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<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/32379?offset=710</link>
	<atom:link href="https://bioinformaticsonline.com/related/32379?offset=710" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	
<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7483/research-associate-indian-institute-of-spices-research</guid>
  <pubDate>Wed, 25 Dec 2013 12:34:43 -0600</pubDate>
  <link></link>
  <title><![CDATA[Research Associate @ INDIAN INSTITUTE OF SPICES RESEARCH]]></title>
  <description><![CDATA[
<p>INDIAN INSTITUTE OF SPICES RESEARCH<br />(Indian Council of Agricultural Research)<br />Marikunnu P.O., Kozhikode – 673 012, Kerala</p>

<p>WALK -IN- TEST CUM INTERVIEW</p>

<p>Walk- in- Test cum Interview (based on test) for the selection of Research Associate (Bioinformatics) &amp; Bioinformatic Trainees under the scheme ‘Distributed Information Sub Centre- DISC’ will be held at this Institute as per details indicated below.</p>

<p>Research Associate</p>

<p>Date of Interview : 21 -01-2014 at 10.00 A.M</p>

<p>Qualifications : a) Essential: Doctorate degree in Bioinformatics or Biotechnology/Life Sciences/Biochemistry with expertise in  Bioinformatics as evidenced by publications.</p>

<p>OR</p>

<p>Three years research experience after MVSc/MPharm/ME/MTech with Bioinformatics  Specialization.</p>

<p>b Desirable: Experience in handling NGS data  Programming skills in Python/Bioperl</p>

<p>Emoluments : Rs:22000/- per month + HRA (higher pay upto Rs.24000/- can be paid  depending on the qualifications and experience.</p>

<p>Upper age limit : 40 years for Men &amp; 45 years for Women as on date of Interview (Upper Age limits are relaxable for SC, ST and OBC candidates as per Govt. of India norms (at present 5 years for SC/ST and 3 years for OBC)</p>

<p>Duration of Project : Till the closure of the project.</p>

<p>General Terms and conditions</p>

<p>1. The above positions are purely on temporary basis and is co-terminus with the closure of the project. There is no provision of re-employment after termination of project. The selected candidate will not have any right for claiming pay scale or absorption against any regular post being vacant on a later date at this Institute.<br />2 . No TA/DA will be paid for attending the Interview.<br />3. Canvassing in any form will lead to cancellation of candidate.<br />4. The decision of Director, IISR would be final and binding in all aspects.<br />5. Candidates will not be permitted to enter the Examination Hall after 10.00 A.M.<br />6. Candidates who secure the minimum marks prescribed by the Institute in written test  only will be eligible for calling for the interview. The number of candidates to be  called for the interview will be decided by the Director of the Institute.<br />7 Those who do not possess original Degree/PG certificate or Provisional certificate will not be allowed to attend the Test/Interview.</p>

<p>Note: All relevant certificates (in original) and bio data<br />No objection certificate in case he/she is employed elsewhere and experience certificate in original (if any) need to be produced at the time of interview.<br />Location of IISR Kozhikode Main Campus - Pallithazham bus stop between Moozhikkal East and Chelavoor on the NH 212 ”Kozhikode - Kollegal” Road.</p>

