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Showing posts with the label Perl

Bioinformatics Short Time Courses

Here are some bioinformatics courses, These are geared towards: - Scientists, so they can think like a programmer and solve bottlenecks in data-based Biology - Computer programmers, so they know how to solve bioinformatics problems for scientists - Bioinformaticians, so they can advance their skills in newer application areas Some of these courses include scripting and database management with Linux, Perl, R, Matlab and MySql, while others include learning to use software for analyzing data from Microarray, NGS, Metabolomics and Proteomics platforms. A course on High Performance Computing and Primer Design is also offered. A detailed roster of scheduled courses is available at: http://www.bioinformatics.org/edu/calendar/view.php?view=upcoming Additionally, through Bioinformatics.org, an instructor-led program in practical bioinformatics is being offered. The goal here is to provide attendees a broad overview of the bioinformatics landscape, while giving them hands-on experienc...

Microbial Genomes Curator @ Computercraft Corporation--Maryland (US)

Microbial Genomes Curator @ Computercraft Corporation--Maryland (US).  Submitted by Computercraft Corporation; posted on Saturday, March 17, 2012 RESPONSIBILITIES: Computercraft seeks a microbiologist to work with a team of software developers and biologists on microbial genome analysis including pan-genome, protein clusters, phylogenetic tree and more. This is a technically challenging position requiring experience in genome sequencing and annotation. A background in comparative genome analysis such as alignments and tree building is a plus. Our scientists work with genomic experts at the NIH's National Center for Biotechnology Information (NCBI) to create and enhance a suite of databases and tools available to researchers worldwide. Teamwork interaction and excellent organizational skills are essential for this detail-oriented position, as is scientific problem-solving with a results-oriented focus. REQUIREMENTS: * PhD in molecular biology, microbiology, or related field * ...

Bioinformatics position

Courtesy Bioclues Are you a skilled bioinformatician? Do you have experience with analysis and integration  of large data sets? Would you like to work with leading experts and constantly improve  your skills? Then you may be Intomics’ next bioinformatician. We are expanding our bioinformatics team and are seeking a skilled bioinformatician to  help the team provide innovative solutions for our clients in the pharmaceutical industry.  You will play an important role in implementing data mining strategies for projects in  areas such as target identification, biomarker identification, disease systems biology, and  translation research. Our preferred candidate has the following profile: Bioinformatics or computational biology background Experience with large-scale data mining Strong experience with programming (e.g.  Perl,  Python,  Java),  databases (e.g.  MySQL, PostgreSQL), and Unix Excellent communication skills and the abi...

EMBO Courses, Workshops & Conference Series

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Practical Course - European Molecular Biology Organization Bioinformatics & Comparative Genome Analyses 27 June - 09 July, 2011 |Institute Pasteur | Paris | France About the Practical Course In the context of large-scale genome comparisons, the main objectives of this general purpose practical course are to strengthen capacities of students in Bioinformatics and data analyses skills by introducing reviews on advanced fundamental algorithms used in Bioinformatics and their applications in genome studies.     Theoretical presentations will be followed by practical sessions, so that the same speaker will ensure links between theory and practice. Reviews on each suggested topic will include their corresponding research perspectives, aiming at helping young scientists to gain insights into ongoing research in this domain.  The course topics will include theoretical and practical aspects in: large-scale genome comparisons, evolutionary analyses, sequence and g...

Application/Resource Developer Position @ Linguamatics

Linguamatics is currently seeking a talented post graduate with experience of natural language processing to work on leading edge text mining products. You will be responsible for developing and maintaining resources for domain specific adaptation of real-time semantic search software based on Natural Language Processing. Working closely with application scientists and the development team, you will ensure that the combination of software and resources satisfies customer requirements. This will include developing linguistic patterns, and programs to transform domain specific terminologies into common formats and keep them up-to-date. You will be working on life science applications, and some knowledge of the Pharmaceutical or Healthcare industry would be useful.In addition to resource and application development, you will be expected to contribute to ongoing UK or EU funded research projects as part of the research and resource development team. You will have strong communication ski...

Bioinformatics Workshops @ Lucknow

Workshop: Developing Bioinformatics applications with Bioperl   Duration: 5 days, Registration Fee:   Rs. 2000 /-   Starting date: November 05 - 09, 2010   Workshop: Biological sequence analysis Duration: 3 days, Registration Fee: Rs. 1000 /- Starting date: November 26 - 28, 2010  Venue:The Bioinformatica Solutions,lucknow Fee should be deposited through bank draft in  the name of "The Bioinformatica Solutions"  payable at Lucknow.  Follow this link to apply http://www.thebioinformatica.com/Registration.htm  

A comparison of common programming languages used in bioinformatics

The electronic version of this article is the complete one and can be found online at: http://www.biomedcentral.com/1471-2105/9/82 Abstract Background The performance of different programming languages has previously been benchmarked using abstract mathematical algorithms, but not using standard bioinformatics algorithms. We compared the memory usage and speed of execution for three standard bioinformatics methods, implemented in programs using one of six different programming languages. Programs for the Sellers algorithm, the Neighbor-Joining tree construction algorithm and an algorithm for parsing BLAST file outputs were implemented in C, C++, C#, Java, Perl and Python. Results Implementations in C and C++ were fastest and used the least memory. Programs in these languages generally contained more lines of code. Java and C# appeared to be a compromise between the flexibility of Perl and Python and the fast performance of C and C++. The relative performance of the tested languages d...