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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/20015?</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/14339/apps-for-busy-bioinformatics-researchers</guid>
	<pubDate>Mon, 25 Aug 2014 01:26:19 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/14339/apps-for-busy-bioinformatics-researchers</link>
	<title><![CDATA[Apps for Busy Bioinformatics Researchers !!!]]></title>
	<description><![CDATA[<h3>DNAApp:</h3><h4><strong>DNAApp: for </strong><a href="https://itunes.apple.com/us/app/dnaapp/id854944694?mt=8" target="_blank"><strong>iPhone/iPad</strong></a></h4><p>This is an <a href="http://www.apple.com/ios/" target="_blank" title="IOS">iOS</a> app that allows for the opening and analysis of <a href="http://en.wikipedia.org/wiki/DNA_sequencing" target="_blank" title="DNA sequencing">DNA sequencing</a> files - ab1. It includes handy tools such as "<a href="http://en.wikipedia.org/wiki/Complementarity_%28molecular_biology%29" target="_blank" title="Complementarity (molecular biology)">Reverse Complement</a>", "Jump to", "<a href="http://en.wikipedia.org/wiki/Cut%2C_copy%2C_and_paste" target="_blank" title="Cut, copy, and paste">Copy and Paste</a> sequences", fast and end scrolling, "<a href="http://en.wikipedia.org/wiki/Chromatography" target="_blank" title="Chromatography">Chromatogram</a> adjustments", and "Searching for segments" functions. <br /> When used in combination with other zip apps, and also web-tools like Blast, this app allows you to analyze, and also determine the quality of your sequencing files. <br /> This app works with cloud storage access like Dropbox to your sequencing files. <br /> This is now compatible with the new update for iOS 7.1. <br /> Demo video can be found at:<strong> https://www.youtube.com/watch?v=mXeo9hXdZgM&nbsp;</strong></p><p><strong>More @ </strong><a href="https://itunes.apple.com/us/app/dnaapp/id854944694?mt=8" target="_blank" title="https://itunes.apple.com/us/app/dnaapp/id854944694?mt=8"><strong>https://itunes.apple.com/us/app/dnaapp/id854944694?mt=8</strong></a></p><h4><a href="https://play.google.com/store/apps/details?id=bii.seqdatreader&amp;hl=en" target="_blank"><strong>DNAApp: For android</strong></a></h4><p>This is the first android app that allows for the opening and analysis of DNA sequencing files - ab1. It includes handy tools such as "Reverse Complement", "Jump to", fast and end scrolling, "Chromatogram adjustments", amino acid translations, "export to fasta", and "searching for segment" function.</p><ul>
<li>When used in combination with other zip apps, and also web-tools like Blast, this app allows you to analyze, and also determine the quality of your sequencing files.</li>
<li>This app works with cloud storage access like Dropbox to your sequencing files.</li>
<li>This is now compatible with the new update for <a href="http://code.google.com/android/" target="_blank" title="Android">Android</a> 4.4.2.</li>
</ul><p><strong>More @&nbsp; </strong><a href="https://play.google.com/store/apps/details?id=bii.seqdatreader&amp;hl=en" target="_blank" title="https://play.google.com/store/apps/details?id=bii.seqdatreader&amp;hl=en"><strong>https://play.google.com/store/apps/details?id=bii.seqdatreader&amp;hl=en</strong></a></p><h3>BioGene:iPhone/iPad</h3><p>BioGene is an information tool for biological research. Use BioGene to learn about gene function. Enter a gene symbol or gene name, for example "CDK4" or "cyclin dependent kinase 4" and BioGene will retrieve its gene function and references into its function (<a href="http://en.wikipedia.org/wiki/GeneRIF" target="_blank" title="GeneRIF">GeneRIF</a>).</p><ul>
<li>BioGene was produced in affiliation with the Computational Biology Center at <a href="http://maps.google.com/maps?ll=40.764096,-73.956842&amp;spn=0.01,0.01&amp;q=40.764096,-73.956842%20%28Memorial%20Sloan%E2%80%93Kettering%20Cancer%20Center%29&amp;t=h" target="_blank" title="Memorial Sloan&ndash;Kettering Cancer Center">Memorial Sloan-Kettering Cancer Center</a> with primary information from Entrez Gene at the <a href="http://maps.google.com/maps?ll=38.994994,-77.099339&amp;spn=0.01,0.01&amp;q=38.994994,-77.099339%20%28National%20Center%20for%20Biotechnology%20Information%29&amp;t=h" target="_blank" title="National Center for Biotechnology Information">NCBI</a>.</li>
</ul><p><strong>More @&nbsp; </strong><a href="https://itunes.apple.com/us/app/biogene/id333180084?mt=8" target="_blank" title="https://itunes.apple.com/us/app/biogene/id333180084?mt=8"><strong>https://itunes.apple.com/us/app/biogene/id333180084?mt=8</strong></a></p><h3>Mentha - the interactome browser: Android</h3><p>About: mentha - the interactome browser, is a project that offers protein-protein physical/enzymatic interaction information from various sources. For more details about mentha, visit mentha's website. This client application is an independent project. This application is designed to allow you to search proteins on the go.</p><h4><strong>Key features (Also in website):</strong></h4><ul>
