BOL: Related items

Linux Cheat Sheet

Jitendra Narayan — Tue, 09 Jul 2013 17:30:04 -0500

In an attempt to find a good Linux reference for bioinformatician and BOL readers, I was unsuccessful at finding a decent one on the Internet. So, we decided to make a cheat sheet for biological programmers.

Bioinformatics Training Courses At RASA LSI

RASA Life Sciences — Wed, 06 Nov 2019 00:30:51 -0600

RASA conducts comprehensive Life Science skill development training courses in Pune, India for working professionals, researchers, students and job-seeker. The trainings are crafted meticulously, covering different modules of courses such as Bioinformatics course, In silico Drug Discovery course, Next Generation Sequence data analysis course, Molecular Biology & Life science software development course wherein you learn from industry leaders how to apply these skills in life science & have a command over software developing process by using various methodologies. We conduct in-class training and instructor-led live online classes worldwide, along with corporate and skill development training worldwide.

Workshops are conducted in regular intervals on Drug Designing, Protein Modeling and Simulation, Chemoinformatics, Bioinformatics etc.The workshops are highly beneficial for working professionals, students, researcher for enhancements of the skills in short duration.

Bioinformatics: Introduction to PERL

Archana Malhotra — Thu, 11 Jul 2013 09:49:37 -0500

This course is aimed at those new to programming and provides an introduction to programming using Perl. By the end of this course, attendees should be able to write simple Perl programs and to understand more complex Perl programs written by others. The course will be taught using the online Learning Perl materials created by Sofia Robb of the University of California Riverside. Further information is available.

Machine learning training and courses in bioinformatics !

Rahul Nayak — Tue, 31 Dec 2019 19:33:07 -0600

Machine learning techniques have been successful in analyzing biological data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. In this class, we will learn basics about probabilistic models and machine learning techniques. We will focus on probabilistic models (Markov models, Hidden Markov models, and Bayesian networks) for biological sequence analysis and systems biology. Other machine learning techniques, such as Naive bayes, neural networks and SVMs will only be covered briefly.

More at http://homes.sice.indiana.edu/yye/lab/teaching/spring2017-I529/

NGS & Bioinformatics Summit Europe

Sat, 13 Jul 2013 17:02:34 -0500

NGS & Bioinformatics Summit Europe

Conference

7th to 8th October 2013
Berlin, Germany

Website: https://www.gtcbio.com/conference/ngseurope-overview
Contact person: Kristen Starkey

We welcome you to join us at GTC’s NGS & Bioinformatics Summit Europe on October 7-8, 2013 in Berlin, Germany.

Organized by: GTC
Deadline for abstracts/proposals: 7th September 2013

Bioinformatician on Valentine's Day

BioQueen — Sun, 14 Feb 2021 11:36:32 -0600

Once asked to a bioinformatician "How is ur Valentine's Day?"

Bioinformatician replied:
if ($date == "Valentine's Day" && $me =! Bioinformatician) {
rose_day(); promise_day(); kiss_day();
}
else {
hack_genome(); ko-fi(); youtube(); do_scripting(); sleep();
)

Boku Chair of Bioinformatics

Sun, 14 Jul 2013 12:37:23 -0500

The Bioinformatics group at Boku University has two main areas of interest, underpinning a common goal, the study of complex systems in living organisms. To overcome the engineered redundancies and combinatorial effects prevalent in higher eukaryotes, novel views augmenting the classical gene by gene approaches are required. We combine
Work to establish improved quantitative experimental assays (such as microarrays or differential in-gel electrophoresis) and
Development of modern computational methods (such as hierarchical probabilistic models or integration of heterogeneous data sources)

Link @ http://bioinf.boku.ac.at/

Sequence Ontology Bioinformatics Analysis (SOBA) tool to provide a simple statistical and graphical summary of an annotated genome

BioStar — Wed, 22 Jul 2020 10:11:13 -0500

We have developed the Sequence Ontology Bioinformatics Analysis (SOBA) tool to provide a simple statistical and graphical summary of an annotated genome. We envisage its use during annotation jamborees, genome comparison and for use by developers for rapid feedback during annotation software development and testing. SOBA also provides annotation consistency feedback to ensure correct use of terminology within annotations, and guides users to add new terms to the Sequence Ontology when required. SOBA is available at http://www.sequenceontology.org/cgi-bin/soba.cgi.

