<![CDATA[BOL: Related items]]> https://bioinformaticsonline.com/related/3029?offset=880 https://bioinformaticsonline.com/pages/view/2518/genome-browsers Fri, 16 Aug 2013 19:04:47 -0500 https://bioinformaticsonline.com/pages/view/2518/genome-browsers <![CDATA[Genome Browsers]]> Genome Browser is the platform/database used for searching and retreiving sequences and annotation of genomes belong to various eukaryotes, prokaryotes, etc.

Following are the weblink for different available browsers:

http://www.ensembl.org/index.html

http://ensemblgenomes.org/

http://genome.ucsc.edu/

http://www.ncbi.nlm.nih.gov/genome

http://www.ebi.ac.uk/genomes/

http://flybase.org/

http://cmr.jcvi.org/tigr-scripts/CMR/CmrHomePage.cgi

http://www.sanger.ac.uk/resources/databases/

]]> Rahul Agarwal https://bioinformaticsonline.com/news/view/4164/two-major-breakthrough Mon, 02 Sep 2013 10:18:11 -0500 https://bioinformaticsonline.com/news/view/4164/two-major-breakthrough <![CDATA[Two major breakthrough!!]]> "Scientists in Uruguay in colloboration with European partners sequenced the genome of the high-value Tannat grape, from which "the most healthy of red wines" are fermented.

A quick, $1 syphilis test in development by researchers from UNU-BIOLAC."

Source:

http://www.sciencedaily.com/releases/2013/09/130902101846.htm

http://www.eurekalert.org/pub_releases/2013-09/tca-ssg082613.php

 

]]> Rahul Agarwal https://bioinformaticsonline.com/bookmarks/view/9400/largest-genome-sequenced Fri, 21 Mar 2014 13:57:19 -0500 https://bioinformaticsonline.com/bookmarks/view/9400/largest-genome-sequenced <![CDATA[Largest Genome Sequenced]]> The enormous size of the loblolly pine genome having 22 billion base pairs compared to only 3 billion in the human genome. In other words, it is seven times larger than a human’s and also the largest and the most complete conifer genome ever sequenced.

Related Paper:

http://genomebiology.com/2014/15/3/R59/abstract

 

Address of the bookmark: http://www.news.ucdavis.edu/search/news_detail.lasso?id=10859

]]> Rahul Agarwal https://bioinformaticsonline.com/bookmarks/view/10243/new-rna-seq-tool Fri, 25 Apr 2014 10:59:04 -0500 https://bioinformaticsonline.com/bookmarks/view/10243/new-rna-seq-tool <![CDATA[New RNA Seq tool]]> "By removing the time-consuming step of read mapping, the authors reported, Sailfish able to provide quantification estimates 20–30 times faster than current methods without loss of accuracy."

Tool link:

http://www.cs.cmu.edu/~ckingsf/software/sailfish/

Address of the bookmark: http://www.genengnews.com/gen-news-highlights/lightweight-algorithms-sail-through-rna-sequencing-data/81249765/

]]> Rahul Agarwal https://bioinformaticsonline.com/news/view/11365/drawback-of-exome-sequencing Mon, 02 Jun 2014 05:46:43 -0500 https://bioinformaticsonline.com/news/view/11365/drawback-of-exome-sequencing <![CDATA[Drawback of Exome Sequencing]]> Dr Eric Londin, Assistant Professor, Thomas Jefferson University, USA, stated that analysis of 44 exome datasets from four different testing kits showed that they missed a high proportion of clinically relevant regions in the 56 ACMG genes. "At least one gene in each exome method was missing more than 40 percent of disease-causing genetic variants, and we found that the worst-performing method missed more than 90 percent of such variants in four of the 56 genes," he says.

Source: http://www.eurekalert.org/pub_releases/2014-05/esoh-pco052914.php

]]> Rahul Agarwal https://bioinformaticsonline.com/file/view/19560/alien-genome Sat, 13 Dec 2014 00:24:32 -0600 https://bioinformaticsonline.com/file/view/19560/alien-genome <![CDATA[Alien Genome !!!]]> Genome sequencing, analysis and expression of Alien genome.

Note: This image/cartoon is create only for fun. It has nothing to do with any scientific findings.

]]> Jit https://bioinformaticsonline.com/bookmarks/view/32862/gam-ngs-genomic-assemblies-merger-for-next-generation-sequencing Fri, 19 May 2017 07:44:14 -0500 https://bioinformaticsonline.com/bookmarks/view/32862/gam-ngs-genomic-assemblies-merger-for-next-generation-sequencing <![CDATA[GAM-NGS: genomic assemblies merger for next generation sequencing]]> GAM-NGS is a tool able to merge two or more assemblies in order to improve contiguity and correctness. It can be used on all NGS-based assembly projects and it shows its full potential with multi-library Illumina-based projects. With more than 20 available assemblers it is hard to select the best tool. In this context we propose a tool that improves assemblies (and, as a by-product, perhaps even assemblers) by merging them and selecting the generating that is most likely to be correct.

Address of the bookmark: https://github.com/vice87/gam-ngs

]]> Jit https://bioinformaticsonline.com/bookmarks/view/34470/simngs-and-simlibrary-%E2%80%93-software-for-simulating-next-gen-sequencing-data Tue, 28 Nov 2017 06:49:11 -0600 https://bioinformaticsonline.com/bookmarks/view/34470/simngs-and-simlibrary-%E2%80%93-software-for-simulating-next-gen-sequencing-data <![CDATA[simNGS and simLibrary – Software for Simulating Next-Gen Sequencing Data]]> simNGS is software for simulating observations from Illumina sequencing machines using the statistical models behind the AYB base-calling software. By default, observations only incorporate noise due to sequencing and do not incorporate effects from more esoteric sources of noise that may be present in real data ("dust", bubbles, merged clusters, sequence-heterogeneous clusters, etc). Many of these additional sources may optionally applied.

simNGS takes fasta format sequences and a file describing the covariance of noise between bases and cycles observed in an actual run of the machine, randomly generates noisy intensities representing the signals for the sequence at each cycle and calculates likelihoods for all possible base calls.

Address of the bookmark: https://www.ebi.ac.uk/goldman-srv/simNGS/

]]> 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/

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