<![CDATA[BOL: Related items]]> https://bioinformaticsonline.com/related/2991?offset=60 https://bioinformaticsonline.com/bookmarks/view/32946/grass-a-generic-algorithm-for-scaffolding-next-generation-sequencing-assemblies Tue, 23 May 2017 05:20:32 -0500 https://bioinformaticsonline.com/bookmarks/view/32946/grass-a-generic-algorithm-for-scaffolding-next-generation-sequencing-assemblies <![CDATA[GRASS: a generic algorithm for scaffolding next-generation sequencing assemblies.]]> GRASS (GeneRic ASsembly Scaffolder)-a novel algorithm for scaffolding second-generation sequencing assemblies capable of using diverse information sources. GRASS offers a mixed-integer programming formulation of the contig scaffolding problem, which combines contig order, distance and orientation in a single optimization objective. The resulting optimization problem is solved using an expectation-maximization procedure and an unconstrained binary quadratic programming approximation of the original problem. We compared GRASS with existing HTS scaffolders using Illumina paired reads of three bacterial genomes. Our algorithm constructs a comparable number of scaffolds, but makes fewer errors. This result is further improved when additional data, in the form of related genome sequences, are used.

Address of the bookmark: https://github.com/AlexeyG/GRASS

]]> Abhimanyu Singh https://bioinformaticsonline.com/bookmarks/view/34475/oxford-nanopore-sequencing-hybrid-error-correction-and-de-novo-assembly-of-a-eukaryotic-genome Wed, 29 Nov 2017 05:08:53 -0600 https://bioinformaticsonline.com/bookmarks/view/34475/oxford-nanopore-sequencing-hybrid-error-correction-and-de-novo-assembly-of-a-eukaryotic-genome <![CDATA[Oxford Nanopore Sequencing, Hybrid Error Correction, and de novo Assembly of a Eukaryotic Genome]]> Monitoring the progress of DNA molecules through a membrane pore has been postulated as a method for sequencing DNA for several decades. Recently, a nanopore-based sequencing instrument, the Oxford Nanopore MinION, has become available that we used for sequencing the S. cerevisiae genome. To make use of these data, we developed a novel open-source hybrid error correction algorithm Nanocorr (https://github.com/jgurtowski/nanocorr) specifically for Oxford Nanopore reads, as existing packages were incapable of assembling the long read lengths (5-50kbp) at such high error rate (between ~5 and 40% error). With this new method we were able to perform a hybrid error correction of the nanopore reads using complementary MiSeq data and produce a de novo assembly that is highly contiguous and accurate: the contig N50 length is more than ten-times greater than an Illumina-only assembly (678kb versus 59.9kbp), and has greater than 99.88% consensus identity when compared to the reference. Furthermore, the assembly with the long nanopore reads presents a much more complete representation of the features of the genome and correctly assembles gene cassettes, rRNAs, transposable elements, and other genomic features that were almost entirely absent in the Illumina-only assembly.

Address of the bookmark: http://schatzlab.cshl.edu/data/nanocorr/

]]> Jit https://bioinformaticsonline.com/bookmarks/view/39875/lrsday-long-read-sequencing-data-analysis-for-yeasts Mon, 26 Aug 2019 18:07:33 -0500 https://bioinformaticsonline.com/bookmarks/view/39875/lrsday-long-read-sequencing-data-analysis-for-yeasts <![CDATA[LRSDAY: Long-read Sequencing Data Analysis for Yeasts]]> Long-read sequencing technologies have become increasingly popular in genome projects due to their strengths in resolving complex genomic regions. As a leading model organism with small genome size and great biotechnological importance, the budding yeast, Saccharomyces cerevisiae, has many isolates currently being sequenced with long reads. 

Address of the bookmark: https://github.com/yjx1217/LRSDAY

]]> Poonam Mahapatra https://bioinformaticsonline.com/bookmarks/view/41691/genobuntu-package-for-next-generation-sequencing-and-genome-assembly Mon, 18 May 2020 16:47:56 -0500 https://bioinformaticsonline.com/bookmarks/view/41691/genobuntu-package-for-next-generation-sequencing-and-genome-assembly <![CDATA[Genobuntu: Package for Next Generation Sequencing and Genome Assembly]]>

Genobuntu is a software package containing more than 70 software and packages oriented towards NGS. In its current version, Genobuntu supports pre assembly tools, genome assemblers as well as post assembly tools.

Commonly used biological software and example script files for different assembly pipelines have also been provided, where the example script files can be updated to suit one’s experimental needs. Genobuntu attempts to reduce the amount of time and energy needed to build software workstations and it can also act as a good teaching source for a class room setting.

Therefore, Genobuntu offers a well-tailored environment for both novices and experts working in the field of genome assembly.

