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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/44756?offset=60</link>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21680/research-associate-at-national-research-centre-on-plant-biotechnology-new-delhi</guid>
  <pubDate>Mon, 16 Mar 2015 03:22:26 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Associate at National Research Centre on Plant Biotechnology New Delhi]]></title>
  <description><![CDATA[
<p>Walk-in interview will be held on 24-03-2015 at 10:00 AM at NRCPB, New Delhi for filling Research Associate and Senior Research Fellow positions as mentioned below. The positions are temporary and are initially offered for a period of one year. Details such as emoluments, qualifications, application format etc., are given below. Desirous candidates should report for interview latest by 10:30 AM with the application in the prescribed format, copies and originals of certificates, thesis and documents. No TA/DA will be provided for attending the interview.</p>

<p>ICAR-NPTC: Fibre development in flax/linseed.</p>

<p>(Job # 1) Research Associate (one) (Bioinformatics)</p>

<p>Rs.24000+ 30% HRA) for Ph.D. and for M. Sc Rs.23000/‐ (+ 30% HRA)</p>

<p>Ph.D. Degree in Bioinformatics/Molecular Biology/Biotechnology/ Genetics/allied sciences; or M. Sc in Bioinformatics/ Biotechnology/Life Sciences/ allied sciences with 1st division or 60% marks or equivalent overall grade point average with at least two years of research experience as evidenced from Fellowship/ Associate ship. 2 years research experience in bioinformatic data analysis/molecular biology techniques, and high throughput DNA/RNA sequencing, and transcriptome data analysis. Research paper with IF&gt;1 will be desirable</p>

<p>ICAR-NPTC: Shade avoidance/low-light tolerance in rice.</p>

<p>General Terms &amp; Conditions applicable to all the positions: <br />Age Limit: 35 years max. (5 years relaxation for SC/ST/OBC and woman candidates as per ICAR rules). <br />The positions are purely temporary, on a contractual basis and are initially offered for one year. <br />Originals must be shown for verification. 7. Research experience (Experience certificate from previous employer to be attached): I hereby declare that the information provided above is true to the best of my knowledge. Date: Signature</p>

<p>Advertisement:</p>

<p>www.nrcpb.org/sites/default/files/ICAR-NPTC%20DBT%20RA%20SRF%20interview%2024th%20March.pdf</p>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/24264/cancer-research-database</guid>
	<pubDate>Tue, 01 Sep 2015 17:36:31 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/24264/cancer-research-database</link>
	<title><![CDATA[Cancer research database]]></title>
	<description><![CDATA[<p>Researchers in Andhra Pradesh have developed a database to identify genes that are common in tumours to provide their colleagues with easy access to insights into the genetic alterations in cancer.<br /> &nbsp;<br /> The database, hosted at the Sri Venkateswara University (SVU) in Tirupati, will integrate information on cancer genes and markers with experimental data.<br /> &nbsp;<br /> The <a href="http://cgmd.in/" target="_blank">Cancer Gene Markers Database</a> (CGMD) is meant to help scientists better understand tumour genes and markers at a molecular level by combining data with literature on treatment regimen and recent advances in cancer therapy.<br /> <br /> The database is free to access, and already includes 309 genes and 206 markers that correspond to 40 different human cancers. Accompanying literature comes from databases such as the United States&rsquo; <a href="http://www.ncbi.nlm.nih.gov/" target="_blank">National Center for Biotechnology Information</a> and the <a href="http://www.genome.jp/kegg/" target="_blank">Kyoto Encyclopedia of Genes and Genomes</a>. It also includes experimental data from <a href="http://www.ncbi.nlm.nih.gov/pubmed" target="_blank">PubMed</a>.<br /> <br /> In a paper <a href="http://dx.doi.org/10.1038/srep12035" target="_blank">published</a> last month in <em>Nature Scientific Reports</em>, the researchers from SVU&rsquo;s department of animal biotechnology, describes the need for a database for different genes and markers along with their molecular characteristics and pathway associations.</p>]]></description>
	<dc:creator>Neel</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26306/busco</guid>
	<pubDate>Sun, 07 Feb 2016 16:02:39 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26306/busco</link>
	<title><![CDATA[BUSCO]]></title>
	<description><![CDATA[<p>Assessing genome assembly and annotation completeness with Benchmarking Universal Single-Copy Orthologs</p>
<p>More at http://busco.ezlab.org/</p><p>Address of the bookmark: <a href="http://busco.ezlab.org/" rel="nofollow">http://busco.ezlab.org/</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/27473/project-assistantjunior-research-fellow-position-at-centre-of-biomedical-research-sanjay-gandhi-postgraduate-institute-of-medical-sciences-campus-lucknow</guid>
  <pubDate>Mon, 23 May 2016 01:31:29 -0500</pubDate>
  <link></link>
  <title><![CDATA[Project Assistant/Junior Research Fellow Position at  Centre of Biomedical Research, Sanjay Gandhi Postgraduate Institute of Medical Sciences Campus, Lucknow.]]></title>
  <description><![CDATA[
<p>Applications are invited from eligible candidates willing to join in a Department of Science and Technology (DST) project entitled “"Mapping neural regions involved in reading process in skilled adult Deaf reader: From neuroimaging perspective (functional Magnetic Resonance Imaging (fMRI) and Diffuse Tensor Imaging (DTI.)" as a Project Assistant/Junior Research Fellow (JRF) at Centre of Biomedical Research, Sanjay Gandhi Postgraduate Institute of Medical Sciences Campus, Lucknow.</p>