<li>Search proteins by <a href="http://en.wikipedia.org/wiki/UniProt" target="_blank" title="UniProt">UniProt</a> IDs, gene name or keywords</li>
<li>Collect proteins from different queries.</li>
<li>Spot common interactors in clusters.</li>
<li>Easily distinguish between proteins from Homo sapiens and other organisms (Yellow rounded rectangles)</li>
<li>Click on edges(links) to get scientific evidence.</li>
<li>Click on proteins to see descriptions.</li>
</ul><p><strong>More @&nbsp; </strong><a href="https://play.google.com/store/apps/details?id=com.sinnefa.mentha&amp;hl=en" target="_blank" title="https://play.google.com/store/apps/details?id=com.sinnefa.mentha&amp;hl=en"><strong>https://play.google.com/store/apps/details?id=com.sinnefa.mentha&amp;hl=en</strong></a></p><h3>GeneIndex: iPhone/iPad</h3><p>GeneIndex quickly provides information about genes from various sources. It also includes a RSS reader for journal feeds as well as a PubMed viewer.</p><h4><strong>Key Features:</strong></h4><ul>
<li>Look up genes by symbol or description.</li>
<li>Gene indexes for many mammals, plants, invertebrates, and bacteria.</li>
<li>Link to gene info on websites.</li>
<li>Download files for offline use. (.pdf, .mp3, .m4v, .doc, .ppt, .xls )</li>
<li>transfer files via open in, email, or iTunes file sharing</li>
<li>View RSS feeds for journals</li>
<li>Query GeneRIF interactions, COSMIC mutations, and CNV data for cell lines.</li>
<li>Does not require a network connection for local databases.</li>
<li>View and search PubMed in table view.</li>
</ul><p><br /> GeneIndex provides a convenient and portable way to lookup gene symbols while at a seminar, conference, or lab meeting. Genes are linked to common life science websites such as NCBI, COSMIC, KEGG, PubMed, SymAtlas, UCSC genome browser, Pathway Commons, Genatlas, Wikipedia, HUGO, and OMIM. GeneRIF gene interactions can also be queried.</p><ul>
<li>Keep current on the scientific literature. GeneIndex includes a RSS reader and web browser for browsing popular journals like Nature, Science, and Cell. You can also add your own RSS feeds. PDFs and podcasts can be saved as files that you can view on the device or email as attachments.</li>
<li>Examine the status of genes in common cell lines. A subset of COSMIC containing cell lines can be queried for mutations. Copy Number Variation (CNV) plots from cell lines profiled by GSK and Sanger are also linked to genes.</li>
</ul><p><strong>More @&nbsp; </strong><a href="https://itunes.apple.com/us/app/geneindex/id319769866?mt=8" target="_blank" title="https://itunes.apple.com/us/app/geneindex/id319769866?mt=8"><strong>https://itunes.apple.com/us/app/geneindex/id319769866?mt=8</strong></a></p><h3>Genome Voyager: iPad</h3><p>Gain first hand experience identifying the genomic basis of disease by analyzing cases with whole genome sequencing data that have been published for research and learning purposes.</p><ul>
<li>Visualize whole human genome sequencing data including small variations, copy number variations (CNVs), and loss of heterozygosity (LOH) events</li>
<li>Quickly find variants of interest by filtering variants based on associated genes, functional impact, allele frequency in data sets, and cross-references with various genomic databases.</li>
<li>Collaborate on variant assessments with other researchers and academics to improve knowledge of both pathogenic and benign variants. <br /> To use Genome Voyager, users must join Genome Voyager&rsquo;s community of researchers and academics. Visit <strong>http://voyager.completegenomics.com to signup.</strong></li>
</ul><p><strong>More @&nbsp; </strong><a href="https://itunes.apple.com/us/app/genome-voyager/id637353801?mt=8" target="_blank" title="https://itunes.apple.com/us/app/genome-voyager/id637353801?mt=8"><strong>https://itunes.apple.com/us/app/genome-voyager/id637353801?mt=8</strong></a></p><h3>YeastGenome: iPhone/iPad</h3><p>Use YeastGenome to quickly find fundamental information about Saccharomyces cerevisae genes and chromosomal features. Search gene names, gene descriptions or browse the database to find information about your favorite gene, as well as more detailed information such as Gene Ontology, mutant phenotype, and protein and genetic interaction data. <br /> YeastGenome contains the latest from the Saccharomyces Genome Database (www.yeastgenome.org) in an on bound app database. As more detailed information is presented the app switches to web services access to SGD, and then for even more details provides complete information via hyperlinks to the appropriate SGD database pages.</p><h4><strong>Key features:</strong></h4><ul>
<li>Search using gene name or keywords</li>
<li>Browse by feature type</li>
<li>Save your favorite features</li>
<li>Can be used in airplane mode</li>
<li>Email information about features to collaborators</li>
</ul><h4><strong>What's New in Version 1.8.1</strong></h4><ul>
<li>This update is required to provide continued functionality. Some of the data provided by this app accesses the SGD service using a method that is changing in May 2013. This version provides changes to allow access to continue. The on board database of yeast gene information has also been updated to March 2013.</li>
