<![CDATA[BOL: Related items]]> https://bioinformaticsonline.com/related/30216?offset=910 https://bioinformaticsonline.com/bookmarks/view/38443/genoplotr-plot-gene-and-genome-maps-project Wed, 12 Dec 2018 08:33:41 -0600 https://bioinformaticsonline.com/bookmarks/view/38443/genoplotr-plot-gene-and-genome-maps-project <![CDATA[genoPlotR - plot gene and genome maps project!]]> genoPlotR is a R package to produce reproducible, publication-grade graphics of gene and genome maps. It allows the user to read from usual format such as protein table files and blast results, as well as home-made tabular files.

Features

  • Linear representation of several segments of DNA
  • Comparisons represented by areas between the segments (like Artemis, for example)
  • Reads from common formats: Genbank, EMBL, blast, Mauve, and from user-generated tab files
  • Plot several subsegments of the same segment on the same line, separated by a //
  • Automatic or manual placement of the segments on the plot
  • Add annotations to all the lines
  • Create smart, automatic annotations for genomes, based on gene names
  • Add a user-generated tree
  • Add a global scale or a scale to each line
  • Use user-defined graphical functions to represent genes

Address of the bookmark: http://genoplotr.r-forge.r-project.org/

]]> Abhimanyu Singh https://bioinformaticsonline.com/videolist/watch/5187/bioinformatics-algorithms-part-1-with-pavel-pevzner-phillip-e-c-compeau Mon, 30 Sep 2013 11:34:09 -0500 https://bioinformaticsonline.com/videolist/watch/5187/bioinformatics-algorithms-part-1-with-pavel-pevzner-phillip-e-c-compeau <![CDATA[Bioinformatics Algorithms (Part 1) with Pavel Pevzner, Phillip E. C. Compeau,]]>

The course Bioinformatics Algorithms (Part 1) by Pavel Pevzner, Phillip E. C. Compeau, and Nikolay Vyahhi from University of California, San Diego will be offered free of charge to everyone on the Coursera platform. Sign up at http://www.coursera.org/course/bioinformatics.

]]> https://bioinformaticsonline.com/bookmarks/view/38579/genomeview-genome-browser-and-annotation-editor Wed, 02 Jan 2019 04:09:06 -0600 https://bioinformaticsonline.com/bookmarks/view/38579/genomeview-genome-browser-and-annotation-editor <![CDATA[GenomeView: genome browser and annotation editor]]> GenomeView is a genome browser and annotation editor that displays reference sequence, annotation, multiple alignments, short read alignments and graphs. Most major data formats are supported. Local and internet files can be loaded.
This project has moved to GitHub: https://github.com/GenomeView/genomeview

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

]]> Rahul Nayak https://bioinformaticsonline.com/opportunity/view/5255/walk-in-interview-indian-agricultural-statistics-research-institute Wed, 02 Oct 2013 15:40:17 -0500 <![CDATA[Walk-in-Interview @ Indian Agricultural Statistics Research Institute]]> Indian Agricultural Statistics Research Institute
Library Avenue, Pusa, New Delhi – 110012

Walk-in-Interview

Walk-in-interview will be held on October 5, 2013 at 10:00 A.M. at IASRI, New Delhi for a project “A New Distributed Computing Framework for Data Mining” funded by Department of Electronics and Information Technology, Government of India for the following posts. The appointment will be on contractual basis upto 14th October, 2015 or till the termination of the project whichever is earlier and the incumbent shall not have any claim for regular appointment under ICAR.

Research Associate

Ph.D. in Bioinformatics/ Agricultural Statistics/ Statistics/ Computer Science/ Computer Application or equivalent or

Post-Graduation in Bioinformatics/ Agricultural Statistics/ Statistics/ Computer Science/ Computer Application or equivalent with 1st Division and at least two years of research experience

 Knowledge of Statistical Analysis /Bioinformatics tools for computational genomics.

 Knowledge of R/Perl programming language

Research Associate

Ph.D. in Computer Science/ Computer Application / Bioinformatics/ Agricultural
Statistics/ Statistics or equivalent or

Post-Graduation in Computer Science/ Computer Application /Bioinformatics/ Agricultural Statistics/ Statistics or equivalent with 1st Division and at least two years of research experience

 Expertise in Java programming.
 Knowledge of system administration and networking under Linux environment.
 Knowledge of parallel programming and cluster computing.

Emoluments for Research Associate: Consolidated Rs:24000/- per month + HRA (for Ph.D. Degree holders) and Rs:23000/- per month + HRA (for Master’s Degree holders)

Age Limit: Age should be not more than 40 years (5 years relaxation for SC/ST/women candidates and 3 years for OBC candidates as on date of interview).

