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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/31100?offset=1570</link>
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	<description><![CDATA[]]></description>
	
	
<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42264/bioinformatics-jobs-at-acrannolife</guid>
  <pubDate>Sun, 25 Oct 2020 22:51:35 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics jobs at Acrannolife]]></title>
  <description><![CDATA[
<p>Acrannolife are looking for skilled Bioinformatics Scientists with a minimum of 2yrs Experience in NGS data analysis including Nanopore Sequencing.</p>

<p>This is an opportunity to work on projects that would fundamentally alter the way certain chronic conditions are treated and monitored.</p>

<p>About acrannolife:</p>

<p>We are a team of Post Docs, PhDs, Engineers, Clinicians, and MBAs working towards a future where biology intersects with software(Computational Biology).</p>

<p>We are incubated in Atal Incubation Centre - CCMB and have been backed by some of the leading thought leaders ranging from business to clinical practices.</p>

<p>Interested candidates can fill this form. https://lnkd.in/gtq47hy</p>

<p>and send their CV to hr@acrannolife.com</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42374/postdoc-in-comparative-genomics</guid>
  <pubDate>Tue, 08 Dec 2020 09:26:40 -0600</pubDate>
  <link></link>
  <title><![CDATA[Postdoc in comparative genomics]]></title>
  <description><![CDATA[
<p>We are looking for a highly motivated researcher for an 18 month postdoctoral position collaborating in an exciting project on comparative genomics of marine fish and shellfish species. In the project, we use genome resequencing data from a range of species to reconstruct the demographic history and characterize genomic signals associated with population divergence and local adaptation in high gene flow scenarios. The work will improve our understanding of interacting evolutionary processes and provide valuable data for securing sustainable management and conservation of exploited resources. Applicants are encouraged to develop their own research ideas within this framework.</p>

<p>The fellowship is part of a larger Nordic collaborative project, MarGen_II, financed by the EU Interreg Öresund-Kattegat-Skagerrak Programme, the Danish Rod and Net License Funds and the National Institute of Aquatic Resources (DTU Aqua). The project will primarily be carried out in the population genetics group, Section for Marine Living Resources, situated in Silkeborg, Denmark. DTU Aqua is an institute at the Technical University of Denmark. In addition, the position offers many opportunities for collaborating with Nordic and other European colleagues in the field.</p>

<p>Application:<br />Apply online at<br />https://www.dtu.dk/english/About/JOB-and-CAREER/vacant-positions/job?id=d198fd80-4856-4a56-943d-485106026504.<br />The deadline is 4 January 2021. For further information, please contact<br />Senior Researcher Jakob Hemmer-Hansen, jhh@aqua.dtu.dk.</p>

<p>You can read more about DTU Aqua at www.aqua.dtu.dk<br />and the population genetics group at<br />https://www.aqua.dtu.dk/english/research/population_genetics.</p>

<p>All interested candidates irrespective of age, gender, race, disability,<br />religion or ethnic background are encouraged to apply.</p>

<p>Jakob Hemmer Hansen</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42670/icgeb-bioinformatics-job</guid>
  <pubDate>Sat, 23 Jan 2021 21:01:55 -0600</pubDate>
  <link></link>
  <title><![CDATA[ICGEB Bioinformatics Job]]></title>
  <description><![CDATA[
<p>The following vacancies are available in the various ongoing bioinformatics projects at.<br />Translational Bioinformatics Group (https://www.icgeb.org/dinesh-gupta/), ICGEB, New Delhi, India. Shortlisted candidates will be welcomed for an on-line interview at ICGEB. Only the chosen applicants will be informed individually. Preference will be given to the applicants with experience related to Bioinformatics as well as Computational area.</p>

<p>Interested applicants must submit their complete, updated Curriculum Vitae, mentioning details of two references as well as various other details at – http://14.139.62.220/survey/index.php/2021/01/21/icgeb-dbt-project-vacancy/</p>

