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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/35800?offset=1200</link>
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	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/11611/ten-recommendations-for-creating-usable-bioinformatics-command-line-software</guid>
	<pubDate>Sun, 08 Jun 2014 10:06:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/11611/ten-recommendations-for-creating-usable-bioinformatics-command-line-software</link>
	<title><![CDATA[Ten recommendations for creating usable bioinformatics command line software]]></title>
	<description><![CDATA[<p><span>Bioinformatics software varies greatly in quality. In terms of usability, the command line interface is the first experience a user will have of a tool. Unfortunately, this is often also the last time a tool will be used. Here I present ten recommendations for command line software author&rsquo;s tools to follow, which I believe would greatly improve the uptake and usability of their products, waste less user&rsquo;s time, and improve the quality of scientific analyses.</span></p><p>Address of the bookmark: <a href="http://www.gigasciencejournal.com/content/2/1/15?utm_content=buffer25ee0&amp;utm_medium=social&amp;utm_source=twitter.com&amp;utm_campaign=buffer" rel="nofollow">http://www.gigasciencejournal.com/content/2/1/15?utm_content=buffer25ee0&amp;utm_medium=social&amp;utm_source=twitter.com&amp;utm_campaign=buffer</a></p>]]></description>
	<dc:creator>RAJESH DETROJA</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42923/flanker</guid>
	<pubDate>Sat, 27 Feb 2021 22:04:53 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42923/flanker</link>
	<title><![CDATA[Flanker]]></title>
	<description><![CDATA[<p><span>Flanker, a Python package which performs alignment-free clustering of gene flanking sequences in a consistent format, allowing investigation of&nbsp;<span>mobile genetic elements (</span>MGEs) without prior knowledge of their structure.&nbsp;<span>Flanker can be flexibly parameterised to finetune outputs by characterising upstream and downstream regions separately and investigating variable lengths of flanking sequence.</span></span></p>
<p><span><img src="https://github.com/wtmatlock/flanker/raw/main/docs/frontpage.png" alt="image" style="border: 0px;"></span></p><p>Address of the bookmark: <a href="https://github.com/wtmatlock/flanker" rel="nofollow">https://github.com/wtmatlock/flanker</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/12218/assistant-professor-in-medical-bioinformatics</guid>
  <pubDate>Tue, 24 Jun 2014 01:46:36 -0500</pubDate>
  <link></link>
  <title><![CDATA[Assistant Professor in Medical Bioinformatics]]></title>
  <description><![CDATA[
<p>Advt. No : ME-I/A-IV/03/14<br />No.of Posts:01 (SC)<br />Pay Scale:<br />Pay Band of Rs.15600-39100 + Rs.6000/- GP +NPA @ 25% of Basic Pay +Learning Resource Allowance @ Rs.20,000/-P.A.+ Conveyance Allowance @ Rs. 1650/-P.M.+ Academic Allowance @ Rs.2500/- P.M. and other admissible allowances.<br />Qualifications:<br />Area of Specialization:-<br />Bioinformatics/Computational/Biology/Genomics/ Proteomics/ Structural Biology<br />1. Postgraduate qualification, e.g. Master’s Degree in Biotechnology/Bioinformatics/ Biophysics.<br />2. A Doctorate Degree of recognized University/Institute in a basic or allied Medical Science subject e.g. Medical Biotechnology/Biophysics. Bioinformatics/X-ray Crystallography/<br />Immunology/Structural Biology etc<br />Experience:<br />1.Minimum three years teaching and/or research experience in a recognized medical/research Institution in an allied medical subject after obtaining doctorate degree and preferably in Medical<br />Molecular Biology/ Biophysics/Structural Biology/Genomics and Clinical Proteomics/Computational Biology.<br />2. Minimum two publication with atleast one in international journal and atleast one as first author<br />Desirable:-<br />Consistently excellent scholastic/academic record, demonstrated ability to write grant proposal/(s) successfully, Post Doctoral training in a frontier area of medical Bioinformatics Research and of direct relevance to clinical diagnosis or patient care (preferably from a recognized top-ranking medical institution abroad)<br />Send your applications to O/O, Deputy Registrar, Recruitment &amp; Establishment Cell, University of Health Sciences, Rohtak by 08.7.2014<br />For more details,please visit website: http://pgimsrohtak.nic.in/2014%20AP%20Advt.pdf<br />Last Apply Date: 08 Jul 2014</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/36502/creating-conda-environment-for-python27</guid>
	<pubDate>Mon, 07 May 2018 08:56:52 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/36502/creating-conda-environment-for-python27</link>
	<title><![CDATA[Creating conda environment for python2.7]]></title>
	<description><![CDATA[<p>TIP: By default, environments are installed into the&nbsp;<code><span>envs</span></code>&nbsp;directory in your conda directory. Run&nbsp;<code><span>conda</span>&nbsp;<span>create</span>&nbsp;<span>--help</span></code>&nbsp;for information on specifying a different path.</p><p>Use the Terminal or an Anaconda Prompt for the following steps.</p><ol>
<li>
<p>To create an environment:</p>
<div>
<div>
<pre><span></span><span>conda</span> <span>create</span> <span>--</span><span>name</span> <span>myenv</span>
</pre>
</div>
</div>
<p>NOTE: Replace&nbsp;<code><span>myenv</span></code>&nbsp;with the environment name.</p>
</li>
<li>
<p>When conda asks you to proceed, type&nbsp;<code><span>y</span></code>:</p>
<div>
<div>
<pre><span></span>proceed ([y]/n)?
