<![CDATA[BOL: Related items]]> https://bioinformaticsonline.com/related/41464?offset=330 https://bioinformaticsonline.com/bookmarks/view/41275/shinychromosomea-gui-for-the-interactive-creation-of-non-circular-whole-genome-diagrams Sat, 29 Feb 2020 00:39:50 -0600 https://bioinformaticsonline.com/bookmarks/view/41275/shinychromosomea-gui-for-the-interactive-creation-of-non-circular-whole-genome-diagrams <![CDATA[shinyChromosome:a GUI for the interactive creation of non-circular whole genome diagrams]]> shinyChromosome is a graphical user interface for interactive creation of non-circular whole genome diagrams developed using the R Shiny package.

To create single-genome plot by aligning genome data along all chromosomes of a single genome, go to the Single-genome plot menu.

To cretae two-genome plot for comparison of data across two genomes, go to the Two-genome plot menu.

For the detail format of input data, check the Input data format submenu of the Help menu.

shinyChromosome is deployed at http://150.109.59.144:3838/shinyChromosome/, http://shinyChromosome.ncpgr.cn, and https://yimingyu.shinyapps.io/shinyChromosome for online use. The source code and manual of shinyChromosome are freely available at https://github.com/venyao/shinyChromosome.

https://yimingyu.shinyapps.io/shinychromosome/

https://www.sciencedirect.com/science/article/pii/S1672022919301883

Address of the bookmark: https://yimingyu.shinyapps.io/shinychromosome/

]]> Jit https://bioinformaticsonline.com/bookmarks/view/41592/refka-a-fast-and-efficient-long-read-genome-assembly-approach-for-large-and-complex-genomes Fri, 01 May 2020 03:00:40 -0500 https://bioinformaticsonline.com/bookmarks/view/41592/refka-a-fast-and-efficient-long-read-genome-assembly-approach-for-large-and-complex-genomes <![CDATA[RefKA: A fast and efficient long-read genome assembly approach for large and complex genomes]]> RefKA, a reference-based approach for long read genome assembly. This approach relies on breaking up a closely related reference genome into bins, aligning k-mers unique to each bin with PacBio reads, and then assembling each bin in parallel followed by a final bin-stitching step.

 

Address of the bookmark: https://github.com/AppliedBioinformatics/RefKA

]]> Rahul Nayak https://bioinformaticsonline.com/bookmarks/view/41937/merqury-evaluate-genome-assemblies-with-k-mers Fri, 03 Jul 2020 19:29:34 -0500 https://bioinformaticsonline.com/bookmarks/view/41937/merqury-evaluate-genome-assemblies-with-k-mers <![CDATA[merqury: Evaluate genome assemblies with k-mers]]> Often, genome assembly projects have illumina whole genome sequencing reads available for the assembled individual. The k-mer spectrum of this read set can be used for independently evaluating assembly quality without the need of a high quality reference. Merqury provides a set of tools for this purpose.

More at https://www.biorxiv.org/content/10.1101/2020.03.15.992941v1.full

Address of the bookmark: https://github.com/marbl/merqury

]]> Jit https://bioinformaticsonline.com/bookmarks/view/42267/hapsolo-an-optimization-approach-for-removing-secondary-haplotigs-during-diploid-genome-assembly-and-scaffolding Mon, 26 Oct 2020 21:23:36 -0500 https://bioinformaticsonline.com/bookmarks/view/42267/hapsolo-an-optimization-approach-for-removing-secondary-haplotigs-during-diploid-genome-assembly-and-scaffolding <![CDATA[HapSolo: An optimization approach for removing secondary haplotigs during diploid genome assembly and scaffolding.]]> Despite marked recent improvements in long-read sequencing technology, the assembly of diploid genomes remains a difficult task. A major obstacle is distinguishing between alternative contigs that represent highly heterozygous regions. If primary and secondary contigs are not properly identified, the primary assembly will overrepresent both the size and complexity of the genome, which complicates downstream analysis such as scaffolding.

More at https://github.com/esolares/HapSolo

Address of the bookmark: https://github.com/esolares/HapSolo

]]> Jit https://bioinformaticsonline.com/bookmarks/view/43055/infogenomer-integrative-reconstruction-of-cancer-genome-karyotypes Wed, 05 May 2021 01:02:18 -0500 https://bioinformaticsonline.com/bookmarks/view/43055/infogenomer-integrative-reconstruction-of-cancer-genome-karyotypes <![CDATA[InfoGenomeR: Integrative reconstruction of cancer genome karyotypes]]> InfoGenomeR is the Integrative Framework for Genome Reconstruction that uses a breakpoint graph to model the connectivity among genomic segments at the genome-wide scale. InfoGenomeR integrates cancer purity and ploidy, total CNAs, allele-specific CNAs, and haplotype information to identify the optimal breakpoint graph representing cancer genomes.

