment from&nbsp;Facebook&nbsp;CEO and founder Mark Zuckerberg and his wife Priscilla Chan. It is trademarked as well as CZ&nbsp;Biohub. It is currently&nbsp;co-led by Stephen Quake and Joseph DeRisi.</p><p>More at&nbsp;<a href="https://www.czbiohub.org/">https://www.czbiohub.org/</a></p><p><span>Calico LLC is an American research and development biotech company founded on September 18, 2013 by Bill Maris and backed by Google with the goal of combating aging and associated diseases. In Google's 2013 Founders' Letter, Larry Page described Calico as a company focused on "health, well-being, and longevity".</span></p><p><span>More at&nbsp;<a href="https://www.calicolabs.com/">https://www.calicolabs.com/</a></span></p><p><span><span>UnitedHealth Group, Inc. (</span><a href="https://www.investopedia.com/markets/quote?tvwidgetsymbol=unh">UNH</a><span>) is the largest health care services company in the world, serving over 50 million individuals in the United States as of late 2018 and 5 million in Brazil. The company provides a wide range of health care products and services, such as health maintenance organizations (HMOs), point of service plans (POS),&nbsp;</span><a href="https://www.investopedia.com/terms/p/preferred-provider-organization.asp">preferred provider organizations (PPOs)</a><span>, and managed fee-for-service programs.</span></span></p><p><span>More at&nbsp;<a href="https://www.unitedhealthgroup.com/">https://www.unitedhealthgroup.com/</a></span></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/13999/tedxcopenhagen-morten-sommer-what-bacteria-means-for-the-good-life</guid>
	<pubDate>Wed, 13 Aug 2014 05:07:19 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/13999/tedxcopenhagen-morten-sommer-what-bacteria-means-for-the-good-life</link>
	<title><![CDATA[TEDxCopenhagen - Morten Sommer - What Bacteria Means for the Good Life]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/aji0_ycIU0E" frameborder="0" allowfullscreen></iframe><p>Scientist and entrepreneur Morten Sommer will talk about how bacteria and microbes form an integral part of the human body and play a significant role in controlling human health and well About TEDx, x = independently organized event: In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)</p>]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/35257/india-and-germany-to-begin-joint-research-in-the-area-of-bioinformatics-in-health-research</guid>
	<pubDate>Wed, 17 Jan 2018 14:10:36 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/35257/india-and-germany-to-begin-joint-research-in-the-area-of-bioinformatics-in-health-research</link>
	<title><![CDATA[India and Germany to begin joint research in the area of 'Bioinformatics in Health Research']]></title>
	<description><![CDATA[<p><span>To facilitate bilateral cooperation in biotechnology between the scientific communities of India and Germany, the Department of Biotechnology (DBT) will soon begin collaborative research in the identified priority area of 'Bioinformatics in Health Research' under the programme of Indo-German Cooperation in Health Research.&nbsp;</span><br /><br /><span>The purpose of the programme is to stimulate new collaborations, e.g. the preparation of joint projects under national funding programmes. The programme facilitates bilateral cooperation in biotechnology between the scientific communities of India and Germany by way of joint research projects which will encompass bilateral workshops/seminar and exchange visits of scientists.&nbsp;</span><br /><br /><span>The programme is being implemented within the agreement of Indo-German cooperation in S&amp;T of 1974, under which the Department of Biotechnology, Government of India and Forschungszentrum Julich BMBH (FZJ), Federal Republic of Germany, have agreed for cooperative programme in biotechnology.</span><br /><br /><span>DBT of the Ministry of Science &amp; Technology, Government of India and the Project Management Agency at the German Aerospace Center (DLR-PT, European and International Cooperation), Bonn are the nodal implementing agencies from the Indian and German side respectively.</span><br /><br /><span>Through this programme, it is expected that the funded cooperation enables the partners to develop applicable scientific results which can be published and/ or could be commercialised and may lead to formation of joint ventures. All publications, patents coming out of these projects, need to be jointly authored by both Indian and German scientists. All necessary approvals like ethical clearance, HMSC approval from Indian point of view as well as EU, if applicable, from German point of view, e.g. before conducting animal experimentation if any needs to be obtained by PIs before undertaking the project.&nbsp;</span><br /><br /><span>Now, both the nodal agencies have invited research proposals in identified priority area of 'Bioinformatics in Health Research' from eligible scientists.&nbsp; Joint research projects are required to be submitted to both the nodal agencies by 15 January 2018. Scientists/faculty members working in regular capacity in universities, national R&amp;D laboratories/institutes and private R&amp;D institutes can be part of this joint research programme.&nbsp;&nbsp; For the private sector, partners from all kind of private sectors are eligible, but financing is limited. For Indian scientists from the private sector, only local hospitality in Germany as part of the exchange visit is available from the German side.&nbsp; For German scientists from the private sector, only travel costs are available for small and medium size enterprises (for definition of SME ref. to 2003/361/EC) as well as local hospitality in India will be borne by themselves.</span></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/856/papenfuss-lab</guid>
  <pubDate>Sun, 14 Jul 2013 12:22:28 -0500</pubDate>
  <link></link>
  <title><![CDATA[Papenfuss Lab]]></title>
  <description><![CDATA[
<p>The human genome project and similar projects in disease-causing organisms such as Plasmodium falciparum, which causes malaria in humans, have provided new tools for discovery in biology and have accelerated the development of understanding in human disease.</p>

<p>Research Area: <br />Analysis of Next Generation sequence data in cancer<br />Methods for analysis of structural variation in cancer genomes<br />Next Generation sequencing in malaria<br />Computational comparative genomics<br />Sensitive genomic sequence search techniques using hidden Markov models<br />Tasmanian devil facial tumour disease</p>

<p>Link @ http://www.wehi.edu.au/faculty_members/dr_tony_papenfuss</p>
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