<![CDATA[BOL: Related items]]> https://bioinformaticsonline.com/related/3029?offset=1030 https://bioinformaticsonline.com/researchlabs/view/852/queensland-centre-for-medical-genomics-grimmond-lab Sun, 14 Jul 2013 11:58:34 -0500 <![CDATA[Queensland Centre for Medical Genomics, Grimmond Lab]]> Queensland Centre for Medical Genomics

Research Area:
pancreatic cancer; ovarian cancer; prostate cancer; bowel cancer; brain cancer; endometrial cancer; breast cancer; personalised medicine; high-throughput genomics

Link @ http://www.imb.uq.edu.au/sean-grimmond

]]> https://bioinformaticsonline.com/opportunity/view/4725/complex-systems-from-physics-to-biology-october-15-16-2013-at-jnu-convention-center Mon, 23 Sep 2013 10:17:17 -0500 <![CDATA[Complex Systems: From Physics to Biology October 15-16 2013 at JNU Convention Center]]> The symposium intents to focus on complex systems arising in a variety of settings in physics and biology. In particular, applications of the concepts of physics to biological sciences will be the major theme of this meeting.

Selected Topics:

Cluster Dynamics
Non-equilibrium Statistical Mechanics
Forced Systems
Hamiltonian Dynamics
Synchronization & Control
Genomics & Systems Biology
Computational Neuroscience
Econophysics

More @ http://www.jnu.ac.in/Conference/SCS2013/

]]> https://bioinformaticsonline.com/researchlabs/view/863/rolland-lagan-lab Sun, 14 Jul 2013 12:57:57 -0500 <![CDATA[Rolland-Lagan lab]]> The Rolland-Lagan lab at the University of Ottawa is specializing in computational and developmental biology. We use a combination of experimental work, microscopy, image analysis and computer simulations to explore developmental mechanisms in two and three dimensions.

Research Area

Developmental biology, Computational biology, Simulation modeling, Image data analysis

Link @ http://mysite.science.uottawa.ca/arolland/index.html

]]> https://bioinformaticsonline.com/file/view/18653/genetic-code-amino-acid Sun, 26 Oct 2014 07:45:58 -0500 https://bioinformaticsonline.com/file/view/18653/genetic-code-amino-acid <![CDATA[Genetic code - Amino Acid]]> The genetic code consists of 64 triplets of nucleotides. These triplets are called codons.With three exceptions, each codon encodes for one of the 20 amino acids used in the synthesis of proteins. That produces some redundancy in the code: most of the amino acids being encoded by more than one codon.

The image summarise all in one.

More at http://users.rcn.com/jkimball.ma.ultranet/BiologyPages/C/Codons.html

]]> Poonam Mahapatra https://bioinformaticsonline.com/news/view/6800/y-chromosome-is-worthless Sun, 24 Nov 2013 13:17:27 -0600 https://bioinformaticsonline.com/news/view/6800/y-chromosome-is-worthless <![CDATA[Y-chromosome is worthless!!!]]> The testis determinant factor Sry and the spermatogonial proliferation factor Eif2s3y genes of Y-chromosome play role in sex determination and performing first stage of spermatogenesis respectively.

Paper:

http://www.sciencemag.org/content/early/2013/11/20/science.1242544

]]> Rahul Agarwal https://bioinformaticsonline.com/view/119 Wed, 10 Jul 2013 14:35:34 -0500 https://bioinformaticsonline.com/view/119 <![CDATA[Which are the best statistical programming languages to study for a bioinformatician?]]> In Bio-informatics based genome sequencing and predicting metabolic pathways research jobs I used Matlab, SAS, SPSS, R and several Bioconductor packages. Matlab had a lot of powerful tools and was easy to use, whereas SPSS is for non-programmers and R need programming skills. I am wondering what other people think is best? or there might not be one specific language but a few that lend themselves best to Bio-informatics work that is math heavy and deals with a large amount of data.

]]> Jitendra Narayan https://bioinformaticsonline.com/researchlabs/view/857/smyth-lab Sun, 14 Jul 2013 12:26:18 -0500 <![CDATA[Smyth Lab]]> Statistical functional genomics in experimental medicine
The genome projects and the accelerated development of high-throughput genomic technologies such as microarrays have revolutionised biology. Making the most of this revolution requires the marriage of researchers from mathematical and biological backgrounds.

Research Area:
Linear models for microarray data
Digital gene expression technologies
Detection of molecular pathways
Bioinformatics resources for medical research

Link @ http://www.wehi.edu.au/faculty_members/professor_gordon_smyth/

]]> https://bioinformaticsonline.com/opportunity/view/1215/livestock-functional-genomics-summer-school-lfg-2013 Fri, 02 Aug 2013 09:57:37 -0500 <![CDATA[Livestock Functional Genomics Summer School (LFG 2013)]]> *Livestock Functional Genomics Summer School - Call for applications*

1st Livestock Functional Genomics Summer School (LFG 2013).

This School was designed for graduate students and early-stage researchers with interest in livestock genomics, who are engaged in projects that require knowledge in the field of computational biology.

Sixty selected participants will spend 13 days receiving theoretical and practical training in genomic data handling from internationally renowned experts.

After the course, the participant should understand the basis and the context of livestock big molecular data, and be able to manipulate high density genotypes, whole genome sequences and transcriptome data.

The Summer School will be held in Araçatuba-SP Brazil, from the 13th to the 21st of September 2013.

All accepted participants will have *expenses fully covered (air ticket, hotel and meals)*, including a free pass to the 5th International Symposium on Animal Functional Genomics http://www.isafg2013.org.br

Applicants will be selected based on their résumés. Application date is due by August 10th. Results will be announced in August 12th.

Please consult website: http://www.sciencesatellite.org.br/sschool

]]> https://bioinformaticsonline.com/videolist/watch/3918/the-human-genome-project-video-3d-animation-introduction-low Sat, 24 Aug 2013 19:01:19 -0500 https://bioinformaticsonline.com/videolist/watch/3918/the-human-genome-project-video-3d-animation-introduction-low <![CDATA[The Human Genome Project Video 3D Animation Introduction Low)]]> ]]> https://bioinformaticsonline.com/opportunity/view/5621/genome2014 Tue, 15 Oct 2013 12:47:32 -0500 <![CDATA[Genome2014]]> Genomics has profoundly changed our way of conducting research in microbiology. The power of high–throughput DNA sequencing technologies, in particular the recent development of next generation sequencing allows researchers now to address an increasingly diverse range of biological problems. The scale and efficiency of sequence-based analyses that can now be achieved is providing unprecedented progress in diverse areas that range from the analyses of genomes to related disciplines such as transcriptional profiling - or protein - nucleic acid interaction studies: Population and metagenomics studies can now be conducted in an unprecedented large scale, regulatory processes can be studied genome-wide under hundreds of different conditions. The genome wide study of the interaction of DNA or RNA with proteins brings completely new insight into regulatory processes and even single cell analyses become now possible. The many diverse applications of next–generation sequencing and the importance of the insights that are being gained through these methods are very exiting and challenging. It is the perfect time to come together and exchange new knowledge and technologies in this area.

Thus the conference on "Microbiology after the genomics revolution - Genomes 2014" will be an appropriate and timely occasion to offer an outstanding discussion forum for the best international researchers in all fields of cutting edge microbiology research to discuss newly discovered aspects of microbiology.

More @ http://www.genomes-2014.org/

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