<p>The last date of submission of applications is January 31st, 2021.</p>

<p>Research Associate : PhD. Degree in Computational Biology/Bioinformatics.</p>

<p>Consolidated Salary: 58280/- pm (including HRA).</p>

<p>More at https://www.icgeb.org/project-positions-translational-bioinformatics-group/ and https://www.icgeb.org/category/vacancies/</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/42810/bioinformatics-in-africa-part3-mali</guid>
	<pubDate>Sat, 06 Feb 2021 13:28:44 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/42810/bioinformatics-in-africa-part3-mali</link>
	<title><![CDATA[Bioinformatics in Africa: Part3 - Mali]]></title>
	<description><![CDATA[<p>International&nbsp;Center&nbsp;for&nbsp;Excellence&nbsp;in&nbsp;Research&nbsp;(ICER):</p><p>The&nbsp;ICER&nbsp;is&nbsp;a&nbsp;research&nbsp;center&nbsp;composed&nbsp;of&nbsp;the&nbsp;following&nbsp;three&nbsp;programs: 1. The&nbsp;Malaria&nbsp;Research&nbsp;and&nbsp;Training&nbsp;Center&nbsp;&shy;&nbsp;Parasitology&nbsp;Group,&nbsp; 2. The&nbsp;Malaria&nbsp;Research&nbsp;and&nbsp;Training&nbsp;Center&nbsp;&shy;&nbsp;Entomology&nbsp;Group&nbsp; 3. The&nbsp;SEREFO&nbsp;Group.</p><p>The&nbsp;first&nbsp;two&nbsp;programs&nbsp;develop&nbsp;biomedical&nbsp;researches&nbsp;in&nbsp;malaria,&nbsp;Filariasis&nbsp;and&nbsp;Leishmaniasis.&nbsp;The&nbsp; third&nbsp;program&nbsp;develops&nbsp;biomedical&nbsp;researches&nbsp;in&nbsp;tuberculosis&nbsp;and&nbsp;HIV.</p><p>Bioinformatics&nbsp;was&nbsp;introduced&nbsp;recently&nbsp;to&nbsp;the&nbsp;ICER&nbsp;and&nbsp;is&nbsp;constantly&nbsp;growing.&nbsp;The&nbsp;ICER&nbsp;has&nbsp;one&nbsp; team,&nbsp;headed&nbsp;by&nbsp;Sidy&nbsp;SOUMARE,&nbsp;which&nbsp;supports&nbsp;the&nbsp;three&nbsp;programmes&nbsp;in&nbsp;all&nbsp;their&nbsp;needs&nbsp;in&nbsp; informatics&nbsp;and&nbsp;bioinformatics.&nbsp;This&nbsp;team&nbsp;can&nbsp;beneficiate&nbsp;from&nbsp;some&nbsp;computational&nbsp;facilities&nbsp;(4&nbsp; blast&nbsp;servers,&nbsp;15&nbsp;other&nbsp;servers&nbsp;and&nbsp;around&nbsp;200&nbsp;terminals),&nbsp;but&nbsp;the&nbsp;ICER&nbsp;staff&nbsp;needs&nbsp;some&nbsp;training&nbsp;in&nbsp; order&nbsp;to&nbsp;be&nbsp;able&nbsp;to&nbsp;administrate&nbsp;these&nbsp;facilities.</p><p>Research&nbsp;Interest&nbsp;and&nbsp;Activities: The&nbsp;following&nbsp;are&nbsp;the&nbsp;present&nbsp;areas&nbsp;of&nbsp;research&nbsp;interest: 1. Functional&nbsp;genomics 2. Analysis&nbsp;of&nbsp;microarray&nbsp;data 3. Interaction&nbsp;between&nbsp;the&nbsp;vector&nbsp;and&nbsp;the&nbsp;parasite.</p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>

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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42907/lecturer-in-evolutionary-biology-bioinformatics-at-department-of-zoology-te-tari-matai-kararehe-division-of-sciences-te-rohe-a-ahikaroa</guid>
  <pubDate>Tue, 23 Feb 2021 02:05:15 -0600</pubDate>
  <link></link>
  <title><![CDATA[Lecturer in Evolutionary Biology (Bioinformatics) at DEPARTMENT of ZOOLOGY | TE TARI MĀTAI KARAREHE DIVISION of SCIENCES | TE ROHE A AHIKAROA]]></title>
  <description><![CDATA[
<p>DEPARTMENT of ZOOLOGY | TE TARI MĀTAI KARAREHE<br />DIVISION of SCIENCES | TE ROHE A AHIKAROA</p>

<p>Applications are invited for the position of Lecturer in Evolutionary Biology (Bioinformatics).</p>

<p>We are seeking a person with a relevant doctorate, and demonstrated potential to develop as an outstanding researcher and teacher in evolutionary bioinformatics in the Department of Zoology. The position affords an exciting opportunity for an emerging scholar to research and teach in a vibrant and diverse Department. The successful candidate will develop a transformative and collaborative research program, supporting the university's commitment to excellence in research.</p>

<p>Your skills and experience</p>

<p>A PhD with a background in analysis of high-throughput sequencing data and evolutionary biology.<br />Knowledge of and familiarity with a range of bioinformatics skills, concepts, and practices as they relate to the biology of animals, including genomic, transcriptomic and metabarcoding data analyses.<br />A strong interest, and experience, in research and teaching of bioinformatics and evolutionary genomics.<br />An ability to contribute to teaching and learning environments that support engagement of students and staff with bioinformatics and genomics.<br />Be committed to and or have established connections or track record of working with national and local bioinformaticians. <br />Be committed to being a productive collaborator with a track record of working collegially.<br />Further details</p>

