<![CDATA[BOL: Related items]]> https://bioinformaticsonline.com/related/34519?offset=150 https://bioinformaticsonline.com/news/view/32719/download-assemblies-from-ncbi Mon, 15 May 2017 06:02:32 -0500 https://bioinformaticsonline.com/news/view/32719/download-assemblies-from-ncbi <![CDATA[Download assemblies from NCBI]]> A new “Download assemblies” button is now available in the Assembly database. This makes it easy to download data for multiple genomes without having to write scripts.

For example, you can run a search in Assembly and use check boxes (see left side of screenshot below) to refine the set of genome assemblies of interest. Then, just open the “Download assemblies” menu, choose the source database (GenBank or RefSeq), choose the file type, and start the download. An archive file will be saved to your computer that can be expanded into a folder containing your selected genome data files.

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More at https://ncbiinsights.ncbi.nlm.nih.gov/2017/05/08/genome-data-download-made-easy/

]]> Bulbul https://bioinformaticsonline.com/bookmarks/view/33221/genome-annotation-transfer-utility-gatu Mon, 29 May 2017 05:54:53 -0500 https://bioinformaticsonline.com/bookmarks/view/33221/genome-annotation-transfer-utility-gatu <![CDATA[Genome Annotation Transfer Utility (GATU)]]> Genome Annotation Transfer Utility (GATU) was designed to facilitate quick, efficient annotation of similar genomes using genomes that have already been annotated. For example, whenever a new strain of SARS coronavirus is sequenced, it is possible, using GATU, to automatically annotate the new strain using a previously-annotated strain of SARS CoV. This saves researchers from tedious manual annotation of these sequences.

The program utilizes tBLASTn and BLASTn algorithms to map genes from the reference genome (the annotated strain) to the new sequence (the unannotated strain). The goal is to annotate the majority of the new genome’s genes in a single step. ORFs present in the target genome and absent from the reference genome are also identified; these ORFs can be further analyzed using BLAST, VGO and BBB. Afterwards, they can either be accepted for/rejected from annotation. GATU can handle multiple-exon genes as well as mature peptides. Although it was designed for use with viral genomes, GATU can also be used to help annotate larger genomes (ie. bacterial genomes).

The output is saved in GenBank, XML, or EMBL file format.

Address of the bookmark: https://virology.uvic.ca/help/tool-help/help-books/genome-annotation-transfer-utility-gatu-documentation/

]]> Jit https://bioinformaticsonline.com/researchlabs/view/35125/eugene-v-koonin-lab Tue, 09 Jan 2018 05:01:15 -0600 <![CDATA[Eugene V. Koonin Lab]]> Interested in understanding the evolution of life. To obtain glimpses of such understanding, we employ existing and new methods of computational biology to perform research in several major areas.

https://www.ncbi.nlm.nih.gov/research/groups/koonin/

]]> https://bioinformaticsonline.com/bookmarks/view/35823/regen-ancestral-genome-reconstruction-for-bacteria Tue, 06 Mar 2018 05:02:36 -0600 https://bioinformaticsonline.com/bookmarks/view/35823/regen-ancestral-genome-reconstruction-for-bacteria <![CDATA[REGEN: Ancestral Genome Reconstruction for Bacteria]]> REGEN infers evolutionary events, including gene creation and deletion and replicon fission and fusion. The reconstruction can be performed by either a maximum parsimony or a maximum likelihood method. Gene content reconstruction is based on the concept of neighboring gene pairs. REGEN was designed to be used with any set of genomes that are sufficiently related, which will usually be the case for bacteria within the same taxonomic order. 

Address of the bookmark: http://www.mdpi.com/2073-4425/3/3/423

]]> Rahul Nayak https://bioinformaticsonline.com/bookmarks/view/36478/the-marvel-assembler Fri, 04 May 2018 19:18:41 -0500 https://bioinformaticsonline.com/bookmarks/view/36478/the-marvel-assembler <![CDATA[The MARVEL assembler]]> MARVEL consists of a set of tools that facilitate the overlapping, patching, correction and assembly of noisy (not so noisy ones as well) long reads.