</pre>
</div>
</div>
</li>
</ol><p>This creates the myenv environment in&nbsp;<code><span>/envs/</span></code>. This environment uses the same version of Python that you are currently using, because you did not specify a version.</p><p>To create an environment with a specific version of Python:</p><div><div><pre><span></span>conda create -n myenv <span>python</span><span>=</span><span>3</span>.4
</pre></div></div><p>To create an environment with a specific package:</p><div><div><pre><span></span>conda create -n myenv scipy
</pre></div></div><p>OR:</p><div><div><pre><span></span>conda create -n myenv python
conda install -n myenv scipy
</pre></div></div><p>To create an environment with a specific version of a package:</p><div><div><pre><span></span>conda create -n myenv <span>scipy</span><span>=</span><span>0</span>.15.0
</pre></div></div><p>OR:</p><div><div><pre><span></span>conda create -n myenv python
conda install -n myenv <span>scipy</span><span>=</span><span>0</span>.15.0
</pre></div></div><p>To create an environment with a specific version of Python and multiple packages:</p><div><div><pre><span></span>conda create -n myenv <span>python</span><span>=</span><span>3</span>.4 <span>scipy</span><span>=</span><span>0</span>.15.0 astroid babel
</pre></div></div><p>TIP: Install all the programs that you want in this environment at the same time. Installing 1 program at a time can lead to dependency conflicts.</p><p>To automatically install pip or another program every time a new environment is created, add the default programs to the&nbsp;<a href="https://conda.io/docs/user-guide/configuration/use-condarc.html#config-add-default-pkgs">create_default_packages</a>&nbsp;section of your&nbsp;<code><span>.condarc</span></code>&nbsp;configuration file. The default packages are installed every time you create a new environment. If you do not want the default packages installed in a particular environment, use the&nbsp;<code><span>--no-default-packages</span></code>&nbsp;flag:</p><div><div><pre><span></span>conda create --no-default-packages -n myenv python
</pre></div></div><p>TIP: You can add much more to the&nbsp;<code><span>conda</span>&nbsp;<span>create</span></code>&nbsp;command. For details, run&nbsp;<code><span>conda</span>&nbsp;<span>create</span>&nbsp;<span>--help</span></code>.</p><p>➜ redundans git:(master) ✗ conda create --name py27 python=2.7<br />Solving environment: done</p><p><br />==&gt; WARNING: A newer version of conda exists. &lt;==<br /> current version: 4.5.0<br /> latest version: 4.5.2</p><p>Please update conda by running</p><p>$ conda update -n base conda</p><p>&nbsp;</p><p>## Package Plan ##</p><p>environment location: /home/urbe/anaconda3/envs/py27</p><p>added / updated specs: <br /> - python=2.7</p><p><br />The following packages will be downloaded:</p><p>package | build<br /> ---------------------------|-----------------<br /> wheel-0.31.0 | py27_0 61 KB<br /> python-2.7.15 | h1571d57_0 12.1 MB<br /> certifi-2018.4.16 | py27_0 142 KB<br /> sqlite-3.23.1 | he433501_0 1.5 MB<br /> setuptools-39.1.0 | py27_0 582 KB<br /> openssl-1.0.2o | h20670df_0 3.4 MB<br /> pip-10.0.1 | py27_0 1.7 MB<br /> ca-certificates-2018.03.07 | 0 124 KB<br /> ------------------------------------------------------------<br /> Total: 19.6 MB</p><p>The following NEW packages will be INSTALLED:</p><p>ca-certificates: 2018.03.07-0 <br /> certifi: 2018.4.16-py27_0 <br /> libedit: 3.1-heed3624_0 <br /> libffi: 3.2.1-hd88cf55_4 <br /> libgcc-ng: 7.2.0-hdf63c60_3 <br /> libstdcxx-ng: 7.2.0-hdf63c60_3 <br /> ncurses: 6.0-h9df7e31_2 <br /> openssl: 1.0.2o-h20670df_0<br /> pip: 10.0.1-py27_0 <br /> python: 2.7.15-h1571d57_0<br /> readline: 7.0-ha6073c6_4 <br /> setuptools: 39.1.0-py27_0 <br /> sqlite: 3.23.1-he433501_0<br /> tk: 8.6.7-hc745277_3 <br /> wheel: 0.31.0-py27_0 <br /> zlib: 1.2.11-ha838bed_2</p><p>Proceed ([y]/n)? y</p><p><br />Downloading and Extracting Packages<br />wheel 0.31.0: #################################################################################################################################################################################################### | 100% <br />python 2.7.15: ################################################################################################################################################################################################### | 100% <br />certifi 2018.4.16: ############################################################################################################################################################################################### | 100% <br />sqlite 3.23.1: ################################################################################################################################################################################################### | 