To find repeats in a genome from 2 to 9 length using a Perl script, you can use the RepeatMasker tool with the "--length" option[0]. Here's a step-by-step guide:

Starting 15th July 2015, the position relates to a project specifically for in silico drug docking, screening, design, optimisation and linkage with active chemists.

Experience in many docking softwares and operating systems is essential.

Additional experience in bioinformatics and computational biology tools will be useful.

Submit curriculum vitae to: sb.icgeb@gmail.com

Closing date: 5 July 2015

The OpenCPU JavaScript client library provides the most seamless integration of R and JavaScript available today.

OpenCPU uses standard R packaging to develop, ship and deploy web applications. Several open source example apps are available from Github.

Installing your own OpenCPU server is super easy and only takes a few minutes.

More at https://www.opencpu.org/

Overview of SLiM and msprime

SLiM: Forward Genetic Simulator

SLiM is a free, open-source tool designed for forward genetic simulations. It allows researchers to model complex evolutionary scenarios, including selection, recombination, and demographic events, making it particularly useful for studying adaptation and selection in populations.

Key Features of SLiM:

• Simulates population evolution forward in time

• Supports custom evolutionary models using an embedded scripting language

• Allows modeling of spatial and ecological dynamics

• Provides high flexibility and extensibility for user-defined scenarios

• Available on GitHub as an open-source project

msprime: Ancestry and Mutation Simulator

msprime is an efficient, open-source tool that simulates ancestry and mutations using a coalescent framework. It is known for its high-speed performance and low memory requirements, making it a popular choice for large-scale genomic simulations.

Key Features of msprime:

• Implements coalescent simulations for ancestry modeling

• Efficiently simulates large population histories

• Supports the addition of mutations to genealogies

• Developed using an open-source community model

• Often faster and more memory-efficient than alternative simulators

Using SLiM and msprime with slendr

Both SLiM and msprime can be integrated with slendr, a framework that facilitates structured population genetic simulations. This integration allows for seamless comparison of simulation outputs.

How They Work Together:

• SLiM and msprime simulations can be analyzed within slendr.

• The ts_read() function in slendr enables loading and comparing tree sequence outputs from both simulators.

• This integration allows researchers to validate simulation results and gain deeper insights into evolutionary processes.

Performance Considerations

While SLiM offers powerful forward simulations with extensive customization, msprime is often preferred for its speed and memory efficiency when simulating ancestry and mutations. The choice between the two depends on the research goals:

• For detailed evolutionary modeling with selection and recombination: Use SLiM.

• For large-scale coalescent simulations with mutations: Use msprime.

• For comparing different simulation models and their outputs: Use slendr to integrate SLiM and msprime results.

Conclusion

SLiM and msprime are valuable tools for genome simulation, each serving distinct but complementary purposes in population genetics research. By leveraging the strengths of both simulators with slendr, researchers can conduct robust and efficient evolutionary simulations, enhancing our understanding of genetic diversity and adaptation.

For more information, check out the official GitHub repositories for SLiM and msprime, and explore the slendr framework for streamlined simulation workflow

For informal enquiries please contact Anne Walsh via email: anne.walsh@bristol.ac.uk.

Apply at http://www.bris.ac.uk/jobs/find/details.html?nPostingID=3639&nPostingTargetID=13346&option=28&sort=DESC&respnr=1&ID=Q50FK026203F3VBQBV7V77V83&JobNum=ACAD101624&Resultsperpage=10&lg=UK&mask=uobext

However, pangenome graphs can be highly complex, making them difficult to visualize and interpret. A recent study published in BMC Bioinformatics introduces PG2 (PanGenoGrapher), an open-source, web-based tool designed to address this challenge. The source code and user guide are openly available on GitHub at https://github.com/iVis-at-Bilkent/pangenographer. A publicly accessible sample deployment is hosted at http://pg2.cs.bilkent.edu.tr. In addition, a demonstration video illustrating the primary use cases of PG2 is available at https://www.youtube.com/watch?v=yCd7-aGY6CQ.

PG2 combines advanced graph-layout algorithms with an interactive visualization platform. It allows researchers to explore genomic paths, identify variations, and examine relationships between different parts of a pangenome graph more easily.

This is important because visualization can play a major role in bioinformatics. When complex genomic information is presented clearly, researchers can more easily identify patterns, understand genetic variation, and generate new biological insights.

The development of PG2 represents a step toward making pangenome analysis more accessible and intuitive. As genomic datasets continue to grow and graph-based representations become more common, tools like PG2 can help researchers navigate this increasing complexity.