<p>Essential Qualification:</p>

<p>1. Master's degree in Bioinformatics / Computer Applications / Cognitive Science /Neuroscience/ Neuropsychology or equivalent. (Advantage will be given to NET JRF qualified candidate) Additional</p>

<p>Desirable Skills:</p>

<p>1) Programming skills (e.g., C++, Matlab, Python) 2) Experience/competent in working Window and Linux based programme.</p>

<p>Please mail your CV and covering letter to dr.uttam.kumar@gmail.com.</p>

<p>To know more about lab works please visit http://uttambrainlab.co.in/lab/.</p>

<p>Last date: 15/06/16</p>

<p>Advertisement: http://cbmr.res.in/wp-content/uploads/2016/05/Advertisement-19-5-2016.pdf</p>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/32227/postdoctoral-research-position-in-bioinformatics-in-milan</guid>
  <pubDate>Thu, 20 Apr 2017 12:53:12 -0500</pubDate>
  <link></link>
  <title><![CDATA[Postdoctoral Research Position in Bioinformatics in Milan]]></title>
  <description><![CDATA[
<p>The lab of Immunobiology of Neurological Disorders has a main interest in the biological processes associated with multiple sclerosis, an inflammatory disorder of the central nervous system. The projects of interest for this application involve research on translational bioinformatics in complex human neurological disorders.</p>

<p>You have a  PhD in Computational Science, Bioinformatics,  or equivalent, and expertise in analysis and modeling of human RNA-seq data, statistics, data mining and machine learning. Excellent communication skills in English (written and oral) is a must. Flexibility and willingness to work across multiple projects and technologies in a rapidly evolving scientific context is required.<br />Salary will depend on qualification and experience. Starting date: immediate.</p>

<p>Interested candidates should send to farina.cinthia@hsr.it:</p>

<p>1. CV (please show evidences of relevant titles, projects, courses, references, etc.)           <br />2. One page with a list of research topics (i.e. ongoing projects)     <br />3. earliest availability</p>