</ul><p><strong>More @&nbsp; </strong><a href="https://itunes.apple.com/us/app/yeastgenome/id520868597?mt=8" target="_blank" title="https://itunes.apple.com/us/app/yeastgenome/id520868597?mt=8"><strong>https://itunes.apple.com/us/app/yeastgenome/id520868597?mt=8</strong></a></p><h3>SNPdbe: iPhone/iPad</h3><p>SNPdbe &mdash; SNP database of effects, with predictions of computationally annotated functional impacts of SNPs. Database entries represent nsSNPs in dbSNP and 1000 Genomes collection, as well as variants from UniProt and PMD. SAASs come from &gt;2600 organisms; &lsquo;human&rsquo; being the most prevalent. The impact of each SAAS on protein function is predicted using the SNAP and SIFT algorithms and augmented with experimentally derived function/structure information and disease associations from PMD, OMIM and UniProt.</p><p><strong>More @&nbsp; </strong><a href="https://itunes.apple.com/us/app/snpdbe/id588289719?mt=8" target="_blank" title="https://itunes.apple.com/us/app/snpdbe/id588289719?mt=8"><strong>https://itunes.apple.com/us/app/snpdbe/id588289719?mt=8</strong></a></p><h3>SimGene: iPhone/iPad / Android</h3><h4><strong>SimGene: for iPhone/iPad </strong></h4><p>SimGene is an iPhone/iPad/iPod touch application designed for molecular biologists, bioinformaticians and medical researchers. The application interfaces with Simbiot, Ensembl, NCBI, Gene Ontology, KEGG Pathways, PubMed, Genomic Variations and many other databases to retrieve up-to-date annotation information for over 30 species, based on gene symbol search. The application provides gene and transcript cross reference information for NCBI, Ensembl, RefSeq and UniProt. SimGene also contains an integrated genome browser with information on genes, transcripts, exons and SNPs.</p><p><strong>More @&nbsp; </strong><a href="https://itunes.apple.com/us/app/simgene/id427772349?mt=8" target="_blank" title="https://itunes.apple.com/us/app/simgene/id427772349?mt=8"><strong>https://itunes.apple.com/us/app/simgene/id427772349?mt=8</strong></a></p><h4><strong>SimGene: for Android</strong></h4><p>bioinformaticians and medical researchers. The application interfaces with Simbiot,Ensembl, NCBI, Gene Ontology, KEGG Pathways, PubMed, Genomic Variations andmany other databases to retrieve up-to-date annotation information for over 30species, based on gene symbol search. The application provides gene and transcriptcross reference information for NCBI, Ensembl, RefSeq and UniProt. SimGene alsocontains an integrated genome browser with information on genes, transcripts,exons and SNPs.</p><p><strong>More @&nbsp; </strong><a href="https://play.google.com/store/apps/details?id=com.japanbioinformatics.simgene&amp;hl=en" target="_blank" title="https://play.google.com/store/apps/details?id=com.japanbioinformatics.simgene&amp;hl=en"><strong>https://play.google.com/store/apps/details?</strong></a></p><h3>TimeTree: iPhone/iPad</h3><p>TimeTree is a public knowledge-base for information on the evolutionary timescale of life. This application allows easy exploration of the thousands of divergence times among organisms in the scientific literature. A tree-based (hierarchical) system is used to identify all published molecular time estimates bearing on the divergence of two chosen organisms, such as species, compute summary statistics, and present the results. Names of two taxa to be compared are entered in the search window and the results are presented on a set of self-explanatory tabs.</p><ul>
<li>TimeTree 3.0 was released September 27, 2011 with new data from 1209 studies including 25342 time nodes. We will be adding more data in the future as it comes in from researchers.</li>
<li>TimeTree is jointly directed by Blair Hedges (Pennsylvania State University) and Sudhir Kumar (Arizona State University). This project has been supported, in part, by grants from the National Science Foundation, National Institutes of Health, NASA Astrobiology Institute, and Science Foundation of Arizona.</li>
</ul><p><strong>More @&nbsp; </strong><a href="https://itunes.apple.com/us/app/timetree/id372842500?mt=8" target="_blank" title="https://itunes.apple.com/us/app/timetree/id372842500?mt=8"><strong>https://itunes.apple.com/us/app/timetree/id372842500?mt=8</strong></a></p><h3><strong>GeneGroove: iPhone/iPad </strong></h3><p>GeneGroove is the first application to create a music melody from DTC-Genomics data. If you own 23andMe (Mountain View, CA) personal genomic results, GeneGroove will create for you a unique melody intimately based on your 23andMe genome informations. The music in you.</p><ul>
<li>After uploading your 23andMe raw data onto your iPhone via iTunes, GeneGroove will analyze your genome informations and generate a unique identifier key. This key, called the GeNumber, will embed the uniqueness of your genome data while keeping your privacy safe, and will be used by GeneGroove to generate your music melody.</li>