<p>This is a confirmation-path (tenure track) position at the level of Lecturer. The successful candidate is expected to take up duties by 1 July 2021.</p>

<p>To see a full job description and to apply online go to: https://otago.taleo.net/careersection/2/jobdetail.ftl?job=2100342</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35540/hinge-long-read-assembly-achieves-optimal-repeat-resolution</guid>
	<pubDate>Wed, 07 Feb 2018 09:40:22 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35540/hinge-long-read-assembly-achieves-optimal-repeat-resolution</link>
	<title><![CDATA[HINGE: Long-Read Assembly Achieves Optimal Repeat Resolution]]></title>
	<description><![CDATA[<p>Software accompanying "HINGE: Long-Read Assembly Achieves Optimal Repeat Resolution"</p>
<ul>
<li>
<p>Preprint:&nbsp;<a href="http://biorxiv.org/content/early/2016/08/01/062117">http://biorxiv.org/content/early/2016/08/01/062117</a></p>
</li>
<li>
<p>Paper:&nbsp;<a href="http://genome.cshlp.org/content/27/5/747.full">http://genome.cshlp.org/content/27/5/747.full</a></p>
</li>
<li>
<p>An ipython notebook to reproduce results in the paper can be found in this&nbsp;<a href="https://github.com/govinda-kamath/HINGE-analyses">repository</a>.</p>
</li>
</ul>
<p>HINGE is an OLC(Overlap-Layout-Consensus) assembler. The idea of the pipeline is shown below.</p>
<p><a href="https://github.com/HingeAssembler/HINGE/blob/master/misc/High_level_overview.png" target="_blank"><img src="https://github.com/HingeAssembler/HINGE/raw/master/misc/High_level_overview.png" alt="image" style="border: 0px;"></a></p><p>Address of the bookmark: <a href="https://github.com/HingeAssembler/HINGE" rel="nofollow">https://github.com/HingeAssembler/HINGE</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36514/evidentialgene-tr2aacds-mrna-transcript-assembly-software</guid>
	<pubDate>Tue, 08 May 2018 04:39:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36514/evidentialgene-tr2aacds-mrna-transcript-assembly-software</link>
	<title><![CDATA[EvidentialGene: tr2aacds, mRNA Transcript Assembly Software]]></title>
	<description><![CDATA[<p><span>EvidentialGene is a genome informatics project, "Evidence Directed Gene Construction for Eukaryotes", to construct high quality, accurate gene sets for animals and plants, developed by Don Gilbert at Indiana University, see</span><br><a href="http://arthropods.eugenes.org/EvidentialGene/" target="_blank">http://arthropods.eugenes.org/EvidentialGene/<span></span></a><br><br><span>Construction refers to the combination of classical gene prediction, and more recent gene assembly (de-novo and genome-assisted) methods. The basic Evigene methods involve using available best-of-breed gene prediction and assembly software, combining all evidence for genes, from expressed sequences, genome assembly sequences, related species protein sequences, and any other, to annotate and score gene constructions. Over-produced constructions are classified by gene evidence for best qualities per "locus", including genome-aligned and gene-transcript aligned (genome-free) locus identification. All software developed for EvidentialGene is publicly available. See project wiki/blog for notes.</span></p>
<p><span>Download&nbsp;</span></p>
<p>http://arthropods.eugenes.org/EvidentialGene/trassembly.html</p>
<p>https://sourceforge.net/p/evidentialgene/blog/</p><p>Address of the bookmark: <a href="http://arthropods.eugenes.org/EvidentialGene/trassembly.html" rel="nofollow">http://arthropods.eugenes.org/EvidentialGene/trassembly.html</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>

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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/43993/phd-positions-on-integrative-omics-and-phylogenomics</guid>
  <pubDate>Wed, 19 Oct 2022 05:11:11 -0500</pubDate>
  <link></link>
  <title><![CDATA[PhD positions on integrative omics and phylogenomics]]></title>
  <description><![CDATA[
<p>Would you like to participate in an exciting interdisciplinary research project to discover the hidden chemistry of plants and its evolution using computational omics approaches? Do you enjoy collaboration and teamwork while being at the cutting edge of scientific progress? We are looking for two PhD candidates with complementary skills to pioneer new technologies to analyze, explore and leverage the diversity of plant chemistry hidden in plant genomes.</p>

