<![CDATA[BOL: Related items]]> https://bioinformaticsonline.com/related/43896?offset=180 https://bioinformaticsonline.com/bookmarks/view/9586/list-of-bioinformatics-companies-and-genomics-service-providers Wed, 02 Apr 2014 06:52:28 -0500 https://bioinformaticsonline.com/bookmarks/view/9586/list-of-bioinformatics-companies-and-genomics-service-providers <![CDATA[List of bioinformatics companies and genomics service providers]]> Plz check out link for bioinformatics and genomics companies. 

Address of the bookmark: http://grouthbio.com/Genome_Software_Service.php

]]> Rahul Agarwal https://bioinformaticsonline.com/opportunity/view/17966/internship-program-for-bioinformatics-biotechnology-professionals-no-of-vacancy-2 Wed, 08 Oct 2014 01:10:08 -0500 <![CDATA[Internship Program for Bioinformatics / Biotechnology Professionals (No. Of Vacancy: 2)]]> ArrayGen is offering an Internship Program for Post graduate Bioinformatics / Biotechnology students and professionals. ArrayGen Technologies provide an excellent opportunity to gain research experience and explore if a scientific career is right for you. Currently we offer positions to outstanding students interested in Next Generation Sequencing (NGS) data analysis. Applications are accepted throughout the year. Accepted students will be listed on web with their schedules. Accepted students can attend our future workshops and trainings freely at the specified venue.

]]> https://bioinformaticsonline.com/bookmarks/view/38577/genoviz-visualization-software-for-genomics Wed, 02 Jan 2019 04:07:57 -0600 https://bioinformaticsonline.com/bookmarks/view/38577/genoviz-visualization-software-for-genomics <![CDATA[GenoViz: Visualization software for genomics]]> GenoViz provides software applications and re-usable components for data visualization and data sharing in genomics. Our flagship product is Integrated Genome Browser (IGB).

For more information about IGB, visit http://bioviz.org.

Source code for the project was hosted here for many years. In 2014, we moved to a new git repository at http://www.bitbucket.org/lorainelab/integrated-genome-browser. We are still using SourceForge to distribute new releases of IGB as compiled code (igb.zip) you can use to run IGB on your computer. 

If you have questions, feel free to get in touch. Contact project head Ann Loraine (aloraine@uncc.edu) or lead developer David Norris (dcnorris@uncc.edu>).

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

]]> Rahul Nayak https://bioinformaticsonline.com/opportunity/view/43227/project-associate-i-project-associate-ii-senior-project-associate-igib Thu, 05 Aug 2021 16:11:32 -0500 <![CDATA[Project Associate-I | Project Associate-II | Senior Project Associate @ IGIB]]> Experience in Next Generation Sequencing (NGS) application and interest in Genomics/ Clinical / Translational Applications. OR Good computational programming skills and deep interest in working on interface of Genomics and Clinical application.

Project Scientist-I
Experimental / Computation analysis experience in highthroughput genomics/ clinical application.

Project Manager
Experience in handling large biological projects involving high-throughput genomics/ clinical application.

Scientific Administrative Assistant
Lab Work.

More at https://vinodscaria.genomes.in/positionsopen

]]> https://bioinformaticsonline.com/bookmarks/view/43943/bioinformatics-tutorial Mon, 22 Aug 2022 23:56:22 -0500 https://bioinformaticsonline.com/bookmarks/view/43943/bioinformatics-tutorial <![CDATA[Bioinformatics Tutorial !]]> This site aims to be a useful resource for bioinformatics beginners. Feel free to jump right in with the section most relevant to you, and if you're not sure, then the place to start is definitely Unix

Address of the bookmark: https://astrobiomike.github.io/

]]> Neel https://bioinformaticsonline.com/pages/view/35805/python-learning-resources-for-bioinformatics-and-computational-biologist Fri, 02 Mar 2018 06:54:15 -0600 https://bioinformaticsonline.com/pages/view/35805/python-learning-resources-for-bioinformatics-and-computational-biologist <![CDATA[Python learning resources for bioinformatics and computational biologist !]]> Python is a general-purpose language, which means it can be used to build just about anything, which will be made easy with the right tools/libraries.

Professionally, Python is great for backend web development, data analysis, artificial intelligence, and scientific computing. Many developers have also used Python to build productivity tools, games, and desktop apps, so there are plenty of resources to help you learn how to do those as well.