<p>Advertisement:  www.spices.res.in/pdf/DISC-Website.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/7913/the-genome-factory</guid>
	<pubDate>Thu, 16 Jan 2014 02:09:31 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/7913/the-genome-factory</link>
	<title><![CDATA[The genome factory !!!]]></title>
	<description><![CDATA[<p>Illumina, Inc. announced Tuesday that its new HiSeq X Ten Sequencing System has broken the &ldquo;sound barrier&rdquo; of human genomics by enabling the $1,000 genome. &ldquo;This platform includes dramatic technology breakthroughs that enable researchers to undertake studies of unprecedented scale by providing the throughput to sequence tens of thousands of human whole genomes in a single year in a single lab,&rdquo; Illumina stated.</p><p>Initial customers for the HiSeq X Ten System, which will ship in Q1 2014, include Macrogen, based in Seoul, South Korea and its CLIA laboratory in Rockville, Maryland, the Broad Institute in Cambridge, Massachusetts, and the Garvan Institute of Medical Research in Sydney, Australia.</p><p>&ldquo;For the first time, it looks like it will be possible to deliver the $1,000 genome, which is tremendously exciting,&rdquo; said Eric Lander, founding director of the Broad Institute and a professor of biology at MIT. &ldquo;The HiSeq X Ten should give us the ability to analyze complete genomic information from huge sample populations. Over the next few years, we have an opportunity to learn as much about the genetics of human disease as we have learned in the history of medicine.&rdquo;</p><p>&ldquo;The HiSeq X Ten is an ideal platform for scientists and institutions focused on the discovery of genotypic variation to enable a deeper understanding of human biology and genetic disease,&rdquo; Illumina stated. &ldquo;It can sequence tens of thousands of samples annually with high-quality, high-coverage sequencing, delivering a comprehensive catalog of human variation within and outside coding regions.&rdquo;</p><p>HiSeq X Ten utilizes a number of advanced design features to generate massive throughput. Patterned flow cells, which contain billions of nanowells at fixed locations, combined with a new clustering chemistry deliver a significant increase in data density (6 billion clusters per run). Using state-of-the art optics and faster chemistry, HiSeq X Ten can process sequencing flow cells more quickly than ever before &mdash; generating a 10x increase in daily throughput when compared to current HiSeq 2500 performance.</p><p>The HiSeq X Ten is sold as a set of 10 or more ultra-high throughput sequencing systems, each generating up to 1.8 terabases (Tb) of sequencing data in less than three days or up to 600 gigabases (Gb) per day, per system, providing the throughput to sequence tens of thousands of high-quality, high-coverage genomes per year. Illumina says the $1,000 includes typical instrument depreciation, DNA extraction, library preparation, and estimated labor.</p>]]></description>
	<dc:creator>Madhvan Reddy</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41825/hnadock-a-nucleic-acid-docking-server-for-modeling-rnadna%E2%80%93rnadna-3d-complex-structures</guid>
	<pubDate>Thu, 04 Jun 2020 23:19:07 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41825/hnadock-a-nucleic-acid-docking-server-for-modeling-rnadna%E2%80%93rnadna-3d-complex-structures</link>
	<title><![CDATA[HNADOCK: a nucleic acid docking server for modeling RNA/DNA–RNA/DNA 3D complex structures]]></title>
	<description><![CDATA[<p><span>The HNADOCK server is to predict the binding complex structure between two nucleic acid molecules through a hierarchical docking algorihtm of an FFT-based global search strategy and an intrinsic scoring function for nucleic acid interactions. Users are required to provide the three-dimensional (3D) structures of the two molecules to be docked.&nbsp;</span></p><p>Address of the bookmark: <a href="http://huanglab.phys.hust.edu.cn/hnadock/" rel="nofollow">http://huanglab.phys.hust.edu.cn/hnadock/</a></p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7999/senior-research-fellow-indian-agricultural-statistics-research-institute</guid>
  <pubDate>Thu, 23 Jan 2014 06:22:15 -0600</pubDate>
  <link></link>
  <title><![CDATA[Senior Research Fellow @ Indian Agricultural Statistics Research Institute]]></title>
  <description><![CDATA[
<p>Indian Agricultural Statistics Research Institute<br />Library Avenue, Pusa, New Delhi – 110012</p>

<p>Walk-in-Interview</p>

<p>Walk-in-interview will be held on February 11, 2014 at 10:00 A.M. at IASRI, New Delhi for a project “Whole Genome Sequencing and Development of Allied Genomics Resources in Two Commercially Important Fish-Labeo rohita and Clarias batrachus” funded by Department of Biotechnology, Ministry of Science and Technology, Government of India, New Delhi for the following posts. The appointment will be on contractual basis upto September, 2016 or till the termination of the project whichever is earlier and the incumbent shall not have any claim for regular appointment under ICAR.</p>

