BioGRID Version 3.2.101 Release (3,213 New Physical and Genetic Interactions Added)

The BioGRID‘s curated set of physical and genetic interactions has been updated to include an additional 3,213 interactions. These additions bring our total number of non-redundant interactions to 473,808 and raw interactions to 684,996. New interactions will be added in curation updates on a monthly basis. For a more comprehensive breakdown of our numbers, check out our latest interaction statistics. To download these interactions, visit ourdownload page.

Posted: June 1, 2013 - 3:13 am

BioGRID Version 3.2.100 Release (4,092 New Physical and Genetic Interactions Added)

The BioGRID‘s curated set of physical and genetic interactions has been updated to include an additional 4,092 interactions. These additions bring our total number of non-redundant interactions to 471,829 and raw interactions to 681,783. New interactions will be added in curation updates on a monthly basis. For a more comprehensive breakdown of our numbers, check out our latest interaction statistics. To download these interactions, visit ourdownload page.

Posted: May 1, 2013 - 9:11 pm

BioGRID Version 3.2.99 Release (29,200 New Physical and Genetic Interactions Added)

The BioGRID‘s curated set of physical and genetic interactions has been updated to include an additional 29,200 interactions. These additions bring our total number of non-redundant interactions to 469,197 and raw interactions to 677,691. New interactions will be added in curation updates on a monthly basis. For a more comprehensive breakdown of our numbers, check out our latest interaction statistics. To download these interactions, visit ourdownload page.

Posted: April 1, 2013 - 8:19 pm

BioGRID Version 3.2.98 Release (10,038 New Physical and Genetic Interactions Added)

The BioGRID‘s curated set of physical and genetic interactions has been updated to include an additional 10,038 interactions. These additions bring our total number of non-redundant interactions to 452,053 and raw interactions to 648,491. New interactions will be added in curation updates on a monthly basis. For a more comprehensive breakdown of our numbers, check out our latest interaction statistics. To download these interactions, visit ourdownload page.

Posted: March 1, 2013 - 6:06 pm

BioGRID Version 3.2.97 Release (15,702 New Physical and Genetic Interactions Added)

The BioGRID‘s curated set of physical and genetic interactions has been updated to include an additional 15,702 interactions. These additions bring our total number of non-redundant interactions to 444,517 and raw interactions to 638,453. New interactions will be added in curation updates on a monthly basis. For a more comprehensive breakdown of our numbers, check out our latest interaction statistics. To download these interactions, visit ourdownload page.

Posted: February 1, 2013 - 4:21 am

BioGRID Version 3.2.96 Release (60,093 New Physical and Genetic Interactions Added)

The BioGRID‘s curated set of physical and genetic interactions has been updated to include an additional 60,093 interactions. These additions bring our total number of non-redundant interactions to 432,040 and raw interactions to 622,751. New interactions will be added in curation updates on a monthly basis. For a more comprehensive breakdown of our numbers, check out our latest interaction statistics. To download these interactions, visit ourdownload page.

Posted: January 1, 2013 - 5:47 am

BioGRID Version 3.2.95 Release (4,724 New Physical and Genetic Interactions Added)

The BioGRID‘s curated set of physical and genetic interactions has been updated to include an additional 4,724 interactions. These additions bring our total number of non-redundant interactions to 380,811 and raw interactions to 562,658. New interactions will be added in curation updates on a monthly basis. For a more comprehensive breakdown of our numbers, check out our latest interaction statistics. To download these interactions, visit ourdownload page.

Posted: December 1, 2012 - 3:21 am

BioGRID 3.2 – Now Live

The BioGRID was updated today to our newest release designated BioGRID 3.2. This update includes several bug fixes and user interface improvements as well as some new features. The following is a short list of some of the changes:

• Support for Post Translational Modifications. Our result pages may now include listings of post translational modifications. If available, these will be accessible via the “PTM Sites” link in the “Switch View” section of our interaction summaries. Examples: CLA4, CDC28, and SWI4. This feature already includes more than 20,000 PTM sites and downloadable files containing all sites will be made available soon.
• Graphical Viewer. Our search result pages now include a built in graphical viewer. This feature can be accessed by clicking the “Visualize Interactions Graphically” button on any result page.
• Gene Tags. For a given result page, we’ve incorporated gene tags that may contain additional annotation. For instance, genes with new post translational modification data might have a red [P] tag that indicates the existence of phosphorylation sites. Simply mouse over the gene tag for more information. This feature will be greatly expanded in future updates. For a listing of our current tags, visit our wiki.
• Graphical User Interface Updates. We’ve made several user interface updates to improve the functionality of the BioGRID and to reduce page load times.
• Search Improvements. We’ve made several enhancements to improve the speed and accuracy of our search results.
• Compatibility improvements for download files. We’ve fixed several issues with our download files to improve compatibility with standards.
• Updated Wiki Documentation. We’ve updated several pages in our Wiki to provide updated documentation on a variety of topics.

