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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/26375?offset=210</link>
	<atom:link href="https://bioinformaticsonline.com/related/26375?offset=210" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37545/ncbi-magic-blast</guid>
	<pubDate>Tue, 14 Aug 2018 18:11:11 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37545/ncbi-magic-blast</link>
	<title><![CDATA[NCBI Magic-BLAST]]></title>
	<description><![CDATA[<p>Magic-BLAST is a tool for mapping large next-generation RNA or DNA sequencing runs against a whole genome or transcriptome. Each alignment optimizes a composite score, taking into account simultaneously the two reads of a pair, and in case of RNA-seq, locating the candidate introns and adding up the score of all exons. This is very different from other versions of BLAST, where each exon is scored as a separate hit and read-pairing is ignored.</p>
<p>Magic-BLAST incorporates within the NCBI BLAST code framework ideas developed in the NCBI Magic pipeline, in particular hit extensions by local walk and jump&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/26109056">(http://www.ncbi.nlm.nih.gov/pubmed/26109056)</a>, and recursive clipping of mismatches near the edges of the reads, which avoids accumulating artefactual mismatches near splice sites and is needed to distinguish short indels from substitutions near the edges.</p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="https://ncbi.github.io/magicblast/" rel="nofollow">https://ncbi.github.io/magicblast/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/10409/check-linux-server-configuration</guid>
	<pubDate>Tue, 06 May 2014 01:10:57 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/10409/check-linux-server-configuration</link>
	<title><![CDATA[Check Linux server configuration !!]]></title>
	<description><![CDATA[<p>Bioinformatician uses servers for computational analysis. Sometime we need to check the server details before running our programs or tools. Here I am showing some basic commands using them you can gather the system/server information.<br /><br />To check what version of Operating System is installed on the server you can use the following commands:-<br />&nbsp;=================================================================<br />1.cat /etc/issue<br />[root@localhost ~]# cat /etc/issue<br />Red Hat Enterprise Linux Server release 5.5 (Tikanga)<br />Kernel \r on an \m<br /><br />2.cat /etc/redhat-release<br />[root@localhost ~]# cat /etc/redhat-release<br />Red Hat Enterprise Linux Server release 5.5 (Tikanga)<br /><br /><br />3.lsb_release -a<br />[root@localhost ~]# lsb_release -a<br />LSB Version:&nbsp;&nbsp;&nbsp; :core-3.1-ia32:core-3.1-noarch:graphics-3.1-ia32:graphics-3.1-noarch<br />Distributor ID: RedHatEnterpriseServer<br />Description:&nbsp;&nbsp;&nbsp; Red Hat Enterprise Linux Server release 5.5 (Tikanga)<br />Release:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5.5<br />Codename:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Tikanga<br /><br /><br /><br />To check whether the operating system is 32 or 64bit:-<br />================================<br /># uname -i<br />[root@localhost ~]# uname -i<br />i386<br />(i386 represents that server is having 32bit operating system)<br /><br />[root@localhost ~]# uname -i<br />x86_64<br />(x86_64 represents that server is having 64bit operating system)<br /><br />To see the processor/CPU information:-<br />=============================<br /># cat /proc/cpuinfo<br />[root@localhost ~] cat /proc/cpuinfo<br />processor&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; : 0<br />vendor_id&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; : GenuineIntel<br />cpu family&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; : 6<br />model&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; : 15<br />model name&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; : Intel(R) Xeon(R) CPU&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5130&nbsp; @ 2.00GHz<br />stepping&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; : 6<br />cpu MHz&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; : 1995.087<br />cache size&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; : 4096 KB<br />physical id&nbsp;&nbsp;&nbsp;&nbsp; : 0<br />siblings&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; : 2<br />core id&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; : 0<br />cpu cores&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; : 2<br />apicid&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; : 0<br />fdiv_bug&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; : no<br />hlt_bug&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; : no<br />f00f_bug&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; : no<br />coma_bug&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; : no<br />fpu&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; : yes<br />fpu_exception&nbsp;&nbsp; : yes<br />cpuid level&nbsp;&nbsp;&nbsp;&nbsp; : 10<br />wp&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; : yes<br />flags&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe nx lm constant_tsc pni monitor ds_cpl vmx tm2 ssse3 cx16 xtpr lahf_lm<br />bogomips&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; : 3990.17<br />(Here processor number 0 indicates that the system is having one process(processor number starts with zero))<br /><br /><br /><br /><br />To check memory information:-<br />===========================<br /># free -m<br />[root@localhost ~]# free -m<br />&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; total&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; used&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; free&nbsp;&nbsp;&nbsp;&nbsp; shared&nbsp;&nbsp;&nbsp; buffers&nbsp;&nbsp;&nbsp;&nbsp; cached<br />Mem:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5066&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3513&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1552&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 612&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2319<br />-/+ buffers/cache:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 582&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4484<br />Swap:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1983&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1983<br /><br /><br /><br /># cat /proc/meminfo<br />[root@localhost ~]# cat /proc/meminfo<br />MemTotal:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5187752 kB<br />MemFree:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1639300 kB<br />Buffers:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 627024 kB<br />Cached:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2374944 kB<br />SwapCached:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0 kB<br />Active:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2458788 kB<br />Inactive:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 920964 kB<br />HighTotal:&nbsp;&nbsp;&nbsp;&nbsp; 4325164 kB<br />HighFree:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1561936 kB<br />LowTotal:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 862588 kB<br />LowFree:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 77364 kB<br />SwapTotal:&nbsp;&nbsp;&nbsp;&nbsp; 2031608 kB<br />SwapFree:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2031608 kB<br />Dirty:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 704 kB<br />Writeback:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0 kB<br />AnonPages:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 377892 kB<br />Mapped:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 35328 kB<br />Slab:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 153036 kB<br />PageTables:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 6316 kB<br />NFS_Unstable:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0 kB<br />Bounce:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0 kB<br />CommitLimit:&nbsp;&nbsp; 4625484 kB<br />Committed_AS:&nbsp;&nbsp; 977132 kB<br />VmallocTotal:&nbsp;&nbsp; 116728 kB<br />VmallocUsed:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4492 kB<br />VmallocChunk:&nbsp;&nbsp; 112124 kB<br />HugePages_Total:&nbsp;&nbsp;&nbsp;&nbsp; 0<br />HugePages_Free:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0<br />HugePages_Rsvd:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0<br />Hugepagesize:&nbsp;&nbsp;&nbsp;&nbsp; 2048 kB<br /><br /><br />To check the model and serial name of the server:-<br />=======================================<br />[root@localhost ~]#&nbsp; dmidecode | egrep -i "product name|Serial number"<br />Product Name: PowerEdge R710<br />Serial Number: AB8CDE1<br />&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;<br /><br />To check the host name:-<br />=====================<br />[root@localhost ~]# uname -n<br />localhost<br /><br />[root@localhost ~]# hostname<br />localhost<br /><br />To check the kernel version:-<br />========================<br />[root@localhost ~]# uname -r<br />2.6.18-238.9.1.el5PAE</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41482/magic-blast</guid>
	<pubDate>Fri, 20 Mar 2020 15:18:36 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41482/magic-blast</link>
	<title><![CDATA[Magic-BLAST]]></title>
	<description><![CDATA[<p>Magic-BLAST is a tool for mapping large next-generation RNA or DNA sequencing runs against a whole genome or transcriptome. Each alignment optimizes a composite score, taking into account simultaneously the two reads of a pair, and in case of RNA-seq, locating the candidate introns and adding up the score of all exons. This is very different from other versions of BLAST, where each exon is scored as a separate hit and read-pairing is ignored.</p><p>Address of the bookmark: <a href="https://ncbi.github.io/magicblast/" rel="nofollow">https://ncbi.github.io/magicblast/</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/10460/assistant-professor-at-jawaharlal-nehru-university-in-delhi</guid>
  <pubDate>Wed, 07 May 2014 00:29:22 -0500</pubDate>
  <link></link>
  <title><![CDATA[Assistant Professor at Jawaharlal Nehru University in Delhi]]></title>
  <description><![CDATA[
<p>Advt. No. RC/48/2014</p>