<li>The GeNumber doesn't contain anymore genomic information but it is based on your genome and it is unique, it is yours. It will be used in upcoming Portable Genomics applications to mix and remix music, manipulate sounds and share your art with your friends and family.</li>
</ul><p><strong>More @&nbsp; </strong><a href="https://itunes.apple.com/us/app/genegroove/id492247404?mt=8" target="_blank" title="https://itunes.apple.com/us/app/genegroove/id492247404?mt=8"><strong>https://itunes.apple.com/us/app/genegroove/id492247404?mt=8</strong></a></p>]]></description>
	<dc:creator>Manisha Mishra</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/20437/wuxi-has-acquired-nextcode-health</guid>
	<pubDate>Mon, 19 Jan 2015 08:17:35 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/20437/wuxi-has-acquired-nextcode-health</link>
	<title><![CDATA[WuXi has acquired NextCODE Health]]></title>
	<description><![CDATA[<p>Shanghai, China-headquartered pharmatech company WuXi (NYSE: WX) has acquired NextCODE Health, a genomic analysis and bioinformatics company based in the USA.<br /><br />The acquisition was made for $65 million in cash, and WuXi plans to merge its genome center with NextCODE Health to form a new company, WuXi NextCODE Genomics. The business will be headquartered in Shanghai and have operations in Cambridge, Massachusetts, and Reykjavik, Iceland.<br /><br />With the huge unmet medical needs in diseases with a genetic component and the rapid advances in genomics and bioinformatics, now is the right time for WuXi to make a strategic investment in this field, and NextCODE is the right partner. This new venture of WuXi NextCODE Genomics will create important new genomic and bioinformatic products and services to help make personalized treatment and medicine a reality.&nbsp; It will also enable doctors to provide better treatments to patients.<br /><br /></p>]]></description>
	<dc:creator>Pranjali Yadav</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/19059/ipython-interactive-notebooks</guid>
	<pubDate>Fri, 07 Nov 2014 12:07:02 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/19059/ipython-interactive-notebooks</link>
	<title><![CDATA[IPython: Interactive notebooks]]></title>
	<description><![CDATA[<p>The IPython Notebook is a web-based interactive computational environment where you can combine code execution, text, mathematics, plots and rich media into a single document.</p><p>These notebooks are normal files that can be shared with colleagues, converted to other formats such as HTML or PDF, etc. You can share any publicly available notebook by using the IPython Notebook Viewer service which will render it as a static web page. This makes it easy to give your colleagues a document they can read immediately without having to install anything.</p><p><img src="http://ipython.org/_images/9_home_fperez_prof_grants_1207-sloan-ipython_proposal_fig_ipython-notebook-specgram.png" width="985" height="916" alt="image" style="border: 0px;"><br /><br />To learn more about using the IPython Notebook, you can visit our example collection, and you can read the documentation for all the details on how to use and configure the system. The Notebook Gallery showcases many interesting notebooks covering a variety of topics, from basic programming to advanced scientific computing.</p><p>&nbsp;</p><p>More http://www.nature.com/news/interactive-notebooks-sharing-the-code-1.16261</p><p>http://ipython.org/ipython-doc/1/interactive/notebook.html</p><p>Reference http://ipython.org/notebook.html</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/19090/deeptools</guid>
	<pubDate>Sat, 08 Nov 2014 15:02:08 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/19090/deeptools</link>
	<title><![CDATA[deepTools]]></title>
	<description><![CDATA[<p>deepTools addresses the challenge of handling the large amounts of data that are now routinely generated from DNA sequencing centers. To do so, deepTools contains useful modules to process the mapped reads data to create coverage files in standard bedGraph and bigWig file formats. By doing so, deepTools allows the creation of normalized coverage files or the comparison between two files (for example, treatment and control). Finally, using such normalized and standardized files, multiple visualizations can be created to identify enrichments with functional annotations of the genome.<br /><br />Publicaton: http://nar.oxfordjournals.org/content/early/2014/05/05/nar.gku365.full<br /><br />Source Code and Wiki: https://github.com/fidelram/deepTools/wiki<br /><br />Galaxy Tool Shed repository: http://toolshed.g2.bx.psu.edu/view/bgruening/deeptools<br /><br />and example Galaxy workflows: http://toolshed.g2.bx.psu.edu/view/bgruening/deeptools_workflows</p>]]></description>
	<dc:creator>Martin Jones</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/19161/niab-molecular-biologybioinformatics-scientistra-openings</guid>
  <pubDate>Thu, 13 Nov 2014 13:37:27 -0600</pubDate>
  <link></link>
  <title><![CDATA[NIAB Molecular Biology/Bioinformatics Scientist/RA Openings]]></title>
  <description><![CDATA[
<p>D. No. 1-121/1, 4th and 5th Floors, Axis Clinicals Building, Miyapur, Hyderabad, Telangana, India- 500 049</p>

