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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/30701?offset=1430</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42953/ra-bioinformatics-at-sir-ganga-ram-hospital-new-delhi</guid>
  <pubDate>Sun, 14 Mar 2021 10:40:18 -0500</pubDate>
  <link></link>
  <title><![CDATA[RA Bioinformatics at Sir Ganga Ram Hospital, New Delhi]]></title>
  <description><![CDATA[
<p>Opportunities available at Institute of Medical Genetics &amp; Genomics, Sir Ganga Ram Hospital, New Delhi.</p>

<p>1) Senior Research Fellow under ICMR Project: M.Sc. (Life Sciences) with 2 years of experience (preferable in the field of Bioinformatics) or MBBS Degree.</p>

<p>2) Research Associate under ICMR Project: . Ph.D.(Life Science/Biotechnology/Bioinformatics) or equivalent degree or having 3 years of research, teaching and design and development experience after M.Tech with at least one research paper in science Citation Indexed (SCI) Journal.<br />Work experience in the area of Human genomics/Next Generation Sequencing data analysis/Big data genomics would be preferred.<br />Application link:</p>

<p>https://sgrh.com/joblist</p>

<p>Post Code: 2023, 2024</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/43341/nigerian-bioinformatics-and-genomics-network-nbgn</guid>
  <pubDate>Tue, 31 Aug 2021 08:29:40 -0500</pubDate>
  <link></link>
  <title><![CDATA[Nigerian Bioinformatics and Genomics Network (NBGN)]]></title>
  <description><![CDATA[
<p>This is to announce the second official conference of the Nigerian Bioinformatics and Genomics Network (NBGN). October 11-13,2021 at Landmark University, Omu-Aran, Kwara State and Zoom ( conference link to be announced soon</p>

<p>#NBGN21</p>

<p>www.nbgn21conference.com</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/44294/opportunity-at-mcdermott-center-bioinformatics-lab</guid>
  <pubDate>Sat, 01 Apr 2023 09:56:39 -0500</pubDate>
  <link></link>
  <title><![CDATA[Opportunity at McDermott Center Bioinformatics Lab]]></title>
  <description><![CDATA[
<p>Our team, composed of experts from diverse backgrounds including genetics, cancer biology, computer science, bioinformatics, and microbiology, stays current with evolving bioinformatics techniques. We offer consulting, customized service, and collaboration opportunities. We suggest visiting us to discuss your experiment design and results, as we can tailor our assistance to meet your specific research goals.</p>

<p>https://labs.utsouthwestern.edu/bioinformatics-lab/positions</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44624/bioinformatics-workshops</guid>
	<pubDate>Wed, 31 Jul 2024 02:16:53 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44624/bioinformatics-workshops</link>
	<title><![CDATA[Bioinformatics Workshops !]]></title>
	<description><![CDATA[<p>When delving into bioinformatics, having access to reliable resources is crucial for effective research and analysis. Key online resources include the National Center for Biotechnology Information (NCBI), which offers tools like BLAST for sequence alignment and comprehensive gene databases. For presentations and educational materials, exploring SlideShare for introductory and advanced bioinformatics topics can provide valuable insights and learning aids.</p>
<p>https://evomics.org/2024-workshop-on-genomics/</p><p>Address of the bookmark: <a href="https://evomics.org/2024-workshop-on-genomics/" rel="nofollow">https://evomics.org/2024-workshop-on-genomics/</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34720/meraculous-haplotype-sensitive-assembly-of-highly-heterozygous-genomes</guid>
	<pubDate>Wed, 20 Dec 2017 18:59:42 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34720/meraculous-haplotype-sensitive-assembly-of-highly-heterozygous-genomes</link>
	<title><![CDATA[Meraculous: Haplotype-sensitive Assembly of Highly Heterozygous genomes.]]></title>
	<description><![CDATA[<p><span>Meraculous is a whole genome assembler for Next Generation Sequencing data geared for large genomes. It is a hybrid k-mer/read-based assembler that capitalizes on the high accuracy of Illumina sequence by eschewing an explicit error correction step which we argue to be redundant with the assembly process. Meraculous achieves high performance with large datasets by utilizing lightweight data structures and multi-threaded parallelization, allowing to assemble human-sized genomes on commodity clusters in under a day. The process pipeline implements a highly transparent and portable model of job control and monitoring where different assembly stages can be executed and re-executed separately or in unison on a wide variety of architectures.</span></p>
<p><span>https://jgi.doe.gov/data-and-tools/meraculous/</span></p>
<p><span>https://arxiv.org/ftp/arxiv/papers/1703/1703.09852.pdf</span></p><p>Address of the bookmark: <a href="https://sourceforge.net/projects/meraculous20/" rel="nofollow">https://sourceforge.net/projects/meraculous20/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/44669/bioinformatician-at-qub-uk</guid>
  <pubDate>Tue, 01 Oct 2024 21:43:23 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatician at QUB, UK]]></title>
  <description><![CDATA[
<p>The post-holder will work under the direction of the Precision Medicine Centre of Excellence's (PMC) Bioinformatics lead and collaborate closely with the Scientific and Clinical leads. The primary responsibilities will be to develop, validate and maintain data analysis pipelines and algorithms that enable the comprehensive analysis of genomic information derived from cancer specimens, within the context of clinical studies. The PMC is an ISO 15189:2012 accredited medical laboratory (Ref 20634), providing an integrated cancer diagnostic and clinical research service that combines high throughput genomics and digital pathology (www.qub.ac.uk/research-centres/PMC).</p>