<p>4. 2-3 contact names</p>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/39695/nbri-research-recruitment-2019</guid>
  <pubDate>Thu, 11 Jul 2019 01:11:34 -0500</pubDate>
  <link></link>
  <title><![CDATA[NBRI Research Recruitment 2019]]></title>
  <description><![CDATA[
<p>NBRI Recruitment 2019: National Botanical Research Institute (NBRI) has issued the Recruitment Notification of Principal Scientist, Senior Principal Scientist, Senior Scientist, Scientist Jobs for 12 Vacancies. The organization has invited Offline applications for NBRI Recruitment 2019. This is a good opportunity for the candidates who are waiting to find an employment opportunity in Govt Sectors. Job Seekers must focus on all the Latest Job Vacancies available in the NBRI. So Applicants who have qualified in Ph.D. in any Science Subject are eligible for these posts given in the Official Notification can apply Offline by downloading the Application form of NBRI and apply on or before 31st July 2019.</p>

<p>More at https://www.nbri.res.in/uploads/new/Advt.%2001%20of%202019.pdf</p>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/42141/dbt-biotechnology-eligibility-test-bet-2020</guid>
	<pubDate>Fri, 21 Aug 2020 09:17:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/42141/dbt-biotechnology-eligibility-test-bet-2020</link>
	<title><![CDATA[DBT BIOTECHNOLOGY ELIGIBILITY TEST (BET) 2020]]></title>
	<description><![CDATA[<p><span>Ministry of Science &amp;Technology, Govt. of India</span></p><p><span>DBT-Junior Research Fellowship (DBT-JRF) in Biotechnology (2020)</span></p><p><span><span>BIOTECHNOLOGY ELIGIBILITY TEST (BET) 2020</span></span></p><p>Applications are invited from bonafide Indian citizens, residing in India for award of &ldquo;DBT-Junior Research Fellowship&rdquo; (DBT-JRF) for pursuing research in frontier areas of Biotechnology and Life Sciences. The candidates will be selected through &ldquo;Biotechnology Eligibility Test (BET)&rdquo;. Based on the performance in BET, two categories of merit list will be prepared (Category-I and Category-II). Government of India norms for reservation will be followed for selection. Candidates selected under category-I will be eligible to avail fellowship under the programme. These will be tenable at any University/Institute in India where the selected candidate registers for PhD Programme. Candidates selected under Category-II will be eligible to be appointed in any DBT sponsored project and avail fellowship from the project equivalent to NET/GATE, subject to selection through institutional selection process. There will be no binding on Principal Investigators of DBT sponsored projects to select JRF for their project from category-II list. Selection in category-II will not entitle student for any fellowship from DBT-JRF programme.</p><p><span>ELIGIBILITY</span></p><p><span>Qualification</span>: M.Sc./ M.Tech./ M.V.Sc. or equivalent degree/ Integrated BS-MS/ B.E./ B.Tech. in any discipline of&nbsp;<a href="https://www.biotecnika.org/category/jobs/biotech-jobs/">Biotechnology</a>, M.Sc./ M.Tech. Bioinformatics/ Computational Biology, students admitted under DBT supported Postgraduate Teaching Programs. M.Sc. Life Science/ Bioscience/ Zoology/ Botany/ Microbiology/ Biochemistry/ Biophysics and Masters in Allied areas of Biology/Life Sciences. Candidates appearing in the final year examination are also eligible to apply.</p><p><span>Marks</span>: Minimum 60% marks for General, EWS &amp; OBC category and 55% for SC/ ST/ Differently abled in aggregate (or equivalent grade).</p><p><span>Age Limit</span>: Upto 28 years as on the last date of application for General &amp; EWS category. Age relaxation of up to 5 years (33 years) for SC/ ST/ Differently Abled/ women candidates and upto 3 years (31 years) for OBC (Non-Creamy Layer) candidates.</p><p>For detailed procedure for filling the application form, payment of application fee and uploading of required documents/ certificates in the prescribed format, please visit:&nbsp;<span><a href="http://rcb.res.in/BET2020" target="_blank">http://rcb.res.in/BET2020</a></span>. A non-refundable and non-transferable application fee of Rs. 1000/-is payable online by General/ OBC/ EWS candidates and Rs 250/- by SC/ ST/ Differently abled candidates.</p><p><span>IMPORTANT DATES</span></p><table width="691">
<tbody>
<tr>
<td>Online Registration Start</td>
<td><span>April 20, 2020</span></td>
</tr>
<tr>
<td>Online Registration Close</td>
<td><span>May 18, 2020</span></td>
</tr>
<tr>
<td>BET 2020</td>
<td><span>June 30, 2020 (Tuesday)* Tentative</span></td>
</tr>
<tr>
<td>Display of question paper and answer key on website</td>
<td><span>June 30, 2020</span></td>
</tr>
<tr>
<td>Last date of accepting representation of any discrepancy in Question paper &amp; Answer key</td>
<td><span>July 03, 2020</span></td>
</tr>
<tr>
<td>Declaration of BET 2020 Result</td>
<td><span>July 20, 2020</span></td>
</tr>
</tbody>
</table>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/43262/bioinformatics-research-scientist-oklahoma-state-university-osu</guid>
  <pubDate>Tue, 17 Aug 2021 13:24:39 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Research Scientist @ Oklahoma State University (OSU)]]></title>
  <description><![CDATA[
<p>This position is an early career research scientist in the area of Bioinformatics to support research projects involving faculty and staff, at Oklahoma State University (OSU). This is a highly technical position that requires a strong research background in biomedical or life sciences, including a high level of expertise with bioinformatics algorithms, databases, and analyses with a focus on next-generation sequence data. Although most of the projects will deal directly with the analysis of DNA and RNA sequence data the individual should be well versed in other types of data sources as well (i.e., microarrays) and handling of large datasets (using data analytics, machine learning, and deep learning techniques). </p>

