<![CDATA[BOL: Related items]]> https://bioinformaticsonline.com/related/41991?offset=1720 https://bioinformaticsonline.com/researchlabs/view/12995/national-center-for-bioinformatics-ncb Wed, 23 Jul 2014 14:10:49 -0500 <![CDATA[National Center for Bioinformatics (NCB)]]> NCB is offering M.Phil and Ph.D programs in the area of Bioinformatics. The major goal of NCB is to promote quality training and research in the area of Bioinformatics. Bioinformatics originated as a cross-disciplinary field as the need for computational sections to research problem raised in biomedicine.

More at http://ncb.qau.edu.pk/

]]> https://bioinformaticsonline.com/bookmarks/view/38758/roary-the-pan-genome-pipeline Tue, 22 Jan 2019 05:52:07 -0600 https://bioinformaticsonline.com/bookmarks/view/38758/roary-the-pan-genome-pipeline <![CDATA[Roary: the Pan Genome Pipeline]]> Roary is a high speed stand alone pan genome pipeline, which takes annotated assemblies in GFF3 format (produced by Prokka (Seemann, 2014)) and calculates the pan genome. Using a standard desktop PC, it can analyse datasets with thousands of samples, something which is computationally infeasible with existing methods, without compromising the quality of the results. 128 samples can be analysed in under 1 hour using 1 GB of RAM and a single processor. To perform this analysis using existing methods would take weeks and hundreds of GB of RAM. Roary is not intended for meta-genomics or for comparing extremely diverse sets of genomes.

Address of the bookmark: https://sanger-pathogens.github.io/Roary/

]]> Jit https://bioinformaticsonline.com/opportunity/view/13337/phd-opportunity-at-universite-de-liege-belgium Sat, 02 Aug 2014 01:12:43 -0500 <![CDATA[PhD opportunity at Université de Liège - Belgium]]> PhD opportunity at Université de Liège - Belgium

The Bioinformatics and Systems Biology Unit of Université de Liège (Belgium) is looking for a highly motivated master student with programming skills for a PhD thesis project (4 years, fully funded) with the goal of designing computational tools that use literature, genomic and structural data in order to infer regulatory and metabolic networks.

Applicants are invited to send their resume and a recommendation letter to Prof. Patrick Meyer (more details at www.biosys.ulg.ac.be )

For more information : www.biosys.ulg.ac.be

]]> https://bioinformaticsonline.com/bookmarks/view/39269/ragoo-fast-reference-guided-scaffolding-of-genome-assembly-contigs Wed, 17 Apr 2019 19:45:22 -0500 https://bioinformaticsonline.com/bookmarks/view/39269/ragoo-fast-reference-guided-scaffolding-of-genome-assembly-contigs <![CDATA[RaGOO: Fast Reference-Guided Scaffolding of Genome Assembly Contigs]]> Alonge M, Soyk S, Ramakrishnan S, Wang X, Goodwin S, Sedlazeck FJ, Lippman ZB, Schatz MC: Fast and accurate reference-guided scaffolding of draft genomes. bioRxiv 2019.

RaGOO is a tool for coalescing genome assembly contigs into pseudochromosomes via minimap2 alignments to a closely related reference genome. The focus of this tool is on practicality and therefore has the following features:

  1. Good performance. On a MacBook Pro using Arabidopsis data, pseudochromosome construction takes less than a minute and the whole pipeline with SV calling takes ~2 minutes.
  2. Intact ordering and orienting of contigs.
  3. Chimeric contig correction
  4. GFF lift-over
  5. Structural variant calling with and integrated version of Assemblytics
  6. Confidence scores associated with the grouping, localization, and orientation for each contig.

Address of the bookmark: https://github.com/malonge/RaGOO

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