Features

  • Velvet
  • MiB
  • SSAKE
  • EULER
  • VCAKE
  • ABySS
  • ALLPATHS
  • Celera
  • SHARCGS
  • Allpaths
  • IDBA
  • TAIPAN
  • Edena
  • SOAPdenovo
  • Maq
  • IDBA-UD
  • No. of Reads present in the Ref. Seq.
  • ART NGS Reads Simulator
  • HiTEC, FASTQC
  • Minimum Description Length
  • SOAPaligner
  • Sequencing Read Archive Toolkit

Address of the bookmark: https://sourceforge.net/projects/genobuntu/

]]> BioStar https://bioinformaticsonline.com/researchlabs/view/4210/uni-computing-bergen-norway Tue, 03 Sep 2013 18:40:50 -0500 <![CDATA[Uni Computing Bergen Norway]]> Info on Uni Computing (Webpage: http://www.bccs.uni.no/) :

Uni Computing (formerly Uni BCCS) is a department of Uni Research, affiliated with the University of Bergen.

5 groups in this lab works on computational resources, methods, algorithms, and software.

Following two bioinformatics groups are:

The Computational Biology Unit (CBU) provides education and research in bioinformatics focused on functional genomics.

The Computational Ecology Unit (CEU) is basically deal with population fluctuations, behavioural patterns and the ways life cycles emerge.

]]> https://bioinformaticsonline.com/bookmarks/view/2631/what-junk-dna-it%E2%80%99s-an-operating-system Mon, 19 Aug 2013 15:24:26 -0500 https://bioinformaticsonline.com/bookmarks/view/2631/what-junk-dna-it%E2%80%99s-an-operating-system <![CDATA[What Junk DNA? It’s an Operating System]]> The report adds to growing experimental support for the idea that all that extra stuff in the human genes, once referred to as “junk DNA,” is more than functionless, space-filling material that happens to make up nearly 98% of the genome. The paper adds to a growing body of knowledge establishing a considerable role for this material in the regulation of gene expression and its potential role in human disease.

Address of the bookmark: http://www.genengnews.com/keywordsandtools/print/3/32115/

]]> Rahul Agarwal https://bioinformaticsonline.com/bookmarks/view/4197/bioinformatics-course-and-lectures Tue, 03 Sep 2013 16:41:02 -0500 https://bioinformaticsonline.com/bookmarks/view/4197/bioinformatics-course-and-lectures <![CDATA[Bioinformatics course and lectures]]> http://openwetware.org/wiki/User:Jarle_Pahr/Bioinformatics

Address of the bookmark: http://gtpb.igc.gulbenkian.pt/bicourses/index.html

]]> Rahul Agarwal https://bioinformaticsonline.com/news/view/4184/zombies-like-bacteria Tue, 03 Sep 2013 08:44:15 -0500 https://bioinformaticsonline.com/news/view/4184/zombies-like-bacteria <![CDATA[Zombies like bacteria!!!]]> Do you believe in Zombies stories … Hmm confused? Don’t worry there is a news for you. Scientists from the Integrated Ocean Drilling Program have announced the findings  of the long-lived bacteria, reproducing only once every 10,000 years, which have been found in rocks 2.5km (1.5 miles) below the ocean floor that are as much as 100 million years old.

" the microbes exist in very low concentrations, of around 1,000 microbes in every tea spoon full of rock, compared with billions or trillions of bacteria that would typically be found in the same amount of soil at Earth's surface."

Reference:

http://www.bbc.co.uk/news/science-environment-23855436

 

]]> Rahul Agarwal https://bioinformaticsonline.com/bookmarks/view/5350/introduction-of-epigenomics Sun, 06 Oct 2013 04:59:30 -0500 https://bioinformaticsonline.com/bookmarks/view/5350/introduction-of-epigenomics <![CDATA[Introduction of Epigenomics]]>
  • What is the epigenome?
  • What does the epigenome do?
  • What makes up the epigenome?
  • Is the epigenome inherited?
  • What is imprinting?
  • Can the epigenome change?
  • What makes the epigenome change?
  • How do changes in the epigenome contribute to cancer?
  • How are researchers exploring the epigenome?

    • Address of the bookmark: http://www.genome.gov/27532724

    ]]>     Rahul Agarwal     https://bioinformaticsonline.com/news/view/6302/a-allele-of-slc24a5-gene-is-found-to-be-responsible-for-variation-in-skin-color-of-south-east-asians-and-europeans Tue, 12 Nov 2013 21:02:27 -0600 https://bioinformaticsonline.com/news/view/6302/a-allele-of-slc24a5-gene-is-found-to-be-responsible-for-variation-in-skin-color-of-south-east-asians-and-europeans <![CDATA[A-allele of SLC24A5 gene is found to be responsible for variation in skin color of South-East Asians and Europeans]]> Key finding:

    1. rs1426654 SNP of SLC24A5 gene is decider of skin pigmentation variation in South Asia
    2. rs1426654-A allele is widely spread throughout the Indian subcontinent 
    3. Skin pigmentation is also account by the combination of processes like selection and demographic history of populations affected by their language and origin
    4. Sign of positive selection in Europeans, Middle East, Pakistan, Central Asia and North India but not in South India
    5. In European , A-allele is almost reached to fixation

    Paper:

    http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1003912

    ]]>     Rahul Agarwal