Ultimately, PG2 demonstrates how combining genomics, graph algorithms, and interactive visualization can make sophisticated biological data easier to understand and analyze.

Reference: Solun, G. K., Dogrusoz, U., Bingöl, Z., & Alkan, C. (2026). PG2: algorithms and a web-based tool for effective layout and visual analysis of pangenome graphs. BMC Bioinformatics. DOI: 10.1186/s12859-026-06555-4.

Pay Scale: Rs. 40,000/-per month +HRA (as admissible) for Ph.D. holders and Rs. 38,000/-p.m. + HRA (as admissible) for Master degree holder

Qualifications: a)Essential :

Ph.D.in Biotechnology/ Molecular B iology/ Genetics & Plant Breeding/ Bioinformatics ( Should have the degree in life sciences at gra duate level) OR Post - Graduation in Biotechnology/ Molecular Biology/ Bioinformati cs/Genetics & Plant Breeding

or equivalent with at least two years of research experience and 60% marks. ( should have a degree in life sciences at graduate level)

b) Desirable :

1. Working experience in plant molecular biology

2. Knowledge of Computational Genomics/Proteomics/ Bioinformatics

3. Working knowledge on Computer programming

Walk-in Interview will be held at The Indian Institute of Spices Research, Marikunnu P.O., Kozikode-673012, Kerala on 28/7/2015 at 10.00 AM.

For more details: http://www.spices.res.in/pdf/Mining%20and%20Validation%20Website.pdf

Desirable qualification: M.Sc (Life Sciences) with Bioinformatics knowledge and hands on molecular biology tools.

Age: Not exceeding 30 years on the last date of receipt of application

Job work: Molecular modelling studies, Database curation, Metagenomic studies on Dengue virus

Advertisement: http://vcrc.res.in/writereaddata/BIPrj15.pdf

WALK-IN-INTERVIEW (EMPLOYMENT NOTIFICATION)

Eligible candidates are invited to apply for the following post on the ad hoc research project entitled “Biomedical Informatics Centre’s of ICMR” - funded by ICMR at this Institute. The Applications will be received from the individuals on 31st July, 2015 between 9:30 A.M. and 10:30 A.M. at Conference Hall, NIN, Tarnaka, Hyderabad.

Late applications will not be entertained after 10:30 A.M. at any circumstances.

The Candidates may download the Application Form from NIN website: www.ninindia.org

Selection Procedure: Written test and Interview will be conducted to the eligible candidates, if the large numbers of candidates are found to be eligible in the screening. If the lesser number of candidates are found to be eligible in the screening, interview will be conducted only to the short listed candidates for final selection. The names of the shortlisted candidates will be displayed on the Notice Board, which is kept in front of the Conference Hall by 11:30 A.M.

Date of Written Test / Interview: 31st July, 2015. The essential qualification, experience, consolidated Pay and service tenure are as under:

1. Scientist-II (no. of vacancies -1 No.) (UR)

Essential Qualifications :

(i) First Class Master’s Degree in Bio-informatics/ Life Sciences form a recognized University with 4 years R&D experience in the biomedical informatics subject. (or)

(ii) 2nd Class M.Sc./ M.Tech. in Bio-informatics + Ph.D. in the relevant subject from recognized University with 4 years research experience in the biomedical informatics subject.

Age limit : Not exceeding 40 years. Cons.

Pay : Rs.45,954/- p.m. plus 30% HRA p.m. (fixed) without any other allowances.

Tenure : Initially upto 29th February, 2016 and extendable for three more years based on the performance of the candidate and funds position.

Note: Age relaxation will be given to the deserving Candidates. The short listed candidates should bring all original certificates of educational qualification (from SSC onwards), experience, SC/ST/OBC Community Certificate / PH Certificates along with a pass port size photograph and set of Photo copies duly attested for attending the Written Test/Interview. The persons belonging to Other Backward Category should bring the latest O.B.C. (Non-creamy layer) Certificate issued by the respective Tahsildar/ MRO specifically issued for the purpose of applying for Central Government Post. No TA/DA will be paid for attending the Written Test /Interview.

GENERAL CONDITIONS: The conditions of employment will be the same as are for the project staff on contract basis. The candidates have no right to claim for any regular employment at this Institute. The Director In-charge & Appointing Authority has the right to accept / reject any application without assigning any reason/s and no correspondence in this matter will be entertained.

More at http://ninindia.org/31July2015.pdf