The postdoctoral researcher will contribute to this project using
a combination of evolutionary and comparative genomics, as well as a
diverse set of bioinformatic approaches for data analysis and integration
(e.g., transcriptomics, genomics, phenotypic data). This position offers
a unique opportunity to integrate diverse state-of-the-art genomic and
phenotypic datasets across different model organisms to understand the
role of genes, molecular pathways in the origin of complex diseases.

CINV provides a highly collaborative and multidisciplinary environment
using a variety of computational and experimental approaches,
including genetically tractable animal models as well as expertise in
genetics, behavior, glia-neuron communication, metabolism, biophysics,
genomics, bioinformatics, host-microbe communication, and biomolecular
modelling. The new postdoc will be part of one of our labs which focuses
more generally on the intersection between molecular evolution and
disease biology.

Required qualifications are a PhD in evolutionary biology, computational
biology, bioinformatics, or closely related fields. Candidates must have
excellent verbal and written communication skills (working language
is English), as well as an established record of productivity (e.g.,
at least one previous peer-reviewed publication). Candidates with a
past record of publications in bioinfomatics, computational biology,
population genetics or evolutionary genomics are strongly preferred. Ideal
candidates should have experience in analyzing genomic and phenomic
data, performing comparative evolution or population genomic analyses,
as well as in collaborating with experimentalists.

Interested candidates should first contact Evandro Ferrada at
. Please include the following: (1) a cover
letter addressing your interest in the position and how your expertise
meets the position requirements, (2) a CV, (3) contact information of
at least 2 references. A short online interview will follow to discuss
specific proposals. Candidate materials will be reviewed as soon as
possible until the position is filled.

For further information, please visit:
https://cinv.uv.cl/cinv-postdoctoral-fellowship-program-2026/

Dr. Evandro Ferrada
Associate Profesor

Centro Interdisciplinario de Neurociencia (CINV)

Facultad de Ciencias, Universidad de Valpara�so.

Pasaje Harrington 287, Playa Ancha, Valpara�so, Chile.

Tel. +56 (32) 250 8453

www.cinv.cl

Problem :

The CG island is a stretch of DNA (usually longer than 200 bases) in which the frequency of the CG sequence is higher than other regions. It is also called the CpG island, where "p" simply indicates that "C" and "G" are connected by a phosphodiester bond.

CpG islands are often located around the promoters of housekeeping genes (which are essential for general cell functions) or other genes frequently expressed in a cell. At these locations, the CG sequence is not methylated. By contrast, the CG sequences in inactive genes are usually methylated to suppress their expression. The methylated cytosine may be converted to thymine by accidental deamination. Unlike the cytosine to uracil mutation which is efficiently repaired, the cytosine to thymine mutation can be corrected only by the mismatch repair which is very inefficient. Hence, over evolutionary time scales, the methylated CG sequence will be converted to the TG sequence.

Find step wise explanationand implementation steps at http://dna.cs.byu.edu/bio465/Labs/hmm.shtml

Source code with explanation http://www.tannerhelland.com/1187/hidden-markov-models-viterbi-algorithm-cpg-islands-in-vb6/

Fore detail understanding of HMM read this excellent tutorial http://www.cs.ubc.ca/~murphyk/Software/HMM/labman2.pdf

Viterbi Algo at http://en.wikipedia.org/wiki/Viterbi_path

For firther reading Wiki page http://en.wikipedia.org/wiki/Hidden_Markov_model

On CpG island paper and for indepth understanding http://www.biomedcentral.com/1471-2164/12/S2/S10

If you are more interested in exploring Markov Chain Exploration and understand it with graphical version please visit http://www.planet-source-code.com/vb/scripts/ShowCode.asp?txtCodeId=75049&lngWId=1

Reference:

1.http://www.planet-source-code.com

2. http://www.tannerhelland.com

Address of the bookmark: http://www.ogt.com/assets/0000/3190/NGS_Survey_2013_Infographic_Web.pdf

the study of the sequence-structure relationship
(application -> structure prediction)
the study of the structure-function relationship
(application -> function prediction)

Therefore, anything related to the configuration (sequence) and conformation (structure) in atomic systems of proteins and nucleic acids, and the interaction of these with other elements (function) is of our major interest.

Lab page @ http://melolab.org/mbl/

Source:  Igor Ulitsky & Ron Shamir

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

1 Scientist E 3

50,000/-

M.Sc. in Life sciences or Plant Sciences or Biotechnology or Microbiology or Bioinformatics or Ph.D. from a recognized university in any of above subject.

Minimum 8 Yrs. of experience after M.Sc. or 5 Yrs. of experience after Ph.D. in responsible position of work in R & D in the area of genomics/ conservation biotechnology/bioinformatics/Planning/Scientific Administration in Science and technology organization. Highly qualified in the area of modern biology, as evidenced through research experience and proven ability to carry out work in the area of conservation biotechnology. Age limit not exceeding 40yrs.

2 Scientist B 6

30,000/-

M.Sc. in Life sciences or Plant Sciences or Biotechnology or Microbiology or Bioinformatics or Ph.D. from a recognized university in any of above subject shall be preferred.

Minimum 3 Yrs. of experience after M.Sc. in responsible position of work in R & D in the area of genomics/ conservation biotechnology/ bioinformatics /Planning/Scientific Administration in Science and technology organization. Highly qualified in the area of modern biology, as evidenced through research experience and proven ability to carry out work in the area of conservation biotechnology. Age limit not exceeding 35yrs.

The positions are purely on contractual basis for 11 months. Interested candidates can apply online in specified format available at "http://leogen.in/recruit/" The last date of applying is 24th December, 2013. Applications must be submitted online only. Applications submitted in any other format except online prescribed performa will be rejected. Candidates in service must apply through proper channel. Candidates will be required to provide original documents along with duly filled and signed application Performa, as and when called for interview.

For more details please visit the website URL : http://leogen.in/recruit

PNAS papers:
http://www.pnas.org/search?author1=Janet+Kelso&sortspec=date&submit=Submit

Jobs:
http://www.eva.mpg.de/genetics/bioinformatics/jobs.html

Contact:
Kelso Group
Department of Evolutionary Genetics
Max Planck Institute for Evolutionary Anthropology
Deutscher Platz 6
04103 Leipzig
Germany
Email: kelso@eva.mpg.de

Lab Page http://gabi.cidbio.org/index/

"Computational Methods for the Analysis of the Diversity and Dynamics of Genomes"

has currently open positions for graduate students, to study at Simon Fraser University (Vancouver, Canada) and
Bielefeld University (Germany), starting in the fall 2014.

This international graduate program is a close cooperation of:

Bielefeld University, Germany: Graduate progam "DiDy"
Simon Fraser University (SFU), Vancouver, Canada: Graduate program "MADD-Gen"

The available positions include six PhD positions at Bielefeld University, as well as PhD and MSc positions at SFU.

Application deadline: December 31st, 2013
Webpage: http://wiki.techfak.uni-bielefeld.de/didy/Announcement

Translational recoding.

RNA editing.

Evolution of the genetic code and translation.

More at http://lapti.ucc.ie/research.html

Lab page http://lapti.ucc.ie/index.html