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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/32379?offset=790</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/5623/yau-group</guid>
  <pubDate>Tue, 15 Oct 2013 13:05:15 -0500</pubDate>
  <link></link>
  <title><![CDATA[Yau Group]]></title>
  <description><![CDATA[
<p>Yau Group are a new research group based at the Wellcome Trust Centre for Human Genetics and the Department of Statistics at the University of Oxford.</p>

<p>Yau Group develops statistical and computational methods for the analysis of genomic datasets with a particular interest in cancer sequencing applications and the use of Bayesian Statistics.</p>

<p>Yau Group are currently have projects in somatic mutation analysis of heterogeneous cancers, data fusion or integration techniques and single cell genomics.</p>

<p>More @ http://www.well.ox.ac.uk/~cyau/index.html</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/34369/scfbio-have-developed-sanjeevini</guid>
	<pubDate>Fri, 17 Nov 2017 07:55:49 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/34369/scfbio-have-developed-sanjeevini</link>
	<title><![CDATA[SCFBio have developed Sanjeevini]]></title>
	<description><![CDATA[<p><span>SCFBio have developed a new android based application for drug design called&nbsp;</span><strong>Sanjeevini</strong><span>&nbsp;(</span><a href="https://play.google.com/store/apps/details?id=com.sanjeevini&amp;hl=en" target="_blank">https://play.google.com/store/apps/details?id=com.sanjeevini&amp;hl=en</a><span>). It is available free of charge. You can download it using Google play store. Just search for&nbsp;</span><strong>"Sanjeevini-SCFBIO-CADD</strong><span>" in Google play store. It contains all modules used by current Sanjeevini users. We have worked towards making a unified and easy to use interface. The app now supports all major small molecule file formats (pdb, mol, sdf, mol2 and xyz). The application contains inbuilt visualizer JSmol for easy analysis of results. Users can now directly download the protein files from PDB ("Get protein PDB file" in `FILE` Menu) and prepare it using the easy to use in-built module "Prepare protein/DNA".</span><br /><br /><span><span>SCFBio</span>&nbsp;have worked towards making the process of Job retrieval more streamlined and user friendly. All jobs are now recorded in the "Job results". It can be accessed using the main page of the application. Job status can now be retrieved by clicking on the refresh button against the job ID.</span><br /><br /><span><span>SCFBio</span>&nbsp;have also added a new feature of accessing Jobs run on different android application. Users can retrieve jobs run by other users by sharing the job ID and module name. This feature can be accessed using the Import Jobs option in File menu. We hope this feature will help collaborating groups stay in touch with each other.</span><br /><br /><span>The module contains all modules of Sanjeevini suite of software for structure based Drug design.</span><br /><br /></p><table width="630" cellspacing="0" cellpadding="7">
<thead>
<tr>
<td><strong>Sl No.</strong></td>
<td><strong>Module name</strong></td>