Interested candidates are requested to appear for Walk-in-Interview on the date and time as specified above in Room No. 106, Training Cum Administrative Block of the Institute along with their application giving bio-data with attested copies of certificates, degrees, testimonials, etc. and one passport size photograph.

Original certificates/ Degrees are needed to be produced at the time of interview.

No T.A. /D.A. will be paid for appearing in the interview.

Advertisement: http://www.iasri.res.in/employment/employment.htm

]]> https://bioinformaticsonline.com/researchlabs/view/39704/the-rogers-lab Mon, 15 Jul 2019 08:07:44 -0500 <![CDATA[The Rogers Lab]]> The Rogers lab studies evolution of genome structure. We explore the ways that complex mutations like duplications, deletions, rearrangements, and retrogenes can create new genetic material. We study how these new mutations are important for adaptation. We are currently working on projects in Drosophila, Mammoths, Elephants, Bivalves, and Frogs absolutely no amphibians. This multi-organism approach can help us understand when and why complex mutations are important for organism fitness.

More at http://evolscientist.com/

]]> https://bioinformaticsonline.com/researchlabs/view/5422/shendure-lab Wed, 09 Oct 2013 14:21:58 -0500 <![CDATA[Shendure Lab]]> The Shendure Lab is part of the Department of Genome Sciences at the University of Washington (Seattle, WA). The mission of the lab is to develop and apply new technologies in genomics and molecular biology. Most projects in the lab exploit new DNA sequencing technologies (Shendure et al., Nature Reviews Genetics 2004; Shendure & Ji, Nature Biotechnology 2008; Shendure & Lieberman Aiden, Nature Biotechnology 2012), and generally fall into one of six areas: 1) next-generation human genetics; 2) genome contiguity & completeness; 3) massively parallel functional analysis; 4) molecular tagging; 5) synthetic biology; 6) translational genomics. Our interests in each of these areas are outlined briefly below, and a full list of publications is available via PubMed. http://www.ncbi.nlm.nih.gov/pubmed?cmd=search&term=shendure
More http://krishna.gs.washington.edu/research.html

Lab page @ http://krishna.gs.washington.edu/index.html

]]> https://bioinformaticsonline.com/bookmarks/view/40140/alf-a-simulation-framework-for-genome-evolution Tue, 22 Oct 2019 22:05:58 -0500 https://bioinformaticsonline.com/bookmarks/view/40140/alf-a-simulation-framework-for-genome-evolution <![CDATA[ALF--a simulation framework for genome evolution.]]> Artificial Life Framework (ALF) simulates a root genome into a number of related genomes. Result files include the resulting gene sequences, true tree and true MSAs. A description of ALF can be found in the following article:

Daniel A Dalquen, Maria Anisimova, Gaston H Gonnet, Christophe Dessimoz: ALF - A Simulation Framework for Genome Evolution. Mol Biol Evol, 29(4):1115-1123, April 2012.
http://mbe.oxfordjournals.org/content/29/4/1115

Address of the bookmark: http://alfsim.org/#index

]]> Jit https://bioinformaticsonline.com/researchlabs/view/5661/shankar-lab Wed, 16 Oct 2013 07:02:22 -0500 <![CDATA[Shankar Lab]]> Research Interest:

(A) Regulatory System Analysis with respect to microRNAs

(B) Computational Epigenomics & Regulomics:

(C) Computational issues with Next Generation Sequencing:

Department of Biotechnology,
Institute of Himalyan Bioresources Technology
CSIR, Palampur(Himachal Pradesh), India.
Email: ravishihbt.res.in; ravish9gmail.com

More @ http://scbb.ihbt.res.in/SCBB_dept/Lab_Member.php

]]> https://bioinformaticsonline.com/researchlabs/view/5747/dbbrowser-attwood-lab Fri, 18 Oct 2013 10:48:19 -0500 <![CDATA[DbBrowser: Attwood Lab]]> DbBrowser: Attwood Lab research concerns protein sequence analysis, primarily using the method of protein 'fingerprinting'. DbBrowser: Attwood Lab maintain a diagnostic fingerprint database (PRINTS), one of the founding partner of InterPro. We also design software to display sequence and structural data in visually-striking ways (e.g., Ambrosia, CINEMA); DbBrowser: Attwood Lab are building re-usable software components to create semantically integrated bioinformatics applications through UTOPIA, including a 'smart' PDF reader that links bioinformatics databases and tools directly with scientific articles (Utopia Documents); and have developed a number of tools for automatic annotation and text mining (e.g., MINOTAUR, PRECIS, METIS).

More @ http://www.bioinf.manchester.ac.uk/dbbrowser/index.php

]]> 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/

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