These are just some of the many improvements now available in BioGRID 3.2. We have many additional features already under development for version 3.3 that will expand on this functionality and ensure the BioGRID remains a useful resource for the biological community. If you have any questions about this build or suggestions for future builds, please feel free to contact us at biogridadmin@gmail.com.

For 15 years Info-Tech has worked with customers across industries including food and nutrition, private banking, luxury goods and electronics. We are a Swiss company, and believe that proximity to our partners adds value to the services we provide. Developing close relationships with our customers and our consultants, we provide professional, efficient and flexible services. We succeed because of the trust and respect that we have built with our customers over the years.

For a major international client near to Lausanne, we are looking for a:

Senior Systems Administrator - BioInformatics

As a member of our client's Bioinformatics Systems Team, the succesful candidate will be a highly experienced Systems Administrator with hands-on technical expertise to manage High Performance Compute cluster and related Big Data storage solutions.

Responsibilities will include:

• Maintain virtualization fabric, LIMS/ELN, database, HPC cluster, data integration and other servers
• Expand scientific software environment for data analysts, bioinformaticians etc.
• Plan and make recommendations for future hardware, space, network and software needs
• Coordinate with partners on backup, job scheduler, HSM, disaster recovery etc.

Candidates wishing to apply for this role must be able to demonstrate:

• 10+ Years’ experience administering High Performance Compute clusters in Big Data environment
• Expert knowledge to configure and maintain LINUX systems (apache, tomcat, mysql, etc.) in a multi-platform, multi-protocol production environment
• Certification with at least one major LINUX distribution preferably Red Hat
• ITIL certification and service management fluency
• Understanding of scientific computing
• Strong communication skills
• Team Leader skills for small team of 1-3
• Ability to work under pressure, dealing with multiple operational issues simultaneously

This is a long-term contract position with a large international client.  The client is located minutes from Lake Geneva, on the Swiss Riviera and close to Lausanne.  Info-Tech will provide advice and support through your relocation if you are working in Switzerland for the first time.

Apply<<<

C/C++ Bioinformatics Developer

Bethesda, MD

Up to $125,000 compensation

Experienced C/C++ developer to work in the field of Bioinformatics. The best candidates will have at least 5 years experience in C, C++, background in algorithm development and implementation and/or programming support of scientific research, as well as experience with SQL and database programming is also highly desired. Apply if you feel you come close! Email lee.iovino@visualsoftinc.com cc: icitjobs@gmail.com for more info. www.visualsoftinc.com

 

Job Title

Java Scientific Software Developer

Salary/Rate

£30000 - £35000/annum

Location

Wakefield, West Yorkshire

Posted

31/05/2013 (15:53)

Agency/Employer

Connectus

Description

Do you have a Bioinformatics and / or Java programmer background? Would you like to work on a ground breaking pan European Drug / Disease software workflow project?

Ideally you will have skills in biological/biomedical/pharmacological computation or Bioinformatics. The role is to work on a large scale EU funded project to utilise up to date IT / Software technology to aid scientific research into drug discovery. 

You will play a major role in the software development programme, including: 

Leading development in the area of workflow analysis, design and implementation; 

Collaborating with modellers, scientists and other computer scientists in the implementation of semantic interoperability;

Development and implementation of relevant ontology standards; contributing to dissemination and documentation of project results; and development of user training materials.

This role could suit a PhD research scientist who possesses strong Java programming skills or a commercial Java programmer with good knowledge of Workflow.

The successful candidate will have strong programming skills and at some demonstrable analysis/design expertise. Expertise in an OO programming language ideally with Java. 

Excellent analytical and abstraction skills with ability to identify key constructs for software abstraction data relating to pharmacology and biosciences are desirable.

Experience of working in a workflow environment, developing applications for use with tools such as Taverna, Kepler, jBPM or Knime would be particularly advantageous. 

Experience of distributed computing, grid computing and web services would also be advantageous.

Any knowledge of Python is desirable.

Knowledge of the statistical programming language R would be beneficial, as would experience of modelling tools such as BUGS/WinBUGS, MATLAB, Monolix.

In this role you will have a direct impact on the success of the project and the work you produce has a real world benefit to speeding up the process of drug discovery. You will need strong communication and interpersonal skills to work with colleagues based across Europe. You will be required to attended 4 project meetings based in Europe per year. 

Please apply asap to be considered.

To apply for this position, candidates must be eligible to live and work in the UK

Matchtech Group Plc is acting as an Employment Agency in relation to this vacancy.

Job Type

Permanent

Start Date

01/04/2013  

Contract Length

N/A  

Contact Name

Sam Bowen  

Telephone

Login or register to view

Job Reference

279314SYB

Job ID

113693029

Applications

Less than 10

 

Apply here<<

Quantitative Geneticist - Switzerland

Location:

Switzerland

Salary:

Salary - DOE

Date posted:

Unspecified

Job type:

Permanent

Company:

Paramount Recruitment Med Comms, PR & Advertising

Contact:

Kieron Mc Daid

Ref:

Totaljobs/QUANT-GENE-1

Job ID:

56428804

Quantitative Geneticist - Bioinformatics - Switzerland

A global biopharmaceutical giant has a unique opening for a Quantitative Geneticist to join their Bioinformatics & Data Analysis division in Switzerland. 