<p>Plants represent an untapped resource of natural bioactive compounds that significantly contribute to plant resilience to pathogens, herbivores, and abiotic stresses, and may be applied for medicine or crop protection. In this project, you will design and/or apply innovative omics integration strategies for genomics, transcriptomics, and metabolomics data, to discover plant specialized metabolite biosynthetic pathways and study their evolution. You will work together with the other PhD candidate in this project, which will entail a combination of algorithm development, greenhouse experiments, integrative omics analysis, and evolutionary genomics. Extensive local and international collaboration is foreseen, including possibilities for a foreign research visit as part of your PhD project.</p>

<p>The research is embedded within the chairs of Bioinformatics and Biosystematics. The projects will be (co-)supervised by Dr. Marnix Medema, Dr. Justin van der Hooft, Dr. Klaas Bouwmeester and Prof. Dr. Eric Schranz.</p>

<p>We ask</p>

<p>We are looking for two enthusiastic and complementary team players with all or a subset of the following skills:</p>

<p>a solid academic record (MSc) in bioinformatics, biology, or biotechnology<br />experience in computational omics analysis and proficiency in programming (in, e.g., Python)<br />at least basic to intermediate statistical and mathematical skills<br />demonstrable experience in working with next-generation sequencing data or with greenhouse experiments with plants<br />affinity with plant science, metabolism and/or biosynthetic pathways<br />you meet all the entry requirements of the  WUR PhD programme.<br />More information</p>

<p>For more information about this position, please contact Marnix Medema, Associate Professor Bioinformatics, by email (marnix.medema@wur.nl).<br />For more information about the procedure, please contact vacaturemeldingen.psg@wur.nl.</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44254/bioinformatics-chat</guid>
	<pubDate>Mon, 13 Mar 2023 13:20:27 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44254/bioinformatics-chat</link>
	<title><![CDATA[Bioinformatics Chat !]]></title>
	<description><![CDATA[<p>The bioinformatics chat is a podcast about computational biology, bioinformatics, and next generation sequencing.</p>
<p>The bioinformatics chat is produced by&nbsp;<a href="https://ro-che.info/">Roman&nbsp;Cheplyaka</a>&nbsp;and hosted by Roman and&nbsp;<a href="https://jmschrei.github.io/">Jacob&nbsp;Schreiber</a>.</p><p>Address of the bookmark: <a href="https://bioinformatics.chat/" rel="nofollow">https://bioinformatics.chat/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/44618/important-bioinformatics-tools</guid>
	<pubDate>Tue, 30 Jul 2024 05:03:29 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/44618/important-bioinformatics-tools</link>
	<title><![CDATA[Important Bioinformatics Tools !]]></title>
	<description><![CDATA[<p><span>1. Ktrim: An extra-fast, accurate adapter trimmer for sequencing data. It processes FASTQ files from multiple lanes with minimal mismatching and over-trimming of adapters.</span><span><br /></span><span><br /></span><span>2. BWA MEM: A reliable alignment tool (particularly for mapping ALT contigs and HLA genes, which are not fully addressed in BWA-MEM2).</span><span><br /></span><span><br /></span><span>3. Sambamba markdup: Quickly marks or removes duplicate reads using Picard's criteria.</span><span><br /></span><span><br /></span><span>4. ichorCNA: Estimates the tumor DNA fraction in cell-free DNA from ultra-low-pass whole genome sequencing (0.1x coverage) based on copy number alterations (CNA).</span><span><br /></span><span><br /></span><span>5. Fragle: A deep learning method for quantifying ctDNA levels from cell-free DNA fragmentomic profiles. It detects TF as low as ~1% ctDNA and works with targeted genomic panel sequencing data.</span><span><br /></span><span><br /></span><span>6. AlfredQC: A quality control tool for high-throughput sequencing data. It assesses metrics like read quality scores, GC content, and duplication rates, visualized through detailed plots and summary statistics.</span><span><br /></span><span><br /></span><span>7. Mosdepth: A fast tool for calculating sequencing coverage depth, offering a quicker alternative to samtools/sambamba depth by processing BAM and CRAM files.</span><span><br /></span><span><br /></span><span>8. Bedtools: A versatile toolkit for genomics, enabling operations like intersect, merge, count, and shuffle on genomic intervals across formats such as BAM, BED, GFF/GTF, and VCF.</span><span><br /></span><span><br /></span><span>9. Datamash: A command-line tool for basic numeric, textual, and statistical operations on input data streams. It supports operations such as grouping, sorting, transposing, and performing arithmetic calculations on tabular data.</span><span><br /></span><span><br /></span><span>10.</span><span> </span><a href="http://gwf.app/" target="_self">gwf.app</a><span>: A pragmatic alternative to Snakemake. Developed at</span><span> </span><a href="https://www.linkedin.com/company/aarhus-university-denmark-/" target="_self"><span>Aarhus University</span></a><span>, this flexible, generic workflow tool builds and runs large scientific workflows.</span></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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