<p>Senior Research Fellow Two</p>

<p>Post-Graduation in Bioinformatics/ Agricultural Statistics/ Statistics/ Computer Science/ Computer Application/ Biotechnology or equivalent with 1st Division</p>

<p> Knowledge of Statistical Analysis /Bioinformatics tools/computer programming for computational genomics.</p>

<p>Emoluments for Research Associate: Consolidated Rs: 16000/- per month + 30% HRA (1st Two years) and Rs: 18000/- per month + 30% HRA (3rd Year)</p>

<p>Age Limit: Age should be not more than 35 years (5 years relaxation for SC/ST/women candidates and 3 years for OBC candidates as on date of interview).<br />Interested candidates are requested to appear for Walk-in-Interview on the date and time as specified above in Room No. 106, Training Cum Administrative Block of the Institute along with their application giving bio-data with attested copies of certificates, degrees, testimonials, etc. and one passport size photograph. Original certificates/ Degrees are needed to be produced at the time of interview. No T.A. /D.A. will be paid for appearing in the interview.</p>

<p>Advertisement: http://www.iasri.res.in/employment/2014/srf_cabin.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/43911/slurm-commands</guid>
	<pubDate>Wed, 06 Jul 2022 07:40:07 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/43911/slurm-commands</link>
	<title><![CDATA[SLURM Commands]]></title>
	<description><![CDATA[<h3>SLURM commands</h3><p>The following table shows SLURM commands on the SOE cluster.</p><table border="1">
<thead>
<tr><th>Command</th><th>Description</th></tr>
</thead>
<tbody>
<tr>
<td><strong>sbatch</strong></td>
<td>Submit batch scripts to the cluster</td>
</tr>
<tr>
<td><strong>scancel</strong></td>
<td>Signal jobs or job steps that are under the control of Slurm.</td>
</tr>
<tr>
<td><strong>sinfo</strong></td>
<td>View information about SLURM nodes and partitions.</td>
</tr>
<tr>
<td><strong>squeue</strong></td>
<td>View information about jobs located in the SLURM scheduling queue</td>
</tr>
<tr>
<td><strong>smap</strong></td>
<td>Graphically view information about SLURM jobs, partitions, and set configurations parameters</td>
</tr>
<tr>
<td><strong>sqlog</strong></td>
<td>View information about running and finished jobs</td>
</tr>
<tr>
<td><strong>sacct</strong></td>
<td>View resource accounting information for finished and running jobs</td>
</tr>
<tr>
<td><strong>sstat</strong></td>
<td>View resource accounting information for running jobs</td>
</tr>
</tbody>
</table><p><span>For more information, run&nbsp;</span><strong>man</strong><span>&nbsp;on the commands above. See some examples below.</span><br /><br /><span style="font-size: large;"><strong>1. Info about the partitions and nodes</strong></span><span></span><br /><span>List all the partitions available to you and the nodes therein:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>sinfo
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>Nodes in state&nbsp;</span><tt>idle</tt><span>&nbsp;can accept new jobs.</span><br /><br /><span>Show a partition configuratuin, for example,&nbsp;</span><tt>SOE_main</tt><span></span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>scontrol show partition=SOE_main
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>Show current info about a specific node:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>scontrol show node=&lt;nodename&gt;
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>You can also specify a group of nodes in the command above. For example, if your MPI job is running across soenode05,06,35,36, you can execute the command below to get the info on the nodes you are interested in:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>scontrol show node=soenode[05-06,35-36]
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>An informative parameter in the output to look at would be CPULoad. It allows you to see how your application utilizes the CPUs on the running nodes.</span><br /><br /><span style="font-size: large;"><strong>2. Submit scripts</strong></span><span></span><br /><span>The header in a submit script specifies job name, partition (queue), time limit, memory allocation, number of nodes, number of cores, and files to collect standard output and error at run time, for example</span></p><div><table border="1">
<tbody>
<tr>
<td>
<pre>#!/bin/bash