Working alongside a team of computational biologists, biometricians and informatics specialists, you will be responsible for applying your statistical know-how to support some of Europe's leading scientists in ground-breaking biomarker discovery initiatives. 

This role is perfect for a Quantitative Geneticist who flourishes in a fast-paced environment; juggling multiple projects at one time; whilst providing consultancy services to major clients within the scientific community. To succeed in this post, you must be passionate about problem solving and innovation, enjoy being challenged and have clear background in NGS data analysis. 

Requirements: 

The ideal applicant will be educated to a PhD level in statistical genetics or mathematical discipline, with a solid grounding in R/Bioconductor, S-Plus or SAS. You will possess in-depth knowledge of statistical genetics covering areas such as designing experiments, statistical analysis plans, exploratory data analysis and statistical modelling. 

It is essential that you have excellent verbal and written communication skills and confident in your ability to project manage and liaise with clients across multi-disciplinary areas. The ability to communicate complex ideas clearly and concisely to non-statisticians, both orally and in writing is a definite must!

Rewards include a fantastic starting salary, company benefit's package and great career progression opportunities. Our client has clear expansion plans for 2013 and hoping to identify an experienced bioinformatics/statistics professional to share in the success of their company. 

If you feel you have what it takes, then contact Kieron McDaid at Paramount Recruitment on (+44)121 6163462.

Keywords: SAS, Bioinformatics, Statistics, S-plus, Data Analysis, Project Manager, Quantitative Genetics, Meta-Analysis, Bayesian, Genomics, Statistical Geneticist, R, Biostatistician

Paramount Recruitment Limited provides services as an agency and an employment business. We regularly have similar roles in this area. Please see our website for details or send your CV in to us to find out the latest opportunities.

Apply heree<<

It takes three gigabytes of computer memory to store the three billion bases that make up the human genome. That is the example that Rochester Institute of Technology alumnus Vishal Thovarai offers to illustrate the magnitude of data that modern scientists deal with.

As a bioinformatics engineer, Thovarai helps process data gained through DNA sequencing, the method by which scientists determine the order of the chemical building blocks that make up DNA.

After receiving his master’s degree in bioinformatics from RIT this year, Thovarai was hired by the J. Craig Venter Institute, widely considered a leader in genomic research.

“Sequencing technology is evolving so rapidly,” he said. “Now that we have the techniques, we are trying to sequence everything possible … But it’s hard to keep up. We need the capability to store and manipulate large amounts of data.”

Thovarai is one of three RIT graduates who have been hired at the J. Craig Venter Institute, which published the first diploid human genome, or genome of an individual. The institute’s global ocean sampling expedition has uncovered more than 20 million new genes and thousands of new protein families from organisms found in sea water.

“They are doing fantasy stuff,” said Gary Skuse, RIT’s interim head of the School of Biological and Medical Sciences and former head of the bioinformatics program. “It’s just incredible.”

For now, most graduates of the bioinformatics program must leave the Rochester area to find work. Skuse believes that in the future, bioinformatics skills will eventually become necessary for anyone working in biotechnology.

EBRYANT@DemocratandChronicle.com

Midday at the Oasis:

Class Description | Agenda

1 hour 

Class Description

Midday at the Oasis, NN/LM PSR's monthly web conference, is usually held the third Wednesday of every month from 1-2 PM (PT).

The web conferences are conducted via the Adobe Connect™ web meeting system. All you'll need is your Internet connection and your phone. Prior to the meeting, run a diagnostic test to ensure your computer and network connections are properly configured to provide you with the best possible meeting experience. The test will indicate if you need to install a plug-in or an add-in for your browser.

In order to receive continuing education credit, an attendee must complete all of the following steps:

• Register to attend Midday at the Oasis
• Log in to the webinar
• Attend at least 90% of the webinar
• Complete and submit an evaluation of the webinar, a link to which will be emailed to all attendees after the webinar.


Agenda

June 19th	Insights from the Fundamentals of Bioinformatics course with Frances Chu, Lisa Federer and DeDe Leshy
July 17th	Copyright! With Peggy Tahir, Education & Copyright Librarian, UCSF Library
August 21st	Data Dashboards! With Susan Barnes, Assistant Director and Cindy Olney, Evaluation Specialist of the Outreach Evaluation Resource Center (OERC)

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Current training opportunities for this class:

Date	Site	RML/Center	Register
Wednesday June 19, 2013 1:00 PM PT	Online	Pacific Southwest Region	Register
Wednesday July 17, 2013 1:00 PM PT	Online	Pacific Southwest Region	Register
Wednesday August 21, 2013 1:00 PM PT	Online	Pacific Southwest Region	Register