<p>Email: admin@niab.org.in Telephones: +91 40 2304 9403 Telefax: +91 40 2304 2740<br />Advertisement No: 5/2014</p>

<p>About NIAB National Institute of Animal Biotechnology (NIAB), Hyderabad, an autonomous institute under the aegis of Department of Biotechnology, Government of India, is aimed to harness novel and emerging biotechnologies and create knowledge in the cutting edge areas for improving animal health and productivity.</p>

<p>Applications are invited for the following temporary research positions to work in ongoing DBTBBSRC sponsored research project entitled “Transcriptome Analysis in Indian buffalo and the Genetics of Innate Immunity” at the National Institute of Animal Biotechnology, Hyderabad.</p>

<p>(A) Project Scientist – Level B (One Position)</p>

<p>Emoluments: Rs. 15600 + GP Rs. 5400 + 30 % HRA p.m. (Total emoluments will be Rs. 49,770/-p.m. for the duration of the project)</p>

<p>Essential Qualification: Candidates having M.V.Sc. in Veterinary Microbiology / Veterinary Pathology / Veterinary Public Health / Ph.D. degree in Life Sciences, Biotechnology, Molecular Biology or any other related field from the recognized university are eligible to apply.</p>

<p>The candidate should have a good academic record and research experience as evidenced from published in standard referred journals / patents.</p>

<p>Desirable: Candidates having research experience in the area of tissue culture, genomics, Transcriptomics and Advanced Molecular Biology will be given preference.</p>

<p>Age Limit: Not exceeding 30 years as on last date of the submission of the application.</p>