<td><strong>Activity</strong></td>
</tr>
</thead>
<tbody>
<tr>
<td>1</td>
<td>Prepare Protein/DNA</td>
<td>Prepares protein/DNA for other modules of Sanjeevini</td>
</tr>
<tr>
<td>2</td>
<td>Prepare ligand</td>
<td>Prepares ligands for other modules of Sanjeevini</td>
</tr>
<tr>
<td>3</td>
<td>Active site Prediction</td>
<td>Predicts biologically relevant sites in a protein</td>
</tr>
<tr>
<td>4</td>
<td>ParDOCK</td>
<td>Rigid Docking of Protein-Ligand complex</td>
</tr>
<tr>
<td>5</td>
<td>BAPPL</td>
<td>Binding affinity prediction of Protein-Ligand complex</td>
</tr>
<tr>
<td>6</td>
<td>BAPPL Z</td>
<td>Binding affinity prediction of Protein-Zinc-Ligand complex</td>
</tr>
<tr>
<td>7</td>
<td>DNA ligand Docking</td>
<td>Rigid Docking of DNA-Ligand complex</td>
</tr>
<tr>
<td>8</td>
<td>PreDDICTA</td>
<td>Binding affinity prediction of DNA-Ligand complex</td>
</tr>
<tr>
<td>9</td>
<td>SOM Prediction</td>
<td>Rigid Docking of Ligand and CYP proteins</td>
</tr>
<tr>
<td>10</td>
<td>Lipinski filters</td>
<td>Checks Lipinski's rule of five for ligand molecule</td>
</tr>
<tr>
<td>11</td>
<td>Molecular volume</td>
<td>Calculates volume of a ligand</td>
</tr>
<tr>
<td>12</td>
<td>RASPD</td>
<td>Virtual screening of protein molecule to yield hit molecules</td>
</tr>
<tr>
<td>13</td>
<td>AADS</td>
<td>Prediction and docking of top 10 biologically relevant sites on protein</td>
</tr>
<tr>
<td>14</td>
<td>Intercalate</td>
<td>Rigid Docking of DNA-Ligand complex in intercalation sites</td>
</tr>
<tr>
<td>15</td>
<td>DNA sequence to str.</td>
<td>Converts DNA sequence to DNA structure (A-DNA or B-DNA)</td>
</tr>
<tr>
<td>16</td>
<td>NRDBSM</td>
<td>Non-redundant database of small molecules</td>
</tr>
<tr>
<td>17</td>
<td>TPACM4</td>
<td>Partial charge calculator for small molecules</td>
</tr>
<tr>
<td>18</td>
<td>Wiener index</td>
<td>Wiener index calculator for small molecules</td>
</tr>
</tbody>
</table><p><strong>The results can be downloaded to the PC desktop for further analysis</strong><span>. For this you can use this accompanying website for this purpose:</span><br /><a href="http://www.scfbio-iitd.res.in/sanjapp/webSearch/Sanjeevini_webpage.html" target="_blank">http://www.scfbio-iitd.res.in/sanjapp/webSearch/Sanjeevini_webpage.html</a><br /><br /><span>On more information on how to use the application please visit:&nbsp;</span><a href="http://scfbio-iitd.res.in/sanjapp/webSearch/doc.html" target="_blank">http://scfbio-iitd.res.in/sanjapp/webSearch/doc.html</a><br /><span>or</span><br /><a href="http://scfbio-iitd.res.in/sanjeeviniapp/tut.html" target="_blank">http://scfbio-iitd.res.in/sanjeeviniapp/tut.html</a><br /><br /><span>Please email us your valuable comments and suggestions at&nbsp;</span><a href="mailto:iitd.scfbio@gmail.com" target="_blank">iitd.scfbio@gmail.com</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7218/associate-professor-centre-for-bioinformatics-at-maharshi-dayanand-university-rohtak</guid>
  <pubDate>Thu, 12 Dec 2013 20:49:59 -0600</pubDate>
  <link></link>
  <title><![CDATA[Associate Professor - Centre for Bioinformatics at Maharshi Dayanand University, Rohtak]]></title>
  <description><![CDATA[
<p>ADVERTISEMENT No. PR-54/2013</p>