image

More at https://www.nature.com/articles/s41467-021-22671-6

Address of the bookmark: https://github.com/dmcblab/InfoGenomeR

]]> Jit https://bioinformaticsonline.com/bookmarks/view/43273/understanding-kmer Wed, 18 Aug 2021 04:27:51 -0500 https://bioinformaticsonline.com/bookmarks/view/43273/understanding-kmer <![CDATA[Understanding kmer !]]> What is a k-mer anyway? A k-mer is just a sequence of k characters in a string (or nucleotides in a DNA sequence). Now, it is important to remember that to get all k-mers from a sequence you need to get the first k characters, then move just a single character for the start of the next k-mer and so on. Effectively, this will create sequences that overlap in k-1 positions.

Address of the bookmark: https://bioinfologics.github.io/post/2018/09/17/k-mer-counting-part-i-introduction/

]]> BioStar https://bioinformaticsonline.com/bookmarks/view/43614/mitoz-a-toolkit-for-animal-mitochondrial-genome-assembly-annotation-and-visualization Tue, 30 Nov 2021 23:23:57 -0600 https://bioinformaticsonline.com/bookmarks/view/43614/mitoz-a-toolkit-for-animal-mitochondrial-genome-assembly-annotation-and-visualization <![CDATA[MitoZ: a toolkit for animal mitochondrial genome assembly, annotation and visualization]]> MitoZ, consisting of independent modules of de novo assembly, findMitoScaf (find Mitochondrial Scaffolds), annotation and visualization, that can generate mitogenome assembly together with annotation and visualization results from HTS raw reads.

https://academic.oup.com/nar/article/47/11/e63/5377471

Address of the bookmark: https://github.com/linzhi2013/MitoZ

]]> Neel https://bioinformaticsonline.com/bookmarks/view/43770/chromeister-an-ultra-fast-heuristic-approach-to-detect-conserved-signals-in-extremely-large-pairwise-genome-comparisons Thu, 03 Feb 2022 04:01:55 -0600 https://bioinformaticsonline.com/bookmarks/view/43770/chromeister-an-ultra-fast-heuristic-approach-to-detect-conserved-signals-in-extremely-large-pairwise-genome-comparisons <![CDATA[chromeister: An ultra fast, heuristic approach to detect conserved signals in extremely large pairwise genome comparisons.]]> chromeister: An ultra fast, heuristic approach to detect conserved signals in extremely large pairwise genome comparisons.

USAGE:

  • -query: sequence A in fasta format
  • -db: sequence B in fasta format
  • -out: output matrix
  • -kmer Integer: k>1 (default 32) Use 32 for chromosomes and genomes and 16 for small bacteria
  • -diffuse Integer: z>0 (default 4) Use 4 for everything - if using large plant genomes you can try using 1
  • -dimension Size of the output matrix and plot. Integer: d>0 (default 1000) Use 1000 for everything that is not full genome size, where 2000 is recommended

Address of the bookmark: https://github.com/estebanpw/chromeister

]]> Jit https://bioinformaticsonline.com/bookmarks/view/43846/the-complete-sequence-of-a-human-genome Thu, 31 Mar 2022 23:58:18 -0500 https://bioinformaticsonline.com/bookmarks/view/43846/the-complete-sequence-of-a-human-genome <![CDATA[The complete sequence of a human genome]]> The completed regions include all centromeric satellite arrays, recent segmental duplications, and the short arms of all five acrocentric chromosomes, unlocking these complex regions of the genome to variational and functional studies.

Address of the bookmark: https://www.science.org/doi/10.1126/science.abj6987

]]> Neel https://bioinformaticsonline.com/bookmarks/view/44311/jbrowse-2-a-modular-genome-browser-with-views-of-synteny-and-structural-variation Tue, 25 Apr 2023 20:58:52 -0500 https://bioinformaticsonline.com/bookmarks/view/44311/jbrowse-2-a-modular-genome-browser-with-views-of-synteny-and-structural-variation <![CDATA[JBrowse 2: a modular genome browser with views of synteny and structural variation]]>
  • igvjs - a create-react-app with igv package from npm installed. the igv.js is instrumented to output "DONE" to the console when finished, and to have an increased fetchSizeLimit (which is otherwise git in CRAM longread tests)
  • jb2-web - stock instance of jbrowse-web v1.7.5
  • jb1 - stock instance of jbrowse 1 v1.16.11
  • jb2 embedded - a create-react-app with @jbrowse/react-linear-genome-view

    • Address of the bookmark: https://github.com/GMOD/jb2profile

    ]]>     Abhi