100% <br />setuptools 39.1.0: ############################################################################################################################################################################################### | 100% <br />openssl 1.0.2o: ################################################################################################################################################################################################## | 100% <br />pip 10.0.1: ###################################################################################################################################################################################################### | 100% <br />ca-certificates 2018.03.07: ###################################################################################################################################################################################### | 100% <br />Preparing transaction: done<br />Verifying transaction: done<br />Executing transaction: done<br />#<br /># To activate this environment, use:<br /># &gt; source activate py27<br />#<br /># To deactivate an active environment, use:<br /># &gt; source deactivate<br />#</p><p>➜ redundans git:(master) ✗ source activate py27</p>]]></description>
	<dc:creator>Jit</dc:creator>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/12582/postdoc-position-at-centre-mediterraneen-de-medecine-moleculaire</guid>
  <pubDate>Sun, 06 Jul 2014 11:23:06 -0500</pubDate>
  <link></link>
  <title><![CDATA[Postdoc position at Centre Méditerranéen de Médecine Moléculaire]]></title>
  <description><![CDATA[
<p>The research group of Dr. Michele Trabucchi at the Centre Méditerranéen de Médecine Moléculaire (C3M) at INSERM U1065 (University of Nice Sophia-Antipolis, France) is seeking candidates for a Postdoctoral fellow position to start on October 2014 for 3 years funded by FRM (Fondation pour la Recherche Médicale).<br />The broad interest of the lab is in understanding the expression control and function of small RNAs in activated myeloid cells (visit our webpage to check research interests and publications of the group : http://www.unice.fr/c3m/EN/Equipe10.html ). </p>

<p>The work will focus on the functional studies of small RNAs by using next-generation sequencing approaches.<br /> <br />Candidates should hold a Ph.D. degree and have strong background in bioinformatics.<br />The University of Nice Sophia-Antipolis provides a wide range of facilities and training essential for biomedical research.<br />Interested applicants should send a PDF with a cover letter stating research interests and qualifications, an updated CV, a summary of previous research experience and contact information for two references to Michele Trabucchi ( mtrabucchi@unice.fr )</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44179/python-mini-projects</guid>
	<pubDate>Mon, 16 Jan 2023 02:14:03 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44179/python-mini-projects</link>
	<title><![CDATA[Python Mini Projects !]]></title>
	<description><![CDATA[<p><span>There is a directory for each chapter of the book. Each directory contains a&nbsp;</span><code>test.py</code><span>&nbsp;program you can use with&nbsp;</span><code>pytest</code><span>&nbsp;to check that you have written the program correctly. I have included a short README to describe each exercise. If you have problems writing code (or if you would like to support this project!), the book contains details about the skills you need.</span></p>
<p>https://github.com/kyclark/tiny_python_projects</p><p>Address of the bookmark: <a href="https://github.com/kyclark/tiny_python_projects" rel="nofollow">https://github.com/kyclark/tiny_python_projects</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/12870/nuclear-dynamics-lab</guid>
  <pubDate>Thu, 17 Jul 2014 15:03:27 -0500</pubDate>
  <link></link>
  <title><![CDATA[Nuclear Dynamics Lab]]></title>
  <description><![CDATA[
<p>Lab focus is to elucidate fundamental principles, new mechanisms, machineries and emergent properties that are involved in maintaining the genome and gene expression programmes for improvements in lifelong health and well-being for all.</p>

<p>More at http://www.babraham.ac.uk/our-research/nuclear-dynamics/</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43040/coronavir-computational-resources-on-novel-coronavirus-sars-cov-2-or-covid-19</guid>
	<pubDate>Tue, 27 Apr 2021 01:58:36 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43040/coronavir-computational-resources-on-novel-coronavirus-sars-cov-2-or-covid-19</link>
	<title><![CDATA[CoronaVIR: Computational Resources on Novel Coronavirus (SARS-CoV-2 or COVID-19)]]></title>
	<description><![CDATA[<div>