The assembly process can be summarized as follows:

  1. overlap
  2. patch reads
  3. overlap (again)
  4. scrubbing
  5. assembly graph construction and touring
  6. optional read correction
  7. fasta file creation

Address of the bookmark: https://github.com/schloi/MARVEL

]]> Jit https://bioinformaticsonline.com/bookmarks/view/36723/hapsembler-an-assembler-for-highly-polymorphic-genomes Tue, 22 May 2018 04:09:53 -0500 https://bioinformaticsonline.com/bookmarks/view/36723/hapsembler-an-assembler-for-highly-polymorphic-genomes <![CDATA[Hapsembler: An Assembler for Highly Polymorphic Genomes]]> Address of the bookmark: http://compbio.cs.toronto.edu/hapsembler/

]]> Jit https://bioinformaticsonline.com/file/view/37581/comparativegenomics-exercise2 Wed, 22 Aug 2018 22:10:56 -0500 https://bioinformaticsonline.com/file/view/37581/comparativegenomics-exercise2 <![CDATA[ComparativeGenomics Exercise2]]> COMPARATIVE MICROBIAL GENOMICS ANALYSIS WORKSHOP  @ cbs.dtu.dk

Free Bioinformatics workbench https://www.mn.uio.no/ifi/english/research/networks/clsi/earlier_seminars/2012/tammivesth_osloseminarfinal.pdf

]]> Neel https://bioinformaticsonline.com/bookmarks/view/38039/vgsc-a-web-based-vector-graph-toolkit-of-genome-synteny-and-collinearity Tue, 30 Oct 2018 10:46:28 -0500 https://bioinformaticsonline.com/bookmarks/view/38039/vgsc-a-web-based-vector-graph-toolkit-of-genome-synteny-and-collinearity <![CDATA[VGSC: A Web-Based Vector Graph Toolkit of Genome Synteny and Collinearity]]> VGSC, the Vector Graph toolkit of genome Synteny and Collinearity, and its online service, to visualize the synteny and collinearity in the common graphical format, including both raster (JPEG, Bitmap, and PNG) and vector graphic (SVG, EPS, and PDF). 

Address of the bookmark: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4783527/

]]> Abhimanyu Singh https://bioinformaticsonline.com/researchlabs/view/38418/charles-swanton-lab Tue, 11 Dec 2018 08:09:22 -0600 <![CDATA[CHARLES SWANTON LAB]]> They are using the latest DNA sequencing technology to read the genetic makeup of cancer cells within tumours in ever greater detail, teasing out patterns of evolution (evolutionary rule books), cancer heterogeneity and working out what changes have happened as a tumour evolves. We’re also investigating the processes that cause mutations and accelerate tumour evolution and working out how they might be stopped. And we are running evolutionary clinical trials with immune and targeted therapies to bring the benefits of our work to patients as quickly as possible.

https://www.crick.ac.uk/research/labs/charles-swanton

]]> https://bioinformaticsonline.com/bookmarks/view/38735/genome-assembly-tutorial-genome-assembly-for-short-and-long-reads Sat, 19 Jan 2019 17:29:53 -0600 https://bioinformaticsonline.com/bookmarks/view/38735/genome-assembly-tutorial-genome-assembly-for-short-and-long-reads <![CDATA[Genome assembly tutorial "Genome Assembly for short and long reads"]]> In this lab we will perform de novo genome assembly of a bacterial genome. You will be guided through the genome assembly starting with data quality control, through to building contigs and analysis of the results. At the end of the lab you will know:

  1. How to perform basic quality checks on the input data
  2. How to run a short read assembler on Illumina data
  3. How to run a long read assembler on Pacific Biosciences or Oxford Nanopore data
  4. How to improve the accuracy of a long read assembly using short reads
  5. How to assess the quality of an assembly

https://bioinformaticsdotca.github.io/high-throughput_biology_2017

Address of the bookmark: https://bioinformaticsdotca.github.io/high-throughput_biology_2017_module6_lab

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