More at https://pubmed.ncbi.nlm.nih.gov/20494974/

Address of the bookmark: http://www.sequenceontology.org/cgi-bin/soba.cgi

6 PhD Students @ TU Dresden

Sun, 14 Jul 2013 13:42:06 -0500

At TU Dresden, Faculty of Computer Science, the DFG Research Training Group GRK 1907 “Role-based Software Infrastructures for continuous-context-sensitive Systems” offers the positions of 6 PhD Students (E 13 TV-L)

for applicants interested in performing high-quality research on the connection between software engineering, database systems, and theoretical computer science as well as their applications in bioinformatics and business informatics. The research programme will start on October 1, 2013 until 30.09.2016. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz – WissZeitVG).

This research programme is a joint activity of Professors Lehner, Assmann, Baader, Baier, Schill, Schlegel, Schroeder, and Strahringer at TU Dresden. Alongside their research, an individual mentoring and qualification approach are arranged with specialized courses that prepare them optimally for their research, a research seminar where they can meet internationally renowned researchers in the field, and soft skills and language courses.

Requirements: Applicants should have an excellent academic record, and hold a MSc (or an equivalent university degree) in computer science or related disciplines (such as mathematics, bioinformatics or business informatics). Fluency in spoken and written English is required. Applicants with a good knowledge of software engineering or one of the application areas mentioned above are preferred. TU Dresden is committed to increase the proportion of women in research.

Applications from women are particularly welcome. The same applies to disabled people.

Please send enquiries to: wolfgang.lehner@tu-dresden.de

Applications consist of a CV, the names of two referees, transcipts of documents summarizing their academic performance, and a statement of interest. Application by email in pdf format is preferred, and should be submitted to wolfgang.lehner@tu-dresden.de in an electronically signed and encrypted form by July 30, 2013 (stamped arrival date of the university central mail service applies). Alternatively, applications can be sent to: TU Dresden, Fakultät Informatik, Institut für Systemarchitektur, Prof. Dr.-Ing. Wolfgang Lehner, 01062 Dresden, Germany.

Shortlisted candidates will be invited to Dresden in the middle of August to give a presentation on their Master’s thesis and discuss their research interest with the participating professors. Candidates that have not yet finished their degree when they send in their application should send preliminary transcripts of their academic records as well as a letter by the thesis adviser that comments on their progress so far and on the expected date of completion of their MSc or equivalent degree.

Sr. Scientist Bioinformatics Vacancies at Indian Institute of Toxicology Research, India

Tue, 01 Sep 2020 07:21:04 -0500

Start date of online Registration: Wednesday August 19, 2020 11:00 Hrs IST
Last date for Registration: Monday September 21, 2020 17:30 Hrs IST
Last date for submission of online application: Monday September 21, 2020 17:30 Hrs IST
Last date of Receipt of physical copy of application at CSIR-IITR: Tuesday October 05, 2020 17:30 Hrs IST

Pay Matrix Level-12
No. of Post-01
(UR)
Post – Sr. Scientist
Area Bioinformatics
Age limit : 37 years
PhD in Computational Biology/Bioinformatics with 2 years experience in desired area
Or
ME/M.Tech in Bioinformatics or Genome Informatics or Genetic Engineering with 3 years experience in desired area
Experience of understanding fundamental science behind Artificial Intelligence, machine learning, novel Artificial Intelligence algorithms and architectures, software engineering principles for Artificial Intelligence, natural language processing with proficiency in programming as evident by publications in SCI journals with high impact factor. To be part a group of scientists working in the area of genomics, running the central
bioinformatics facility, developing independent projects and providing bioinformatics support to the user scientists of the Institute.

More at

http://14.139.62.50/CSIR-IITR%20Scientist%20Recruitment%20Adv%202020.pdf