<p>(B) Research Associate in Bioinformatics (One position)</p>

<p>Fellowship: Rs. 22,000 + 30 % HRA</p>

<p>Essential Qualification: Candidates having Ph.D. degree or M.Tech. with three years of<br />experience in Bioinformatics, Computational Biology, Biotechnology, Life Sciences or any other related field are eligible to apply.</p>

<p>Desirable: Candidate having research experience in the area of next generation sequencing (NGS) data analysis, Genome wide association studies, Genomic selection, advance genomic data analysis etc., will be given preference. The candidate should have a good academic record and research experience as evidenced from published papers in standard journals / patents.</p>

<p>Age Limit: Not exceeding 30 years as on last date of the submission of the application.</p>

<p>Project Duration: The duration of the project is Three years and the positions are co- terminus with the duration of the project. (Initial appointment will be for one year and further extension will be granted based on annual review).</p>

<p>Mode of submission of application: Only online applications are to be submitted through<br />www.niab.org.in on or before 08 December, 2014. Link for online submission of applications will be available from 10 November 2014.</p>

<p>Advertisement: www.niab.org.in/Notifications/Advt_5_2014/Advt_5_2014.pdf</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/19249/bioinformatics-jrfrasrf-position-at-panjab-university</guid>
  <pubDate>Wed, 19 Nov 2014 20:19:49 -0600</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics JRF/RA/SRF position at PANJAB UNIVERSITY]]></title>
  <description><![CDATA[
<p>CENTRE FOR SYSTEMS BIOLOGY &amp; BIOINFORMATICS<br />UIEAST, PANJAB UNIVERSITY, CHANDIGARH</p>

<p>Applications are invited along with complete bio-data and attested copies of certificates of qualifications, experience etc. for the one post of Research Fellow and one post of Program Assistant under PURSE Grant of the University in Centre for Systems Biology &amp; Bioinformatics, UIEAST, Panjab University, Chandigarh which is tenable till the period of<br />the project.</p>

<p>Essential Qualification</p>

<p>For Research Fellow:-</p>

<p>M.Sc. in Systems Biology and Bioinformatics / Life Sciences with minimum 55% marks.</p>

<p>Preference will be given to NET/GATE/ICMR qualified candidates without fellowship however, candidates who have cleared the Panjab University Ph.D. entrance test in Systems Biology &amp; Bioinformatics will also be eligible.</p>

<p>For Program Assistant:-</p>

<p>The candidate must have M.Sc./M.Tech/MCA/PGDCA in Computer Science and must be able to handle LAN, Linex. Preference will be given to the candidate having experience in<br />System Administration.</p>

<p>Emoluments</p>

<p>For Research Fellow Rs. 12,500/- per month (Fixed)<br />For Program Assistant Rs. 12,500/- per month (Fixed)</p>

<p>Applications should be reach on or before 19-11-2014 in the office of the undersigned.</p>

<p>Interview will be held on 21-11-2014 in the office of the Coordinator, Centre for Systems Biology &amp; Bioinformatics, South Campus, Block-3, Sector-25, Panjab University, Chandigarh. No TA/DA will be paid.</p>

<p>Advertisement:</p>

<p>http://jobs.puchd.ac.in/includes/jobs/2014/20141110143634-Advertisement.pdf</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/19541/bioinformatics-sub-dic-dic</guid>
  <pubDate>Fri, 12 Dec 2014 21:14:57 -0600</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics SUB DIC (DIC)]]></title>
  <description><![CDATA[
<p>Project Title BIOINFORMATICS SUB DIC (DIC)</p>

<p>Reference Number IIT/SRIC/R/DIC/2014/314, DATED 28thNovember, 2014</p>

<p>Temporary Position(s)</p>

<p>i) Junior/ Senior Project Officer (1)<br />ii) Junior Project Assistant (2)</p>

<p>Consolidated Compensation</p>

<p>i) Rs.16,000/- to Rs.18,000/- p.m. (depending on qualification &amp; experience)<br />ii) Rs.8,000/- to Rs.10,000/- p.m. (depending on qualification &amp; experience)</p>

<p>Coordinator / PI Dr. Sudip K. Ghosh, Dept of Biotechnology.</p>

<p>Department / Centre / School Dept of Biotechnology </p>

<p>Qualifications &amp; Experience</p>

<p>(i) M. Sc in any branch of Life Sciences with experience in Molecular  Biology/Genetics/Biochemistry preferably a Post Graduate diploma in Bioinformatics or two years working experience in bioinformatics (Minimum 60% marks starting from matriculation examination).</p>