<p style="text-align: justify;">Aim of this web site is to facilitate the scientific community to fight against severe pandemic disease COVID-19 caused by SARS-CoV-2. Here, We have collected and organized information related to novel strain of coronavirus, i.e. SARS-CoV-2.and its resulting disease COVID-19 from the literature and other resources from the Internet. We are providing links to appropriate literature. Moreover, we are Bioinformatics Group, based on our knowledge and expertise, we are also proposing potential diagnostics primers, peptide and RNA based vaccine candidates and potential drug molecules. These are predicted candidates, need to be validated by experimental Researchers, who have appropriate infrastructure. It is an integrated multi-omics repository dedicated to current genomic, proteomic, diagnostic and therapeutic knowledge about coronaviruses particularly the recent strain, i.e. SARS-CoV-2 or 2019-nCoV. This web resource will be helpful for the researchers engaged in the development of therapies and drugs for the COVID-19. The information is collected from various available resources.<br><strong>Cite:&nbsp;</strong><a href="https://www.liebertpub.com/doi/10.1089/mab.2020.0035">Patiyal, Sumeet, et al. &ldquo;A Web-based Platform on COVID-19 to Maintain Predicted Diagnostic, Drug<br>and Vaccine Candidates.&rdquo; Monoclon Antib Immunodiagn Immunother. doi.org/10.1089/mab.2020.0035</a></p>
<div>
<p>&nbsp;</p>
</div>
</div><p>Address of the bookmark: <a href="https://webs.iiitd.edu.in/raghava/coronavir/" rel="nofollow">https://webs.iiitd.edu.in/raghava/coronavir/</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/14218/pimp-your-brain-bioinformatics</guid>
	<pubDate>Wed, 20 Aug 2014 22:09:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/14218/pimp-your-brain-bioinformatics</link>
	<title><![CDATA[Pimp your brain: Bioinformatics]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/KqelGy6Q8nE" frameborder="0" allowfullscreen></iframe>Jan Lisec from the Max Planck Institute of Molecular Plant Physiology explains, in this "pimp your brain" episode, what bioinformatics is and why bioinformatics is so important and indispensable for biological research.

In the video serial "Pimp your brain" scientists from the Max Planck Institute of Molecular Plant Physiology describe their research. More videos from the 'Pimp your brain' serial are available on www.youtube.com/playlist?list=PL-l9VItC9Gn2Ur2Xj6PTOAkjLUlVPbIOO

More videos are available on www.mpimp-golm.mpg.de]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/41804/useful-links-to-therapy-disease-drug-and-drug-target-network-data</guid>
	<pubDate>Mon, 01 Jun 2020 11:47:51 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/41804/useful-links-to-therapy-disease-drug-and-drug-target-network-data</link>
	<title><![CDATA[Useful links to therapy, disease, drug and drug-target network data:]]></title>
	<description><![CDATA[<p>Useful links to therapy, disease, drug and drug-target network data:</p><p><strong>DrugBank:</strong></p><p>a bioinformatics- cheminformatics resource combining detailed drug data with comprehensive drug target information with &gt;4900 drug (~3500 experimental) and &gt;1500 non-redundant protein entries http://www.drugbank.ca/</p><p><strong>Drug-Target Network:</strong></p><p>network data of 890 drugs and 394 target human proteins http://www.nature.com/nbt/journal/v25/ n10/suppinfo/nbt1338_S1.html</p><p><strong>Drug-Therapy Network:</strong></p><p>three layers of drug-therapy networks according to the ATC classification http://www.biomedcentral.com/1471-2210/8/5/additional/</p><p><strong>FDA Orange Book:</strong></p><p>approved drug products with therapeutic equivalence evaluations http://www.fda.gov/cder/ob/HIDdb: Thomson Investigational drugs database including information on 107000 patents, 25000 investigational drugs and 80000 chemical structures http://scientific.thomson.com/products/iddb/HOMIM: a knowledgebase of human genes and genetic disorders http://www.ncbi.nlm.nih.gov/ sites/entrez?db=omim</p><p><strong>PDTD:</strong></p><p>3D drug target structure database with a target identification option http://www.dddc.ac.cn/pdtd/</p><p><strong>Predicted drug targets:</strong></p><p>a set of 1383 predicted drug targets http://www.biomedcentral.com/1471-2105/8/353/additional/ [25] Protein ligand network: a network of 4208 ligands and ~15000 binding sites http://pbil.kaist.ac.kr/~parkkw/Lnet/</p><p><strong>TDR Targets Database:</strong></p><p>identification and ranking targets against neglected tropical diseases http://tdrtargets.org/</p><p><strong>Therapeutic Target Database:</strong></p><p>lists &gt;1500 therapeutic targets, disease conditions and corresponding drugs http://xin.cz3.nus.edu.sg/group/cjttd/ttd.asp</p>]]></description>
	<dc:creator>Jit</dc:creator>
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