<p>More at https://okstate.csod.com/ats/careersite/JobDetails.aspx?site=8&amp;id=9874</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44718/mycology-research-resources-for-bioinformaticians-unlocking-the-fungal-kingdom</guid>
	<pubDate>Fri, 13 Dec 2024 11:21:45 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44718/mycology-research-resources-for-bioinformaticians-unlocking-the-fungal-kingdom</link>
	<title><![CDATA[Mycology Research Resources for Bioinformaticians: Unlocking the Fungal Kingdom]]></title>
	<description><![CDATA[<p>Mycology, the study of fungi, is a field that bridges ecology, medicine, and biotechnology. With advancements in bioinformatics, researchers now have unprecedented opportunities to explore the fungal kingdom at molecular, genetic, and ecological levels. From understanding pathogenic fungi to harnessing fungal enzymes for industrial applications, the potential is vast.</p><p>To fully leverage these opportunities, bioinformaticians require specialized tools and databases. This blog highlights essential resources for mycology research, focusing on databases, tools, and platforms tailored for fungal biology.</p><h4><strong>1. Fungal Databases</strong></h4><h5><strong>1.1. MycoCosm</strong></h5><p><strong>Website</strong>: <a target="_new">MycoCosm</a><br />Developed by the DOE Joint Genome Institute, MycoCosm is a comprehensive portal for fungal genomics. It offers genomic and transcriptomic data for a wide range of fungi, including saprobes, pathogens, and symbionts.</p><ul>
<li><strong>Key Features</strong>: Genome browsers, comparative genomics tools, and functional annotations.</li>
<li><strong>Best For</strong>: Large-scale studies on fungal evolution and ecology.</li>
</ul><h5><strong>1.2. FungiDB</strong></h5><p><strong>Website</strong>: <a href="https://fungidb.org/" target="_new">FungiDB</a><br />FungiDB is an integrated genomic resource for fungal pathogens and non-pathogens. It provides access to genome sequences, transcriptomic data, and functional annotations.</p><ul>
<li><strong>Key Features</strong>: Advanced search options, BLAST, and pathway analysis tools.</li>
<li><strong>Best For</strong>: Studying fungal pathogenesis and host-pathogen interactions.</li>
</ul><h5><strong>1.3. Index Fungorum</strong></h5><p><strong>Website</strong>: <a href="http://www.indexfungorum.org/" target="_new">Index Fungorum</a><br />This nomenclatural database provides information on the scientific names of fungi. It&rsquo;s an essential resource for taxonomists and researchers focused on fungal biodiversity.</p><ul>
<li><strong>Key Features</strong>: Taxonomic hierarchy and synonymy tracking.</li>
<li><strong>Best For</strong>: Identifying and classifying fungal species.</li>
</ul><h5><strong>1.4. UNITE</strong></h5><p><strong>Website</strong>: <a target="_new">UNITE</a><br />UNITE is a specialized database for fungal ITS (Internal Transcribed Spacer) sequences, often used in fungal identification and phylogenetics.</p><ul>
<li><strong>Key Features</strong>: Curated reference datasets and community annotations.</li>
<li><strong>Best For</strong>: Environmental mycology and microbial ecology studies.</li>
