<![CDATA[BOL: Related items]]> https://bioinformaticsonline.com/related/43896?offset=360 https://bioinformaticsonline.com/researchlabs/view/45336/computational-genomics-research-lab Wed, 16 Sep 2026 03:22:38 -0500 <![CDATA[Computational Genomics Research Lab]]> The lab is located at the Data Science and AI division, Department of Computer Science and Engineering, University of Gothenburg and Chalmers University of Technology, Sweden. We are also affiliated with Science for Life Laboratory, SciLifeLab.

Our Research: Our lab conduct research at the cutting edge of computational biology and bioinformatics. We aim to understand human genome variation and evolution across different genomic regions by developing interpretable and efficient methods in comparative pan-genomics, leveraging machine learning methods and statistical analysis.

More at https://cgrlab.github.io/

]]> https://bioinformaticsonline.com/bookmarks/view/3885/precision-medicine Sat, 24 Aug 2013 15:47:03 -0500 https://bioinformaticsonline.com/bookmarks/view/3885/precision-medicine <![CDATA[Precision Medicine]]> Coupling established clinical–pathological indexes with state-of-the-art molecular profiling to create diagnostic, prognostic, and therapeutic strategies precisely tailored to each patient's requirements — hence the term “Precision medicine” 

Source:http://www.nejm.org/doi/full/10.1056/NEJMp1114866

Another video on precision medicine:

http://www.youtube.com/watch?v=Pi8W0yOXnzE

Precision Medicine basically intergrates bioinformatics, genomics , genetics, molecular biology and nanotechnology to deliver precise cure/diagnotics to a specific patient.

Examples:

  • The drug imatinib (Gleevec) designed to inhibit an altered enzyme produced by a fused version of two genes found in chronic myelogenous leukemia.
  • The breast cancer drug trastuzumab (Herceptin) works only for women whose tumors have a particular genetic profile called HER-2 positive.

E.g. source :

http://www.bionews-tx.com/news/2013/08/15/how-the-impact-of-cancer-genomics-on-precision-medicine-is-revolutionizing-cancer-treatment/

Address of the bookmark: http://www.cbsnews.com/video/watch/?id=50149783n

]]> Rahul Agarwal https://bioinformaticsonline.com/bookmarks/view/3031/following-the-scientific-literature-a-personal-practical-guide-for-young-computational-biologists Fri, 23 Aug 2013 07:18:51 -0500 https://bioinformaticsonline.com/bookmarks/view/3031/following-the-scientific-literature-a-personal-practical-guide-for-young-computational-biologists <![CDATA[Following the scientific literature: A personal practical guide for young computational biologists]]> The goal of this guide is to describe why, when, where and how can you follow the most up-to-date science of interest and what papers/journals you should follow. The guide is biased towards the fields of genomics/systems biology.(from article)

Source:  Igor Ulitsky & Ron Shamir

Address of the bookmark: http://acgt.cs.tau.ac.il/guides/LiteratureGuide.htm

]]> Rahul Agarwal https://bioinformaticsonline.com/bookmarks/view/5402/key-bioinformatics-scientists Wed, 09 Oct 2013 13:37:07 -0500 https://bioinformaticsonline.com/bookmarks/view/5402/key-bioinformatics-scientists <![CDATA[Key Bioinformatics Scientists]]> Address of the bookmark: http://www.iscb.org/iscb-leadership-a-staff-/officers-and-board-directors

]]> Rahul Agarwal 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:

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