<p>About the person:</p>

<p>Essential criteria:</p>

<p>Hold or be about to obtain* a PhD in Computational biology, Bioinformatics, computing science or related subjects. (*must be obtained within 3 months of the closing date for the post) or MSc equivalent with at least 3 years' work experience in a relevant role.<br />Significant relevant research experience in genomics or work experience in a relevant technical/scientific role.<br />Significant experience in managing and analysing NGS data and other big data.<br />Experience in developing and maintaining analysis pipelines.<br />Experience working with Linux/UNIX environments.<br />Proficiency with python, bash, R and/or equivalent languages.<br />To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information document linked on our website.</p>

<p>More at https://hrwebapp.qub.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36476/flye-fast-and-accurate-de-novo-assembler-for-single-molecule-sequencing-reads</guid>
	<pubDate>Fri, 04 May 2018 19:16:22 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36476/flye-fast-and-accurate-de-novo-assembler-for-single-molecule-sequencing-reads</link>
	<title><![CDATA[Flye: Fast and accurate de novo assembler for single molecule sequencing reads]]></title>
	<description><![CDATA[<p><span>Flye is a de novo assembler for long and noisy reads, such as those produced by PacBio and Oxford Nanopore Technologies. The algorithm uses an A-Bruijn graph to find the overlaps between reads and does not require them to be error-corrected. After the initial assembly, Flye performs an extra repeat classification and analysis step to improve the structural accuracy of the resulting sequence. The package also includes a polisher module, which produces the final assembly of high nucleotide-level quality.</span></p><p>Address of the bookmark: <a href="https://github.com/fenderglass/Flye" rel="nofollow">https://github.com/fenderglass/Flye</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/44702/postdoc-in-comparative-single-cell-genomics-at-university-of-basel</guid>
  <pubDate>Fri, 06 Dec 2024 23:41:20 -0600</pubDate>
  <link></link>
  <title><![CDATA[Postdoc in Comparative Single Cell Genomics at University of Basel]]></title>
  <description><![CDATA[
<p>A fully funded 4-year Postdoc position is available in the lab of Patrick<br />Tschopp at the University of Basel, Switzerland, study the molecular and<br />tissue-scale dynamics during the embryonic formation of the vertebrate<br />skeleton and compare it across different vertebrate species with distinct<br />habitats.</p>

<p>We are looking for a highly motivated candidate with a PhD degree in<br />Bioinformatics or a related field. Candidates are expected to have a<br />strong background in evolutionary biology and/or comparative functional<br />genomics. Additional experiences in single cell functional genomics<br />analyses, statistics and computational data analyses are a plus, as is<br />an interest in comparative developmental (EvoDevo) questions.</p>

<p>We offer a dynamic and interactive research environment with state-of-the<br />art research facilities, good research funding and internationally<br />competitive salaries.</p>

<p>The Tschopp lab (www.evolution.unibas.ch/tschopp/research/)<br />studies the gene regulatory mechanisms of cell type<br />specification and evolution in vertebrates. See also our<br />preprints at https://doi.org/10.1101/2024.03.26.586769 and<br />https://doi.org/10.1101/2024.11.28.625862 Applications should include<br />a motivation letter, a CV, a list of publications, a statement about<br />research interests, as well as the names and contact details of at<br />least two referees. Applications (in the form of a single .pdf file)<br />should be sent to Patrick Tschopp (patrick.tschopp@unibas.ch); review<br />of applications will begin on January 1st 2025, and will continue until<br />the position is filled.</p>

<p>Patrick Tschopp</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36837/ranbow-a-haplotype-assembler-for-polyploid-genomes</guid>
	<pubDate>Fri, 01 Jun 2018 07:21:54 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36837/ranbow-a-haplotype-assembler-for-polyploid-genomes</link>
	<title><![CDATA[Ranbow: a haplotype assembler for polyploid genomes]]></title>
	<description><![CDATA[Ranbow is a haplotype assembler for polyploid genomes. It has been developed for the haplotype assembly of the hexaploid sweet potato genome, which is highly heterozygous. Ranbow can also be applied to other polyploid genomes. After a first phasing, Ranbow utilizes the assembled haplotypes to improve the accuracy of variant calling results and to infer the evolutionary history of the organism´s genome. Ranbow has three main modes of function:

ranbow hap: for haplotyping
ranbow eval: for evaluating of the assemble haplotypes by gold standard (long) reads 
ranbow phylo: for the phylogenetic analysis<p>Address of the bookmark: <a href="https://www.molgen.mpg.de/ranbow" rel="nofollow">https://www.molgen.mpg.de/ranbow</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44746/cracking-the-code-a-guide-to-bioinformatics-job-hunting</guid>
	<pubDate>Mon, 23 Dec 2024 19:36:41 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44746/cracking-the-code-a-guide-to-bioinformatics-job-hunting</link>
	<title><![CDATA[Cracking the Code: A Guide to Bioinformatics Job Hunting]]></title>
	<description><![CDATA[<p>Entering the world of bioinformatics is an exciting journey, filled with opportunities to combine biology, data science, and technology to address some of the most pressing scientific challenges. However, securing a position in this competitive field can be daunting, especially for newcomers. Here&rsquo;s a guide to help you navigate the job-hunting process and land your dream role in bioinformatics.</p><h4>1. <strong>Understand the Landscape</strong></h4><p>Before diving into applications, take the time to understand the bioinformatics job market. Common roles include:</p><ul>
<li><strong>Bioinformatics Analyst/Scientist:</strong> Focused on data analysis and interpretation.</li>
<li><strong>Computational Biologist:</strong> Combines computational techniques with biological research.</li>
<li><strong>Data Scientist in Genomics:</strong> Applies machine learning and statistical models to genomic data.</li>
<li><strong>Software Developer in Bioinformatics:</strong> Designs and develops tools and pipelines for biological research.</li>
</ul><p>Familiarize yourself with the key industries hiring bioinformaticians, such as academia, biotech, pharmaceuticals, healthcare, and agriculture.</p><h4>2. <strong>Build a Strong Foundation</strong></h4><p>Bioinformatics demands a diverse skill set. Ensure you have a solid foundation in the following areas:</p><ul>
<li><strong>Programming Skills:</strong> Proficiency in Python, R, or Perl is often required. Familiarity with tools like Bash scripting and version control systems (e.g., Git) is a plus.</li>
<li><strong>Statistics and Data Analysis:</strong> Knowledge of statistical methods, machine learning, and data visualization is crucial.</li>
<li><strong>Biological Knowledge:</strong> Understanding genomics, transcriptomics, and proteomics will help you communicate effectively with biologists.</li>
<li><strong>Specialized Tools and Databases:</strong> Be comfortable using tools like BLAST, Bowtie, and databases like NCBI and Ensembl.</li>
</ul><h4>3. <strong>Create a Winning Resume and Portfolio</strong></h4><p>Highlight your technical skills, biological knowledge, and relevant experience. Tips for a standout application:</p><ul>
<li>Tailor your resume to each job, emphasizing skills mentioned in the job description.</li>
<li>Showcase your experience with real-world datasets by linking to your GitHub profile or online portfolio.</li>
<li>Include details of any publications, presentations, or significant projects.</li>
</ul><h4>4. <strong>Network Actively</strong></h4><p>Networking is often the key to discovering opportunities. Here&rsquo;s how to build connections:</p><ul>
<li><strong>Attend Conferences and Workshops:</strong> Events like ISMB or specialized bioinformatics workshops are great for meeting professionals.</li>
<li><strong>Engage Online:</strong> Join LinkedIn groups, participate in bioinformatics forums, and follow relevant hashtags on Twitter.</li>
<li><strong>Leverage Alumni Networks:</strong> Connect with alumni from your university who are working in the field.</li>
</ul><h4>5. <strong>Gain Relevant Experience</strong></h4><p>Experience is a major factor for hiring managers. Ways to enhance your profile include:</p><ul>
<li><strong>Internships:</strong> Seek out internships in research labs or biotech companies.</li>
<li><strong>Collaborations:</strong> Volunteer to work on projects with professors or peers.</li>
<li><strong>Open Source Contributions:</strong> Participate in bioinformatics software development on platforms like GitHub.</li>
</ul><h4>6. <strong>Prepare for Interviews</strong></h4><p>Bioinformatics interviews often combine technical and behavioral questions. Prepare by:</p><ul>
<li><strong>Reviewing Key Concepts:</strong> Refresh your knowledge of algorithms, sequence analysis, and statistical methods.</li>
<li><strong>Practicing Coding:</strong> Be ready to solve coding challenges or discuss code snippets.</li>
<li><strong>Understanding the Organization:</strong> Research their recent projects, publications, or products.</li>
<li><strong>Preparing Questions:</strong> Demonstrate interest by asking about their tools, workflows, or team structure.</li>
</ul><h4>7. <strong>Stay Resilient and Persistent</strong></h4><p>Job hunting can be a long process, but persistence pays off. Tips to keep moving forward:</p><ul>
<li>Keep improving your skills by taking online courses or certifications.</li>
<li>Stay updated with advancements in bioinformatics by following journals and blogs.</li>
<li>Apply to multiple positions and don&rsquo;t get discouraged by rejections. Each application is a learning experience.</li>
</ul><h3>Closing Thoughts</h3><p>Landing a bioinformatics job requires a mix of technical expertise, networking, and resilience. By understanding the market, showcasing your skills effectively, and continuously learning, you&rsquo;ll be well on your way to a rewarding career in this dynamic field. Remember, the key to cracking the code is perseverance&mdash;stay curious, stay determined, and success will follow.</p>]]></description>
	<dc:creator>Abhi</dc:creator>
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