</ul><h4><strong>2. Analytical Tools</strong></h4><h5><strong>2.1. Funannotate</strong></h5><p><strong>Repository</strong>: <a href="https://github.com/nextgenusfs/funannotate" target="_new">GitHub - Funannotate</a><br />Funannotate is a genome annotation tool designed for fungi. It supports tasks like gene prediction, functional annotation, and orthology analysis.</p><ul>
<li><strong>Best For</strong>: Annotating newly sequenced fungal genomes.</li>
</ul><h5><strong>2.2. BUSCO (Benchmarking Universal Single-Copy Orthologs)</strong></h5><p><strong>Website</strong>: <a target="_new">BUSCO</a><br />BUSCO evaluates genome assembly and annotation completeness using orthologs. It includes a fungal-specific dataset.</p><ul>
<li><strong>Best For</strong>: Assessing the quality of fungal genome assemblies.</li>
</ul><h5><strong>2.3. Pathogen-Host Interactions Database (PHI-base)</strong></h5><p><strong>Website</strong>: <a href="http://www.phi-base.org/" target="_new">PHI-base</a><br />PHI-base is a manually curated resource containing information on pathogen-host interactions, including fungal pathogens.</p><ul>
<li><strong>Best For</strong>: Exploring virulence factors and host-pathogen relationships.</li>
</ul><h4><strong>3. Visualization Platforms</strong></h4><h5><strong>3.1. Cytoscape</strong></h5><p><strong>Website</strong>: <a href="https://cytoscape.org/" target="_new">Cytoscape</a><br />A powerful tool for visualizing molecular interaction networks, Cytoscape can be used to study protein-protein interactions, gene networks, and metabolic pathways in fungi.</p><ul>
<li><strong>Best For</strong>: Network biology and functional genomics.</li>
</ul><h5><strong>3.2. iTOL (Interactive Tree of Life)</strong></h5><p><strong>Website</strong>: <a target="_new">iTOL</a><br />iTOL is an interactive tool for visualizing phylogenetic trees.</p><ul>
<li><strong>Best For</strong>: Displaying fungal phylogenies and comparing evolutionary relationships.</li>
</ul><h4><strong>4. Community Resources</strong></h4><h5><strong>4.1. Mycological Society of America (MSA)</strong></h5><p><strong>Website</strong>: <a href="https://msafungi.org/" target="_new">MSA</a><br />The MSA promotes fungal research and provides access to resources, conferences, and publications.</p><ul>
<li><strong>Best For</strong>: Networking with fungal researchers and accessing recent studies.</li>
</ul><h5><strong>4.2. OpenFungi</strong></h5><p><strong>Website</strong>: <a href="https://openfungi.org/" target="_new">OpenFungi</a><br />OpenFungi is an open-source initiative providing fungal genomic and transcriptomic datasets for research and education.</p><ul>
<li><strong>Best For</strong>: Sharing and accessing public fungal datasets.</li>
</ul><h4><strong>5. Genomics Workflows</strong></h4><h5><strong>5.1. Galaxy</strong></h5><p><strong>Website</strong>: <a href="https://usegalaxy.org/" target="_new">Galaxy Project</a><br />Galaxy offers a web-based platform for reproducible bioinformatics workflows, including tools for fungal genome and transcriptome analysis.</p><ul>
<li><strong>Best For</strong>: User-friendly analysis pipelines without requiring coding skills.</li>