<p>No. of Posts and Specialization: 1(UR)</p>

<p>Educational Qualification:</p>

<p>(i) Good academic record with a Ph.D. Degree in the concerned /allied /relevant disciplines.</p>

<p>(ii) The Ph.D. Degree shall be a mandatory qualification for all candidates to be appointed as Associate Professor through direct recruitment.</p>

<p>(iii) A Master‟s Degree with at least 55% marks (or an equivalent grade in a point scale wherever grading system is followed).</p>

<p>(iv) A minimum of eight years of experience of teaching and /or research in an academic /research position equivalent to that of Assistant Professor in a University, College or Accredited Research Institution/Industry excluding the period of Ph.D research with evidence of published work and a minimum of 5 publications as books and /or research papers in refereed journals only/policy papers.</p>

<p>(v) Contribution to educations innovation, design of new curricula and courses and technology-mediated teaching learning process with evidence of having guided doctoral candidates and research students.</p>

<p>(vi) A minimum score as stipulated in the Academic Performance Indicator (API) based performance Based Appraisal System (PBAS), set out in this notification in as mentioned in the advertisement.</p>

<p>Send your application to the A.R (Estt.Teaching), M.D.University, Rohtak on or before December 23, 2013.</p>

<p>For more details: http://www.mdurohtak.ac.in/pdf/Notices_Pdf/new_notice/Teaching%20Vacancy%20%28ADVT.%20No.%20PR-54%20of%202013%29.pdf</p>

<p>Last Apply Date: 23 Dec 2013</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38055/ancestral-genomes-a-resource-for-reconstructed-ancestral-genes-and-genomes-across-the-tree-of-life</guid>
	<pubDate>Fri, 02 Nov 2018 08:16:27 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38055/ancestral-genomes-a-resource-for-reconstructed-ancestral-genes-and-genomes-across-the-tree-of-life</link>
	<title><![CDATA[Ancestral Genomes: a resource for reconstructed ancestral genes and genomes across the tree of life]]></title>
	<description><![CDATA[<p><span>&nbsp;Ancestral Genomes (</span><a href="http://ancestralgenomes.org/" target="">http://ancestralgenomes.org</a><span>) is a resource for comprehensive reconstructions of these &lsquo;fossil genomes&rsquo;. Comprehensive sets of protein-coding genes have been reconstructed for 78 genomes of now-extinct species that were the common ancestors of extant species from across the tree of life.&nbsp;</span></p><p>Address of the bookmark: <a href="http://ancestralgenomes.org/" rel="nofollow">http://ancestralgenomes.org/</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/5888/nit-calicut-faculty-jobs-2013-in-bioinformatics</guid>
  <pubDate>Thu, 24 Oct 2013 13:00:37 -0500</pubDate>
  <link></link>
  <title><![CDATA[NIT Calicut Faculty Jobs 2013 in Bioinformatics]]></title>
  <description><![CDATA[
<p>NATIONAL INSTITUTE OF TECHNOLOGY CALICUT, KERALA</p>

<p>NOTIFICATION FOR FACULTY RECRUITMENT – 2013</p>

<p>(Faculty openings in Technology, Science, Architecture and Management at NIT Calicut, Kerala)</p>

<p>National Institute of Technology Calicut, Kerala, established under Act XXIX/ 2007of the Parliament is one of the leading technological institutions in the Country with nearly 6000 students enrolled for various UG, PG and Ph.D. programmes in Technology, Science, Architecture and Management. The Institute invites applications from Indian nationals, possessing consistent excellent academic record, commitment to quality teaching and potential for carrying out outstanding research, for the post of Assistant Professors in various departments against the backlog reserved vacancies for Scheduled Caste (SC), Scheduled Tribe (ST), Other Backward Communities (OBC) and Persons with Disabilities (PWDs) and also under open merit quota as detailed below. Candidates belonging to SC, ST and OBC desirous of considering for selection under UR category also shall specifically indicate so in column 4.</p>

<p>Reservation quota for PWDs will be counted against the respective community. Young, meritorious, dynamic and student friendly academicians are welcome to join hands with the existing team in their effort to transform this Institute to a world class educational institution.</p>

<p>Candidates possessing Ph.D. degree will be considered for appointment on contract basis initially.</p>

<p>They will be considered for movement to AGP `7000 after one year of satisfactory performance.</p>

<p>Meritorious candidates possessing M.Tech./M.Phil. (*) with remarkably good potential to carry out outstanding research and already pursuing Ph.D. or aspiring to pursue Ph.D. will also be considered for appointment on contract, initially for a period of 3 years, extendable for a further period of 2 years on a year to year basis or till the candidate acquires Ph.D. degree whichever is earlier. Renewal of contract<br />will be done on an annual basis, subject to satisfactory progress of Ph.D. work, good conduct and good performance in teaching. Faculty appointed on contract basis will not be treated as regular staff till they are regularized, subject to the conditions stated earlier. The Institute has adopted 4-tier flexible faculty structure recommended by MHRD. </p>

