This workshop is aimed at bringing together ~40 diverse speciation researchers:

- to collaborate on populating a database of published reproductive barriers based on a standardized RIO framework (https://ecoevorxiv.org/repository/view/10083/). This will involve working through papers during the workshop to extract RI measures and other metadata and entering them into a draft database (some preparatory work before the workshop may be requested to facilitate these steps during the workshop)

- to start working towards a manuscript using this database to answer an outstanding question in speciation

- to network, learn about reproductive isolation, and have fun!

If you are interested in applying to participate in the workshop, please fill out the form in the link below by ** May 20th **. Room & board will be covered by the organizers; all other travel costs are the responsibility of the attendee.

Application link:

https://docs.google.com/forms/d/e/1FAIpQLSenAMqSdZjeRmKEDtBNa5tpjPn7IukPyT5BzfZ4JMpIk2YOEw/viewform

The previous IOS workshop was held in Finland in 2023 (see more details at https://speciation-network.pages.ist.ac.at/workshops) and resulted in new interactions between speciation researchers and the successful publication of an Integration of Speciation research manuscript (https://academic.oup.com/evolinnean/article/3/1/kzae001/7609448).

We look forward to seeing you in Glasgow!

Interested candidates may email their resume along with a cover letter to careers@arraygen.com

Official website: http://www.arraygen.com/

During the first phase of ENCODE, published in 2007, microarray-based technologies were used to detect regions associated with transcription factors, certain histone modifications and open chromatin within a pre-specified 1% of the human genome.

ENCODE’s second phase saw a switch to sequencing-based technologies, the addition of new assay types and the analysis of functional elements genome-wide, described in a collection of research articles in 2012.

The Encyclopedia paper of ENCODE 3, published in Nature, gives an overview of the various assays that were performed in human and mouse cell lines and tissues and describes a Registry of human and mouse candidate cis-regulatory elements (cCREs).

More at https://www.nature.com/immersive/d42859-020-00027-2/index.html

₹ 1,66,378 (Consolidated)

01

(UR)

Ph.D. in the area of Computational Biology/Bioinformatics/Biotechnology/Life Sciences with at least 6 years of relevant experience.
OR
M. Tech with 8 years of relevant experience.

The relevant experience shall be in the area of sequencing/genome assembly and annotation and high throughput genotyping for facilitating Genomic assisted Breeding
Age: Not exceeding 50 years

• The incumbent will assist the Programme Director of the Facility to discharge various activities of the NGGF

• Co-ordination with the service provider, DBT/academic institutions/anchoring institute (NIPGR) for execution of activities of the Facility.

• The incumbent will be expected to identify the requirements of Private Sector and Government laboratories in the area of Marker assisted selection and develop linkages to facilitate the same.

• Interact with multiple stake holders including Government and Private Sector in the area of agriculture Biotechnology.

• Oversee the establishment of relevant Standard Operational Procedures (SOP), Quality Accreditation of Genomics and Genotyping facility.

More at http://www.nipgr.ac.in/careers/vacancies_latest.php#vacancy2

More at https://www.igib.res.in/bdmg/ScientistRecruitmentAdvt2023.pdf

About 8,000 years ago, the gene EGLN1 changed by a single DNA base pair. Today, a relatively short time later on the scale of human history, 88 percent of Tibetans have the genetic variation, and it was virtually absent from closely related lowland Asians. The findings indicate the genetic variation endows its carriers with an advantage.

In those without the adaptation, low oxygen caused their blood to become thick with oxygen-carrying red blood cells, an attempt to feed starved tissues, which could cause long-term complications such as heart failure. The researchers found that the newly identified genetic variation protected Tibetans by decreasing the over-response to low oxygen.

Reference: http://www.nature.com/nature/journal/v512/n7513/abs/nature13408.html

To take care of this issue, many ways are opened to the researchers to improve the quality of the algorithms:

1. Usage of new information processing methods like artificial neuronal networks, genetic algorithms, etc. 2. Usage of Data mining  to explore biochemical databases,
3. Usage of Machine learning on the biological examples to solve, for example, the problem of classification in Bioinformatics.

UFR offers in addition a doctoral training in Computer Science and Bioinformatics.

Doctoral module which includes: a Diplôme des Etudes Supérieures Approfondies (DESA)  of two years; and a doctorate studies program with a national Ph.D. certification. Three specializations constitute the teaching trunk of the ENSAT: Computer engineering, Telecom  engineering, and electronic systems engineering.

Research Interest and Activities:

The following are the present areas of research interest:

1. Machine Learning and Profile Gene Expression of Cancer
2. Predicting Protein structure
3. Hidden Markov Models (HMMs) and multiple alignments
4. Transformational Grammar for sequence modelling
5. Physical Mapping: STSs
6. Evolutionary Computation applied to Genomic and Proteomic
7. Predicate Logic and Protein Structure

Web site and links:

http://www.ensat.ac.ma/udiab http://www.pasteur.fr/pasteur/international/annonce_coursBioinfoannonce06_casa.pdf

Annotation

https://bigd.big.ac.cn/ncov/variation/annotation

Genome wharehouse 

https://bigd.big.ac.cn/gwh/browse/index

Released Genome

https://bigd.big.ac.cn/ncov/release_genome

Download data 

ftp://download.big.ac.cn/Genome/Viruses/Coronaviridae/

Raw data

https://bigd.big.ac.cn/gsa/browse/run/?tag=Coronaviridae

Address of the bookmark: https://bigd.big.ac.cn/ncov/about

Finally, I find the underlying R code in a file created by GrapheR. For more details read also the package vignette, which is available in English, French and German!

More at http://pythonhosted.org/pybedtools/

A powerful toolset for genome arithmetic.http://code.google.com/p/bedtools/