LPI scores are inversely proportional to the phylogenetic distance between database match sequences and the query genome. These scores are useful not only for large-scalede novo predictions of horizontally transferred proteins, but can also serve as an independent quality control test for potential horizontal transfer candidates identified by alternative methods, especially those based on nucleic acid signatures. Candidates having high LPI scores are unlikely to have been horizontally transferred, since they are highly conserved among closely related organisms.

One unique and powerful feature of the DarkHorse HGT Candidate database is the opportunity to explore the phylogenetic background of potential HGT donors as well as recipients. The breadth of the database allows not only query sequences, but also their database match partners to be evaluated for sequence similarity or novelty compared to taxonomically related organisms.

DarkHorse is configurable for varying degrees of phylogenetic granularity and protein sequence conservation. Users should consult the references cited below for a complete explanation of parameter selection and result interpretation. A brief tutorial page is also available on-line.

Address of the bookmark: http://darkhorse.ucsd.edu/download.html

We developed a novel, self-contained technique named Near HGT, based on the synteny index, to measure the divergence of a gene from its native genomic environment and used it to identify candidate HGT events between closely related strains. The method confirms candidate transferred genes based on the constant relative mutability (CRM). Using CRM, the algorithm assigns a confidence score based on “unusual” sequence divergence. A gene exhibiting exceptional deviations according to both synteny and mutability criteria, is considered a validated HGT product. We first employed the technique to a set of three E. coli strains and detected several highly probable horizontally acquired genes. We then compared the method to existing HGT detection tools using a larger strain data set.

When combined with additional approaches our new algorithm provides richer picture and brings us closer to the goal of detecting all newly acquired genes in a particular strain.

Availability: The method is publicly available athttp://research.haifa.ac.il/~ssagi/software/nearHGT.zip

Address of the bookmark: http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004408

Address of the bookmark: https://fuma.ctglab.nl/

Applications are invited for a post in DST, India funded Project entitled: "Positive and negative impacts of macromolecular crowding agents during target site location by DNA binding proteins – origin of optimal search at physiological ionic concentration (Reference Number: ECR/2016/000188) ''. The selected candidate will be appointed purely on temporary basis, initially for two years as a JRF that may be extended to one year of SRF based on the performance.

Position: Junior Research Fellow (1)

Qualifications & Experience: Candidate must have a consistently good academic record with at least 60% marks in all throughout and must have qualified NET/GATE.

Desirable: Basic knowledge in the field of biophysics, molecular simulations and computational biology are desirable.

Salary: Consolidated Rs. 25,000 per month.

Tenure: The project duration is for three years and the selected candidate would be appointed after an interview. Appointment will be purely on temporary basis as stipulated by the existing rules of the University.

Interested candidates need to send an application to the address mentioned below mentioning the name of the project and post applied for (on the cover of the envelope).

The applications along with CV should be mailed at the address given below. Name, address, contact number and e. mail address of two referees must be enclosed with the application. The last date for the application is July 31st 2016.

Dr. Arnab Bhattacharjee (Principal Investigator)
Assistant Professor
School of Computational and Integrative Sciences
Jawaharlal Nehru University
New Delhi-110067
E-mail: arnab@jnu.ac.in

Note: 1. Only shortlisted candidates will be communicated to appear in the interview at SCIS, JNU and no other communications in this regard will be entertained.

2. No TA/DA will be paid for appearing in interview.

Address of the bookmark: https://forge.ird.fr/diade/dynadiv/grannot

More at http://ird.iitd.ac.in/sites/default/files/jobs/project/IITD-IRD-093-2016.pdf

EMBASSY applications are described in separate documentation for each package.

Applications in the current release

Address of the bookmark: http://emboss.sourceforge.net/apps/release/6.6/emboss/apps/

Fellowship: Rs. 18,000/- per month (fixed)

Duration : 2 (Two) years and may be extended
depending on status of the project

Age Limit: Candidates should not be more than 32 years of
age in case of SRF and 28 years of age in case of JRF and TA. Upper age limit may be relaxed up to 5
years in the case of candidate belonging to SC/ ST/ OBC/ Women/ Differently abled.

How to Apply:
Interested candidates may send their application on plain paper by post along with his/her educational
qualifications, research experience certificates (for SRF), 02 copies of recent passport/stamp size photographs
and contact phone number to Professor D.K Bhattacharyya, Principal Investigator, Department of Computer
Science & Engineering, Tezpur University, Napaam – 784 028, or mail it to dkb@tezu.ernet.in
(or to smh@tezu.ernet.in) within 15 days of publication of this advertisement.

No TA/DA shall
be paid for attending the interview.

For more details: http://www.tezu.ernet.in/ProjectWalkin/Advt-DoRD-CSE-DKB-20-225-6779-A.pdf

a) Scientist-B – UR (2 posts-Bioinformatics) on consolidated salary of Rs.48,000/- pm + HRA

b) Scientist C – UR (1 post -Bioinformatics) on consolidated salary of Rs. 51,000 pm+ HRA

c) Scientist B- UR (2 post-Statistics) on a consolidated salary of Rs.48,000/- pm +HRA

d) Computer Programmer 1 post UR & 1 post SC on a consolidated salary of Rs. 32,500/- pm

e) Research Assistant -UR 1 post on a consolidated salary of Rs. 31,000/- pm

More at https://projectjobs.icmr.org.in/sccbioinformatics/uploads/recruitment/Adv_BMI_24122020.pdf