</ul><h5><strong>5.2. Snakemake</strong></h5><p><strong>Repository</strong>: <a target="_new">Snakemake</a><br />A flexible pipeline management tool that supports fungal data processing and analysis.</p><ul>
<li><strong>Best For</strong>: Custom workflows for large-scale fungal datasets.</li>
</ul><h4><strong>Conclusion</strong></h4><p>Fungal research is a rapidly growing field with vast implications for medicine, agriculture, and industry. For bioinformaticians, the availability of specialized resources&mdash;databases, tools, and community platforms&mdash;opens doors to innovative discoveries. Whether you are investigating fungal genomics, studying host-pathogen interactions, or exploring fungal biodiversity, the resources outlined above will empower your research journey.</p><p>Dive into these resources and help unravel the mysteries of the fungal kingdom!</p>]]></description>
	<dc:creator>Neel</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/34912/list-of-cancer-genomics-research-web-resources</guid>
	<pubDate>Wed, 27 Dec 2017 20:33:09 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/34912/list-of-cancer-genomics-research-web-resources</link>
	<title><![CDATA[List of cancer genomics research web resources !]]></title>
	<description><![CDATA[<p>Major web resources for cancer genomics research</p><p>CGHub <br />https://cghub.ucsc.edu/ <br />Comprehensive data repository; huge data size</p><p>EGA <br />https://www.ebi.ac.uk/ega/ <br />Comprehensive data repository; huge data size</p><p>COSMIC <br />http://cancer.sanger.ac.uk <br />Largest somatic mutation database; genome sequencing paper curation</p><p>CPRG <br />http://www.broadinstitute.org/software/cprg <br />Interface for cancer program resources</p><p>GDAC <br />http://gdac.broadinstitute.org/ <br />Data analysis; automatic pipelines; user-friendly reports</p><p>SNP500Cancer <br />http://snp500cancer.nci.nih.gov <br />Sequence and genotype verification of SNPs</p><p>canEvolve <br />www.canevolve.org/ <br />Comprehensive analysis of tumor profile; Data from 90 studies involving more than 10,000 patients</p><p>MethyCancer <br />http://methycancer.psych.ac.cn <br />Relationship among DNA methylation, gene expression and cancer</p><p>SomamiR <br />http://compbio.uthsc.edu/SomamiR/ <br />Correlation between somatic mutation and microRNA; genome-wide displaying</p><p>cBioPortal <br />http://www.cbioportal.org/public-portal/ <br />Graphical summaries; gene alteration; processed data; visualization</p><p>UCSC Cancer Genomics Browser <br />https://genome-cancer.soe.ucsc.edu/ <br />Clinical information; gene expression; copy number variation; visualization</p><p>CGWB <br />https://cgwb.nci.nih.gov/ <br />Visualization; gene mutation and variation; automated analysis pipeline</p><p>GDSC <br />http://www.cancerrxgene.org <br />Drug sensitivity information; drug response information</p><p>canSAR <br />https://cansar.icr.ac.uk/ <br />Multidisciplinary information; drug discovery</p><p>NONCODE <br />http://www.noncode.org/ ncRNAs; <br />lncRNAs; up-to-date and comprehensive resource</p>]]></description>
	<dc:creator>biogeek</dc:creator>
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