<p>More Info : http://www.nitc.ac.in/index.php/?url=content/submenu/2345/5</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42042/cluego-a-cytoscape-plug-in-that-visualizes-the-non-redundant-biological-terms-for-large-clusters-of-genes</guid>
	<pubDate>Thu, 13 Aug 2020 10:24:29 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42042/cluego-a-cytoscape-plug-in-that-visualizes-the-non-redundant-biological-terms-for-large-clusters-of-genes</link>
	<title><![CDATA[ClueGO: a Cytoscape plug-in that visualizes the non-redundant biological terms for large clusters of genes]]></title>
	<description><![CDATA[<p>ClueGO is a Cytoscape plug-in that visualizes the non-redundant biological terms for large clusters of genes in a functionally grouped network and it can be used in combination with GOlorize. The identifiers can be uploaded from a text file or interactively from a network of Cytoscape. The type of identifiers supported can be easely extended by the user. ClueGO performs single cluster analysis and comparison of clusters. From the ontology sources used, the terms are selected by different filter criteria. The related terms which share similar associated genes can be fused to reduce redundancy. The ClueGO network is created with kappa statistics and reflects the relationships between the terms based on the similarity of their associated genes. On the network, the node colour can be switched between functional groups and clusters distribution. ClueGO charts are underlying the specificity and the common aspects of the biological role. The significance of the terms and groups is automatically calculated. ClueGO is easy updatable with the newest files from Gene Ontology and KEGG.</p><p>Address of the bookmark: <a href="http://www.ici.upmc.fr/cluego/" rel="nofollow">http://www.ici.upmc.fr/cluego/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/5958/srfjrf-national-institute-of-immunology</guid>
  <pubDate>Wed, 30 Oct 2013 06:45:57 -0500</pubDate>
  <link></link>
  <title><![CDATA[SRF/JRF @ National Institute of Immunology]]></title>
  <description><![CDATA[
<p>ADVERTISEMENT OF WALK-IN-INTERVIEW</p>

<p>NAME OF THE POST : SRF/JRF (Four Posts only)</p>

<p>DURATION : Indicated with the respective project mentioned below:</p>

<p>NAME OF THE PROJECT : As Mentioned below:</p>

<p>1. Serological diversity and molecular characterization of Dichelobector nodusus and development of vaccine against virulent footroot funded by NAIP. (Tenable upto 31.03.2014)</p>

<p>2. Development of oral vaccine against Clostridium perfringenes employing translational fusion of immunodominant epitopes of beta toxin with heat labile entertoxin B funded by DBT. (Tenable upto 25.02.2014)</p>

<p>3. Indo-Norwegian project, “Evaluation of major porins, ompC and ompR of Areomonas hydrophila as potential vaccine candidates and identification and characterization of immune genes of Indian major carp, Labeo rohita” (Tenable upto 31.03.2014)</p>

<p>EDUCATIONAL QUALIFICATIONS: For JRF- M.Sc/M.Tech in any subject of Biological  Sciences/Life Sciences</p>

<p>For SRF- M.Sc/M.Tech in any subject of Biological Sciences/Life Sciences with 2 years of Research Experience.</p>

<p>JOB DESCRIPTION : The Candidate should have experience in gene Expression, protein purification, molecular biology techniques and bioinformatics<br />EMOLUMENTS : SRF: Rs. 18,000/- per month consolidated plus 30% HRA if /NET/GATE qualified otherwise Rs. 14,000/- per month consolidated + 30% HRA.</p>

<p>JRF: Rs. 16,000/- per month consolidated + 30% HRA if NET/GATE qualified otherwise Rs. 12,000/- per month consolidated + 30% HRA</p>