#SBATCH --job-name=OMP_run     # job name, "OMP_run"
#SBATCH --partition=SOE_main   # partition (queue)
#SBATCH -t 0-2:00              # time limit: (D-HH:MM) 
#SBATCH --mem=32000            # memory per node in MB 
#SBATCH --nodes=1              # number of nodes
#SBATCH --ntasks-per-node=16   # number of cores
#SBATCH --output=slurm.out     # file to collect standard output
#SBATCH --error=slurm.err      # file to collect standard errors
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>If the time limit is not specified in the submit script, SLURM will assign the default run time, 3 days. This means the job will be terminated by SLURM in 72 hrs. The maximum allowed run time is two weeks,&nbsp;</span><tt>14-0:00</tt><span>.</span><br /><span>If the memory limit is not requested, SLURM will assign the default 16 GB. The maximum allowed memory per node is 128 GB. To see how much RAM per node your job is using, you can run commands&nbsp;</span><tt>sacct</tt><span>&nbsp;or&nbsp;</span><tt>sstat</tt><span>&nbsp;to query MaxRSS for the job on the node - see examples below.</span><br /><span>Depending on a type of application you need to run, the submit script may contain commands to create a temporary space on a computational node -&nbsp;</span><a href="http://ecs.rutgers.edu/file_systems.html">see the discussion about using the file systems on the cluster.</a><span></span><br /><span>Then it sets the environment specific to the application and starts the application on one or multiple nodes - see sbatch sample scripts in directory&nbsp;</span><tt>/usr/local/Samples</tt><span>&nbsp;on soemaster1.hpc.rutgers.edu.</span><br /><span>You can submit your job to the cluster with&nbsp;</span><tt>sbatch</tt><span>&nbsp;command:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>sbatch myscript.sh
</pre>
</td>
</tr>
</tbody>
</table></div><p><br /><span style="font-size: large;"><strong>3. Query job information</strong></span><span></span><br /><span>List all currently submitted jobs in running and pending states for a user:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>squeue -u &lt;username&gt;
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>Command&nbsp;</span><tt>squeue</tt><span>&nbsp;can be run with format options to expose specific information, for example, when pending job #706 is scheduled to start running:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>squeue -j 706 --format="%S"
</pre>
</td>
</tr>
</tbody>
</table></div><div><table border="1">
<tbody>
<tr>
<td>
<pre>START_TIME
2015-04-30T09:54:32
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>More info can be shown by placing additional format options, for example:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>squeue -j 706 --format="%i %P %j %u %T %l %C %S"
</pre>
</td>
</tr>
</tbody>
</table></div><div><table border="1">
<tbody>
<tr>
<td>
<pre>JOBID PARTITION   NAME    USER STATE   TIMELIMIT  CPUS START_TIME
706   SOE_main  Par_job_3 mike PENDING 3-00:00:00 64   2015-04-30T09:54:32
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>To see when all the jobs, pending in the queue, are scheduled to start:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>squeue --start 
</pre>
</td>
</tr>
</tbody>
</table></div><p><br /><span>List all running and completed jobs for a user</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>sqlog -u &lt;username&gt;
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>or</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>sqlog -j &lt;JobID&gt;
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>The following appreviations are used for the job states:</span></p><pre>       CA   CANCELLED      Job was cancelled.

       CD   COMPLETED      Job completed normally.

       CG   COMPLETING     Job is in the process of completing.

       F    FAILED         Job termined abnormally.

       NF   NODE_FAIL      Job terminated due to node failure.

       PD   PENDING        Job is pending allocation.

       R    RUNNING        Job currently has an allocation.

       S    SUSPENDED      Job is suspended.