<p>SCHOOL OF COMPUTATIONAL AND INTEGRATIVE SCIENCES (SC&amp;IS)</p>

<p>ESSENTIAL QUALIFICATION : - M.Sc./M.Tech. in Physics/ Chemistry/ Biology/ Mathematics/ Statistics/ Bioinformatics/ Computational Biology. Ph.D. in the broad areas of Bioinformatics/ Computational Biology. Candidates must have demonstrated capabilities in terms of high impact research publications in either of the above mentioned areas.</p>

<p>Scale of Pay : - 15600-39100/- (PB-III) AGP Rs. 6000/-</p>

<p>For more details on Centre/School, Specializations etc. please visit JNU website www.jnu.ac.in or contact Section Officer, Room Nos. 131-132, Recruitment Cell, Administrative Block, JNU, New Delhi – 110067, Email: recruitmentjnu2013@gmail.com The last date for the receipt of application is 15 May, 2014.</p>

<p>http://www.jnu.ac.in/Career/</p>

<p>http://www.jnu.ac.in/Career/ADVTNo_RC_48_2014.pdf<br />Last Apply Date:</p>

<p>15 May 2014</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/44370/ncbiblast-2141-now-available</guid>
	<pubDate>Wed, 30 Aug 2023 02:36:13 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/44370/ncbiblast-2141-now-available</link>
	<title><![CDATA[NCBIBLAST+ 2.14.1 now available]]></title>
	<description><![CDATA[<p><a href="https://www.linkedin.com/feed/hashtag/?keywords=ncbiblast&amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7101231946264924160">#NCBIBLAST</a><span>+ 2.14.1 now available with improved documentation, faster and more reliable database downloads, and some bug fixes.&nbsp;</span></p><p>Check out the changes they made.</p><p>They added the&nbsp;<code><span>cleanup-blastdb-volumes.py</span></code>&nbsp;script to remove unused BLAST database volumes. Read the documentation&nbsp;<a href="https://www.ncbi.nlm.nih.gov/books/NBK592857/">here</a>.</p><p>They also switched the protocol from&nbsp;<code><span>ftp</span></code>&nbsp;to&nbsp;<code><span>https</span></code>&nbsp;to access BLAST databases for increased performance and reliability when downloading data from the NCBI with the&nbsp;<code><span>update_blastdb.pl</span></code>&nbsp;script.</p><p>And fixed a few bugs related to downloading data from the NCBI, and&nbsp;<code><span>mt_mode</span></code>&nbsp;crashing&nbsp;<code><span>blastn</span></code>&nbsp;and&nbsp;<code><span>blastx</span></code>.</p><p>Check out the&nbsp;<a href="https://www.ncbi.nlm.nih.gov/books/NBK131777/">release notes</a>.</p><p>Download&nbsp;<a href="https://ftp.ncbi.nlm.nih.gov/blast/executables/blast+/2.14.1/">BLAST+ 2.14.1</a></p><p>Questions or comments? Please write the&nbsp;<a href="https://support.nlm.nih.gov/support/create-case/">BLAST help desk</a>.</p><p><span><span>More info and download:</span>&nbsp;https://blast.ncbi.nlm.nih.gov/doc/blast-news/2023-BLAST-News.html</span></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/10749/memories-can-be-passed-down-through-dna</guid>
	<pubDate>Sat, 10 May 2014 21:24:10 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/10749/memories-can-be-passed-down-through-dna</link>
	<title><![CDATA[Memories Can Be Passed Down Through DNA]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/tbPwzII_g6o" frameborder="0" allowfullscreen></iframe>The premise of Assassin's Creed is the reliving of other people's memories stored inside DNA. Well scientists have found that in mice, it actually happens! Anthony is joined by special guest and our friend Tara Long from Hard Science to explain how this process works, and if it might apply to humans as well.

Read More: 
Parental olfactory experience influences behavior and neural structure in subsequent generations
http://www.nature.com/neuro/journal/vaop/ncurrent/abs/nn.3594.html
"Using olfactory molecular specificity, we examined the inheritance of parental traumatic exposure, a phenomenon that has been frequently observed, but not understood."