<p>SCIENTIST NAME : Dr. Lalit C. Garg, SS-VII (Gene Regulation Lab)</p>

<p>SCIENTIST’S EMAIL : lalit@nii.ac.in</p>

<p>WALK IN INTERVIEW ON : October 31st, 2013</p>

<p>REGISTRATION OF CANDIDATES: 10.30 AM to 11.00 AM </p>

<p>Advertisement: http://www1.nii.res.in/sites/default/files/project-Dr.Lalit-31oct2013.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43013/deg-50-a-database-of-essential-genes-in-both-prokaryotes-and-eukaryotes</guid>
	<pubDate>Tue, 30 Mar 2021 11:47:29 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43013/deg-50-a-database-of-essential-genes-in-both-prokaryotes-and-eukaryotes</link>
	<title><![CDATA[DEG 5.0: a database of essential genes in both prokaryotes and eukaryotes]]></title>
	<description><![CDATA[<p><span>Essential genes are those indispensable for the survival of an organism, and their functions are therefore considered a foundation of life. Determination of a minimal gene set needed to sustain a life form, a fundamental question in biology, plays a key role in the emerging field, synthetic biology. </span></p>
<p><span></span><span>DEG is freely available at the website&nbsp;</span><a href="http://tubic.tju.edu.cn/deg" target="_blank">http://tubic.tju.edu.cn/deg</a><span>&nbsp;or&nbsp;</span><a href="http://www.essentialgene.org/" target="_blank">http://www.essentialgene.org</a><span>.</span></p><p>Address of the bookmark: <a href="http://www.essentialgene.org/" rel="nofollow">http://www.essentialgene.org/</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/6104/incob-2014</guid>
  <pubDate>Thu, 07 Nov 2013 17:53:36 -0600</pubDate>
  <link></link>
  <title><![CDATA[InCoB 2014]]></title>
  <description><![CDATA[
<p>The 13th International Conference on Bioinformatics (InCoB 2014) will be held in Novotel Sydney Brighton Beach, Sydney, New South Wales, Australia. This year, the InCoB will be held earlier from 31st July to 2nd August 2014 to run back-to-back with the International Biophysics Congress 2014 at the Brisbane Convention and Exhibition Centre, Queensland (3-7 Aug).</p>

<p>More at http://incob2014.org/</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44479/doubletrouble-identify-duplicated-genes-from-whole-genome-protein-sequences-and-classify</guid>
	<pubDate>Tue, 05 Mar 2024 00:23:49 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44479/doubletrouble-identify-duplicated-genes-from-whole-genome-protein-sequences-and-classify</link>
	<title><![CDATA[doubletrouble: identify duplicated genes from whole-genome protein sequences and classify]]></title>
	<description><![CDATA[<p><span>doubletrouble aims to identify duplicated genes from whole-genome protein sequences and classify them based on their modes of duplication. The duplication modes are i. segmental duplication (SD); ii. tandem duplication (TD); iii. proximal duplication (PD); iv. transposed duplication (TRD) and; v. dispersed duplication (DD). Transposon-derived duplicates (TRD) can be further subdivided into rTRD (retrotransposon-derived duplication) and dTRD (DNA transposon-derived duplication). If users want a simpler classification scheme, duplicates can also be classified into SD- and SSD-derived (small-scale duplication) gene pairs. Besides classifying gene pairs, users can also classify genes, so that each gene is assigned a unique mode of duplication. Users can also calculate substitution rates per substitution site (i.e., Ka and Ks) from duplicate pairs, find peaks in Ks distributions with Gaussian Mixture Models (GMMs), and classify gene pairs into age groups based on Ks peaks.</span></p><p>Address of the bookmark: <a href="https://bioconductor.org/packages/release/bioc/html/doubletrouble.html" rel="nofollow">https://bioconductor.org/packages/release/bioc/html/doubletrouble.html</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
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