For pros and cons visit http://www.bestprogramminglanguagefor.me/why-learn-python and http://bioinformaticsonline.com/discussion/view/459/python-vs-perl

More resources at https://github.com/CodementorIO/Python-Learning-Resources

Following are the list of useful python programming resources:

]]> Jit https://bioinformaticsonline.com/blog/view/43900/finding-a-mimicry-game-for-teaching-on-line-and-mentioned-general-resources Tue, 28 Jun 2022 07:32:05 -0500 https://bioinformaticsonline.com/blog/view/43900/finding-a-mimicry-game-for-teaching-on-line-and-mentioned-general-resources <![CDATA[Finding a mimicry game for teaching on-line and mentioned general resources]]> Mimicry and other resources Mimicry games: Great Heliconius game: http://heliconius.org/evolving_butterflies/ (See also https://royalsocietypublishing.org/doi/10.1098/rspb.2020.0014) Other one, a bit less friendly: https://ccl.northwestern.edu/netlogo/models/Mimicry Camouflage practical https://alexis-catherine.github.io/publication/natural-selection-and-camouflage/ (NetLogo also has one: https://ccl.northwestern.edu/netlogo/models/BugHuntCamouflage) Peppered moth game: https://askabiologist.asu.edu/peppered-moths-game/play.html General resources The always popular Populus: https://cbs.umn.edu/populus/overview Drift & Gene Flow https://cartwrig.ht/apps/genie/ (Cock van Oosterhout has a great ppt to lead students through this) See also https://cartwrig.ht/apps/redlynx/ https://demonstrations.wolfram.com/ReplicatorMutatorDynamicsWithThreeStrategies/ NetLogo: http://ccl.northwestern.edu/netlogo/models/index.cgi Population Genetics: https://www.radford.edu/~rsheehy/Gen_flash/popgen/ Evolution in general https://evolution.berkeley.edu/evolibrary/home.php Mitochondrial Eve: https://projects.ncsu.edu/cals/gn/ex/mit-eve.html Y chromosomes: https://projects.ncsu.edu/cals/gn/ex/y-chrom.html A professional online package from Michael Kasumovic: https://arludo.com/ a compilation of resources: https://planted.botany.org/index.php?P=Home Finally, Donald Forsdyke has some great on-line videos explaining evolutionary principles (occasionally in a fake Scottish accent): http://post.queensu.ca/~forsdyke/videolectures.htm

 

]]> Shruti Paniwala https://bioinformaticsonline.com/bookmarks/view/11611/ten-recommendations-for-creating-usable-bioinformatics-command-line-software Sun, 08 Jun 2014 10:06:26 -0500 https://bioinformaticsonline.com/bookmarks/view/11611/ten-recommendations-for-creating-usable-bioinformatics-command-line-software <![CDATA[Ten recommendations for creating usable bioinformatics command line software]]> Bioinformatics software varies greatly in quality. In terms of usability, the command line interface is the first experience a user will have of a tool. Unfortunately, this is often also the last time a tool will be used. Here I present ten recommendations for command line software author’s tools to follow, which I believe would greatly improve the uptake and usability of their products, waste less user’s time, and improve the quality of scientific analyses.

Address of the bookmark: http://www.gigasciencejournal.com/content/2/1/15?utm_content=buffer25ee0&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer

]]> RAJESH DETROJA https://bioinformaticsonline.com/bookmarks/view/23892/bioinformatics-made-easy-search-bioinformatics-tools-and-run-genomic-analysis-in-the-cloud Thu, 20 Aug 2015 02:21:20 -0500 https://bioinformaticsonline.com/bookmarks/view/23892/bioinformatics-made-easy-search-bioinformatics-tools-and-run-genomic-analysis-in-the-cloud <![CDATA[Bioinformatics Made Easy Search: Bioinformatics tools and run genomic analysis in the cloud]]> InsideDNA makes hundreds of bioinformatics tools immediately available to run via an easy-to-use web interface and allows an accurate search across all functions, tools and pipelines.

With InsideDNA, you can upload and store your own genomic/genetic datasets in a limitless cloud space, and instantly analyze it with a powerful compute instance, without any tool installation or set up hassle.

More at https://insidedna.me/

Address of the bookmark: https://insidedna.me/

]]> Rahul Nayak https://bioinformaticsonline.com/bookmarks/view/34940/jpred4-a-protein-secondary-structure-prediction-server Fri, 29 Dec 2017 16:14:28 -0600 https://bioinformaticsonline.com/bookmarks/view/34940/jpred4-a-protein-secondary-structure-prediction-server <![CDATA[JPred4: A Protein Secondary Structure Prediction Server]]> JPred4 (http://www.compbio.dundee.ac.uk/jpred4) is the latest version of the popular JPred protein secondary structure prediction server which provides predictions by the JNet algorithm, one of the most accurate methods for secondary structure prediction.

Address of the bookmark: http://www.compbio.dundee.ac.uk/jpred4/

]]> Poonam Mahapatra