What Is Epigenetics?
http://www.sciencemag.org/content/330/6004/611
"The cells in a multicellular organism have nominally identical DNA sequences (and therefore the same genetic instruction sets), yet maintain different terminal phenotypes. This nongenetic cellular memory, which records developmental and environmental cues (and alternative cell states in unicellular organisms), is the basis of epi-(above)-genetics."

Epigenetics
http://en.wikipedia.org/wiki/Epigenetics

Watch More:
How to Change Your Genes
https://www.youtube.com/watch?v=B5DU9lgbsSE
TestTube Wild Card
http://testtube.com/dnews/dnews-231-how-too-many-screens-affect-our-brain?utm_source=YT&utm_medium=DNews&utm_campaign=DNWC
Is Sexiness Hereditary?
https://www.youtube.com/watch?v=z6STRCncvM8
____________________

DNews is dedicated to satisfying your curiosity and to bringing you mind-bending stories & perspectives you won't find anywhere else! New videos twice daily. 

Watch More DNews on TestTube http://testtube.com/dnews

Subscribe now! http://www.youtube.com/subscription_center?add_user=dnewschannel

DNews on Twitter http://twitter.com/dnews

Anthony Carboni on Twitter http://twitter.com/acarboni

Laci Green on Twitter http://twitter.com/gogreen18

Trace Dominguez on Twitter http://twitter.com/trace501

DNews on Facebook http://facebook.com/dnews

DNews on Google+ http://gplus.to/dnews

Discovery News http://discoverynews.com]]></description>
	
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/10773/bioinformatics-jrfsrf-position-at-national-research-centre-on-plant-biotechnology</guid>
  <pubDate>Sun, 11 May 2014 22:29:12 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics JRF/SRF position at NATIONAL RESEARCH CENTRE ON PLANT BIOTECHNOLOGY]]></title>
  <description><![CDATA[
<p>NATIONAL RESEARCH CENTRE ON PLANT BIOTECHNOLOGY<br />LBS, CENTRE, PUSA CAMPUS, IARI NEW DELHI<br />NEW DELHI – 110 012</p>

<p>WALK- IN –INTERVIEWS</p>

<p>Eligible candidates may appear in Walk-in-Interview on May 23, 2014 at 10 AM for the posts of Research Associates &amp; Senior Research Fellows (SRF) in the following DST/DBT/ICAR funded projects.</p>

<p>1 NPTC Project on Bioinformatics and Comparative Genomics</p>

<p>Research Associate (One)</p>

<p>Rs. 24000/- + 30% HRA for masters degree holder with more than 4 years experience</p>

<p>Essential: Ph D in Plant Molecular Biology &amp; Biotechnology/Genetics 0r Candidates who have already submitted their Ph D thesis in above subjects</p>

<p>Desirable: Research experience in Genomics, Molecular biology, Microarrays analysis, Gene cloning, transgenic Techniques , and computational analysis.</p>

<p>Senior Research Fellow ( UGCCSIR/ DBT/ ICAR Net qualified only): (One)</p>

<p>Rs. 16000/- + 30% HRA and Rs. 18000+30 HRA from 3rd year onwards</p>

<p>Essential:</p>

<p>1. ICAR/ UGCCSIR/DBT Net qualified only</p>

<p>2. M. Sc. (with thesis) in Biotechnology, Life Sciences, Biosciences/ Bioinformatics, Genetics/ Plant Pathology with experience in molecular biology.</p>

<p>Or M.Sc with more than 3 years research experiences</p>

<p>3. B.Sc. Agriculture or Biology</p>

<p>Desirable:<br />1. M. Sc. with thesis<br />2. Experience in molecular biology, plant tissue culture<br />3. Bioinformatics knowledge is important</p>

<p>2 DST JC Bose National Fellowship</p>

<p>Research Associate (Bioinformatics) : One</p>

<p>Rs.22000/- + 30% HRA for 1 &amp; 2nd Yr., Rs. 23000+ 30% HRA for 3rd year and Rs. 24000+30% HRA for 4th &amp;5th yr</p>

<p>Essential: M Ph D in Plant Molecular Biology &amp; Biotechnology/Genetics</p>

<p>Desirable: Research experience in Genomics, Molecular biology, Microarrays analysis, Gene cloning, transgenic Techniques , and computational analysis.</p>