       TO   TIMEOUT        Job terminated upon reaching its time limit.
</pre><p><span>You can specify the fields you would like to see in the output of&nbsp;</span><tt>sqlog</tt><span>:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>sqlog --format=list
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>The command below, for example, provides Job ID, user name, exit state, start date-time, and end date-time for job #2831:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>sqlog -j 2831 --format=jid,user,state,start,end
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>List status info for a currently running job:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>sstat -j &lt;jobid&gt;
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>A formatted output can be used to gain only a specific info, for example, the maximum resident RAM usage on a node:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>sstat --format="JobID,MaxRSS" -j &lt;jobid&gt;
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>To get statistics on completed jobs by jobID:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>sacct --format="JobID,JobName,MaxRSS,Elapsed" -j &lt;jobid&gt;
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>To view the same information for all jobs of a user:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>sacct --format="JobID,JobName,MaxRSS,Elapsed" -u &lt;username&gt;
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>To print a list of fields that can be specified with the&nbsp;</span><tt>--format</tt><span>&nbsp;option:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>sacct --helpformat
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>For example, to get Job ID, Job name, Exit state, start date-time, and end date-time for job #2831:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>sacct -j 2831 --format="JobID,JobName,State,Start,End"
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>Another useful command to gain information about a running job is&nbsp;</span><tt>scontrol</tt><span>:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>scontrol show job=&lt;jobid&gt;
</pre>
</td>
</tr>
</tbody>
</table></div><p><br /><span style="font-size: large;"><strong>4. Cancel a job</strong></span><span></span><br /><span>To cancel one job:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>scancel &lt;jobid&gt;
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>To cancel one job and delete the TMP directory created by the submit script on a node:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>sdel &lt;jobid&gt;
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>To cancel all the jobs for a user:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>scancel -u &lt;username&gt;
</pre>
</td>
</tr>
</tbody>
</table></div><p><span>To cancel one or more jobs by name:</span></p><div><table border="0" style="background-color: #D0D0D0;">
<tbody>
<tr>
<td>
<pre>scancel --name &lt;myJobName&gt;
</pre>
</td>
</tr>
</tbody>
</table></div>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/8108/jrf-institute-of-cytology-preventive-oncology</guid>
  <pubDate>Sat, 01 Feb 2014 13:47:29 -0600</pubDate>
  <link></link>
  <title><![CDATA[JRF @ Institute of Cytology &amp; Preventive Oncology]]></title>
  <description><![CDATA[
<p>Institute of Cytology &amp; Preventive Oncology (ICPO) which was initially established as Cytology Research Centre ( CRC ) by the Indian Council of Medical Research (ICMR) in 1979, came into the existence in 1989 when CRC was elevated to the level of Institute. ICPO was instituted with the main aim of promoting research in the field of cancers that are most prevalent in India with an emphasis on their early detection and prevention.</p>

<p>Candidates having the below mentioned qualifications may appear for Walk in Interview at ICPO on 5th Feb 2014 between 10.00 AM and 12.00 PM under the NIF project entitled "Prediction of drug tragets of chemical constituents present within non-codified medicinal plants" under Dr Subhash M.Agarwal, Scientist C</p>

<p>    Position : JRF<br />    No of Post : One<br />    Pay : Rs 12000/- + 30% HRA </p>

<p>    Desired Profile : M.Sc in Bioinformatics with good academic record. Candidate with experience in database development and scripting would be preferred<br />    Age Limit : Below 28 years<br />    Period : 2 months</p>

<p>Interested candidates may send their applications with bio-data by email (smagarwal@gmail.com) or post addressed to Dr Subhash M Agarwal, Scientist C, Bioinformatics Division, Institute of Cytology and Preventive Oncology (ICPO) I-7, Sector 39, Noida-201301 so as to reach latest by 04.02.14</p>