<p>(ii) B. Sc. /B.A. /B. Com/Diploma in Management or Computer Science. Knowledge in computer software will be preferred (minimum 50% marks starting from matriculation examination).</p>

<p>More Information</p>

<p>Interested eligible persons may apply on plain paper, giving full bio-data along with attested copies of testimonials to the undersigned on or before 11thDecember, 2014. </p>

<p>Sponsor DBT, NEW DELHI</p>

<p>Last Date 11 Dec 2014</p>

<p>Application Fee Demand Draft for Rs.50/- (Not for female candidates) drawn in favour of IIT Kharagpur payable at Kharagpur</p>

<p>Advertisement: www.iitkgp.ac.in/topfiles/sric_job_details.php?serial=2826</p>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/19631/rosalind-bioinformatics-problems</guid>
	<pubDate>Thu, 18 Dec 2014 10:32:48 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/19631/rosalind-bioinformatics-problems</link>
	<title><![CDATA[Rosalind Bioinformatics problems !!!]]></title>
	<description><![CDATA[<p>Rosalind is a platform for learning bioinformatics and programming through problem solving. <a href="http://rosalind.info/problems/list-view/">Take a tour</a> to get the hang of how Rosalind works.</p>
<p>http://rosalind.info/problems/list-view/</p><p>Address of the bookmark: <a href="http://rosalind.info/problems/list-view/" rel="nofollow">http://rosalind.info/problems/list-view/</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/19792/irishgrid-irish-grid-mapping-system</guid>
	<pubDate>Fri, 26 Dec 2014 07:53:24 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/19792/irishgrid-irish-grid-mapping-system</link>
	<title><![CDATA[irishgrid: Irish Grid Mapping System]]></title>
	<description><![CDATA[<p>Perl module for creating geographic 10km-square maps using either SVG or PNG (with GD library) output format.</p>
<p>Originally design to map the location of objects in a 10 km map IrishGrid includes:</p>
<ul>
<li>native support of the Irish Grid System (see <a href="http://www.osi.ie/">http://www.osi.ie/</a>)</li>
<li>optimize for speed (there's as less as possible data to conversion)</li>
<li>customized color functions</li>
</ul>
<p>https://code.google.com/p/irishgrid/downloads/detail?name=irishgrid.pl</p><p>Address of the bookmark: <a href="https://code.google.com/p/irishgrid/" rel="nofollow">https://code.google.com/p/irishgrid/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23536/teaching-assistant-at-svims</guid>
  <pubDate>Fri, 31 Jul 2015 10:15:16 -0500</pubDate>
  <link></link>
  <title><![CDATA[Teaching Assistant at SVIMS]]></title>
  <description><![CDATA[
<p>Eligible candidates are invited for a walk-in-interview for recruitment of Teaching Assistant in the Department of Bioinformatics on 8.08.2015 at 10 A.M. in the Committee Hall, SVIMS, Tirupati. The candidates have to attend with all original certificates of qualification, experience on the date of interview. The engagement will be made purely on adhoc basis for a period of 6 months and it can be terminated at any time without notice or without assigning any reason thereof. This is purely an adhoc appointment and the candidate will not have any right to claim permanent benefits of any kind.</p>

<p>1. Remuneration : Rs. 12000/- per month (consolidated)</p>

<p>2. Qualification : M.Sc./M.Tech. Bioinformatics (preference will be given to the candidates with BINC / NET / GATE / Bioinformatics DBT-Traineeship / Studentship and teaching experience)</p>

<p>3. Place of work : Department of Bioinformatics, SVIMS, Tirupati</p>

<p>4. No. of Position : One</p>

<p>Terms and conditions:</p>

<p>1. Candidates are required to submit the Biodata, attested copies of relevant certificates in support of their age, educational qualification, experience etc., before the interview committee, SVIMS University, Tirupati.<br />2. No TA / DA will be paid for attending the interview.<br />3. Interim enquiries will not be entertained.<br />4. The maximum age limit for Teaching Assistant is 34 years as on 8th August, 2015.<br />5. The tenure of will be further extended subject to performance of the incumbent.</p>

<p>Advertisement: http://svimsbic.org/Teaching_Assistant_B.I._2015.pdf</p>
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