<p>Age limit: Max.35 years (Age relaxation of 5 years for SC/ST &amp; women and 3 years for OBC)</p>

<p>The posts are purely temporary in nature and are co-terminus with the project. Initially the offer will be made for one year only and may be further extendable based on performance of the candidate. The interview will be held on May 23 , 2014 at 10:00 AM at NRCPB, LBS Building, Pusa Campus, IARI, New Delhi- 110012. The candidates must bring four copies of biodata (in the prescribed proforma), original certificates, attested photocopies of each of the certificates and an attested copy of recent passport size photograph. No. TA/DA would be given for the appearance in interview. Only the candidates having essential qualification would be entertained for the interviews. Short-listing of candidates based on academic merit and experience will be done in case of large number of applicants.</p>

<p>Advertisement: http://www.nrcpb.org/sites/default/files/Advertisement%20for%20RA%20and%20SRF%20Position.pdf</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/12943/a-history-of-bioinformatics-in-the-year-2039</guid>
	<pubDate>Wed, 23 Jul 2014 06:37:51 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/12943/a-history-of-bioinformatics-in-the-year-2039</link>
	<title><![CDATA[A History of Bioinformatics (in the Year 2039)]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/uwsjwMO-TEA" frameborder="0" allowfullscreen></iframe><p>C. Titus Brown http://video.open-bio.org/video/1/a-history-of-bioinformatics-in-the-year-2039</p>]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/11144/scientists-map-17294-proteins-produced-in-human-body</guid>
	<pubDate>Thu, 29 May 2014 01:57:55 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/11144/scientists-map-17294-proteins-produced-in-human-body</link>
	<title><![CDATA[Scientists map 17,294 proteins produced in human body]]></title>
	<description><![CDATA[<p>Indian scientists missed the genomic profiling bus, but they've more than made up for it by creating the first human proteome map which is an extension of the genomic study. Till now, here is no direct equivalent for the human proteome. But recently two groups present mass spectrometry-based analysis of human tissues, body fluids and cells mapping the large majority of the human proteome.</p><p>The Indian scientists working in Bangalore, along with their American counterparts, have mapped more than 17,000 proteins in 30 organs of the human body. Just like the human genome was sequenced around the turn of the millennium, this is an equivalent mapping of the human proteome.<br /><br />The researcher estimated there are around 20,500 proteins in the human body. These scientists have profiled around 17,294, which account for around 84% of the total proteins. Apart from this, the team also traced around 2,500 of 3,000 proteins that had been categorised as "missing proteins".</p><p>The work, done by group of Indian scientists, and Johns Hopkins University, published in the renowned journal Nature ( http://www.nature.com/nature/journal/v509/n7502/full/nature13302.html ). Of the 72 people who worked on the project, 46 are Indians.</p><p>Reference:</p><p>http://www.nature.com/nature/journal/v509/n7502/full/nature13302.html</p><p>http://www.proteinatlas.org/ -The antibody-based Human Protein Atlas programme</p><p>http://www.humanproteomemap.org/ -Proteogenomic analysis by identifying translated proteins from annotated pseudogenes, non-coding RNAs and untranslated regions.</p><p>https://www.proteomicsdb.org/ -Assembled protein evidence for 18,097 genes in ProteomicsDB</p><p>&nbsp;</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/11249/how-to-sequence-the-human-genome-mark-j-kiel</guid>
	<pubDate>Fri, 30 May 2014 13:24:11 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/11249/how-to-sequence-the-human-genome-mark-j-kiel</link>
	<title><![CDATA[How to sequence the human genome - Mark J. Kiel]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/MvuYATh7Y74" frameborder="0" allowfullscreen></iframe>View full lesson: http://ed.ted.com/lessons/how-to-sequence-the-human-genome-mark-j-kiel

Your genome, every human's genome, consists of a unique DNA sequence of A's, T's, C's and G's that tell your cells how to operate. Thanks to technological advances, scientists are now able to know the sequence of letters that makes up an individual genome relatively quickly and inexpensively. Mark J. Kiel takes an in-depth look at the science behind the sequence.

Lesson by Mark J. Kiel, animation by Marc Christoforidis.]]></description>
	
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