<p>Deadline : 04.02.14</p>

<p>http://icmr.nic.in/icmrnews/icpo_jrf.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37529/bokeh-an-interactive-visualization-library-that-targets-modern-web-browsers-for-presentation</guid>
	<pubDate>Fri, 10 Aug 2018 18:43:08 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37529/bokeh-an-interactive-visualization-library-that-targets-modern-web-browsers-for-presentation</link>
	<title><![CDATA[Bokeh: An interactive visualization library that targets modern web browsers for presentation]]></title>
	<description><![CDATA[<p id="about">Bokeh is an interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of versatile graphics, and to extend this capability with high-performance interactivity over very large or streaming datasets. Bokeh can help anyone who would like to quickly and easily create interactive plots, dashboards, and data applications.</p>
<p>To get started using Bokeh to make your visualizations, see the&nbsp;<a href="https://bokeh.pydata.org/en/latest/docs/user_guide.html#userguide">User Guide</a>.</p>
<p>To see examples of how you might use Bokeh with your own data, check out the&nbsp;<a href="https://bokeh.pydata.org/en/latest/docs/gallery.html#gallery">Gallery</a>.</p>
<p>A complete API reference of Bokeh is at&nbsp;<a href="https://bokeh.pydata.org/en/latest/docs/reference.html#refguide">Reference Guide</a>.</p>
<p>If you are interested in contributing to Bokeh, or extending the library, see the&nbsp;<a href="https://bokeh.pydata.org/en/latest/docs/dev_guide.html#devguide">Developer Guide</a>.</p><p>Address of the bookmark: <a href="https://bokeh.pydata.org/en/latest/" rel="nofollow">https://bokeh.pydata.org/en/latest/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/8385/peng-lab</guid>
  <pubDate>Tue, 18 Feb 2014 13:53:46 -0600</pubDate>
  <link></link>
  <title><![CDATA[Peng Lab]]></title>
  <description><![CDATA[
<p>Peng Lab at Janelia Farm Research Campus, Howard Hughes Medical Institute focuses on data mining for bioinformatics and computational molecular biology, particularly, bioimage data mining and informatics. These bioimages include cellular and molecular images and related medical images. </p>

<p>* Analysis of Gene Expression Pattern Images: high-performance image analysis and mining for different model organisms, such as fruitfly, C. elegans, and mouse;<br />* Feature/Model Learning: developing algorithms and software</p>

<p>Location :Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, USA.</p>

<p>http://research.janelia.org/peng/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40221/dash-a-web-application-framework-that-provides-pure-python-abstraction-around-html-css-and-javascript</guid>
	<pubDate>Tue, 05 Nov 2019 06:39:48 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40221/dash-a-web-application-framework-that-provides-pure-python-abstraction-around-html-css-and-javascript</link>
	<title><![CDATA[Dash: a web application framework that provides pure Python abstraction around HTML, CSS, and JavaScript.]]></title>
	<description><![CDATA[<p style="margin-top: 0px; margin-bottom: 0.75rem;">Dash is a web application framework that provides pure Python abstraction around HTML, CSS, and JavaScript.</p>
<p style="margin-top: 0px; margin-bottom: 0.75rem;">Dash Bio is a suite of bioinformatics components that make it simpler to analyze and visualize bioinformatics data and interact with them in a Dash application.</p>
<p style="margin-top: 0px; margin-bottom: 0.75rem;">The source can be found on GitHub at<span>&nbsp;</span><a href="https://github.com/plotly/dash-bio">plotly/dash-bio</a>.</p>
<p style="margin-top: 0px; margin-bottom: 0.75rem;">These docs are using Dash Bio version 0.1.4.</p><p>Address of the bookmark: <a href="https://dash.plot.ly/dash-bio" rel="nofollow">https://dash.plot.ly/dash-bio</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/8442/assistant-professor-king-saud-university-riyadh</guid>
  <pubDate>Fri, 21 Feb 2014 05:57:18 -0600</pubDate>
  <link></link>
  <title><![CDATA[Assistant Professor @ King Saud University Riyadh]]></title>
  <description><![CDATA[
<p>Qualifications: Candidates must have a Ph.D. and a strong background in Molecular and Cellular Biology, protein expression, FACS, or computational biology, and ability to work collaboratively.</p>

<p>This position will have a significant focus on providing analytical support for next generation sequencing data analysis – Exome-sequencing, Targetted sequencing as well as high-throughput genotyping on Illumina platform.</p>

<p>Job location:</p>

<p>Genome Research Chair<br />King Saud University, Riyadh-11451<br />KSA</p>

<p>Interested candidate may forward their CV to grcksu@gmail.com</p>
]]></description>
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