BOL: Related items

Walk in interview for Research Associate, Studentship and Traineeship at BIF, NEHU, Tura Campus

Thu, 18 Dec 2014 11:02:05 -0600

BIOINFORMATICS INFRASTRUCTURE FACILITY (BIF)
Department of RDAP
North-Eastern Hil University, Tura Campus
Tura-79402, Meghalaya

Walk in interview for Research Associate, Studentship and Traineeship at BIF

Applications are invited for the Post of Research Associate, Traineeship and Studentship in the DBT sponsored Bioinformatics Infrastructure Facility (BIF) at the Bioinformatics Centre, Department of RDAP, North-Eastern Hil University, Tura Campus, Tura-79402, Meghalaya. The Posts are purely temporary and terminable at any time without prior notice or assigning any reason thereof. The person engaged, shall not be entailed for any claim implicit or explicit for permanent absorption in the University.

Research Associate- 01

Essential Qualification: M.Sc. in Bioinformatics/Biotechnology from a recognized University/ institute.

Desirable: PhD or Pursuing PhD in the relevant subject(s) or equivalent published work in reputed peer reviewed journals or Advance PG diploma in Bioinformatics courses.

Duties: Creation of database, web designing, maintenance of internet, training of students in Bioinformatics, handling and knowledge of Bioinformatics software tools and technique, conducting Bioinformatics based research and other day to day laboratory work, writing report and scientific papers.

Pay:Rs. 2,00/- + Admissible 10% HRA per month

Age: Below 35 years

Traineeship- 02

Students who have completed Masters Degree in Bioinformatics/Biotechnology or any branch of Life Sciences/Agricultural Sciences/Computer Science to cary out a project work in Bioinformatics.

Desirable: Prior Knowledge of programming languages such as C, JAVA, MySQL is preferable.

Stipend: Rs. 800/- p.m. fixed. Purely temporary for a period of six months.

Studentship: 02

Students pursuing postgraduate degree in Bioinformatics/biotechnology/Agricultural Sciences or any branch of Life Science

Desirable: Prior knowledge of bioinformatics/ programming language is preferable.

Stipend: 800/- p.m. fixed. Purely temporary for a period of six months.

Candidates must send the detailed Biodata via mail/post and bring al the relevant documents in original and one set of attested photocopies of the same at the time of interview. No TA/DA will be paid for attending the interview and candidates have to make their own arrangements.

Last date for receiving application by mail or by post: 16.02.2014

Contact Information:
Dr.B.K. Mishra
Cordinator BIF,
RDAP Department, NEHU, Tura Campus
Phone: 91-03651-23107
Fax: 91-03651-23953
E-mail: drbkm1972@yaho.co.in, birendramishra14@gmail.com

Advertisement: http://www.nehu.ac.in/Advertisements/BIF_TuraAdtvPV_171214.pdf

GeneProf: analysis of high-throughput sequencing experiment

Jit — Wed, 05 Jul 2017 16:47:05 -0500

GeneProf is a web-based, graphical software suite that allows users to analyse data produced using high-throughput sequencing platforms (RNA-seq and ChIP-seq; "Next-Generation Sequencing" or NGS): Next-gen analysis for next-gen data!

Some of GeneProf's highlights include:

Easy-to-use web-based interface:Access your data at any time from any computer with a working internet connection -- no need to install software! (cp. Section 'System Requirements').
Analysis wizards make your life easy:Step-by-step workflows make it easy to analyse high-throughput data within a minimum of hands-on time. (cp. SubConcept 'Analysis Wizards').
Versatile modules:Advanced users and data analysis experts benefit from GeneProf's broad range of analysis modules, which can be combined freely into sophisticated workflows (cp. Concept 'Workflows').
Integrated Analysis:Analysis of ChIP-seq and RNA-seq data in one place, plus support for the integration of other external data (e.g. from microarrays).
Comprehensive Resource:GeneProf provides a comprehensive resource of fully analyzed next-generation sequencing data. Experimental results can be easily accessed and compared and the analysis procedures employed to produce the data are fully transparent (cp. Tutorial 'Examining Public Next-Gen Data..').
Extensibility:Algorithm developers and computer programmers can develop their own modules and extend GeneProf. Existing software can be easily wrapped in the workflow framework (cp. Section 'Module Development: Adding new..') and data from GeneProf may be used externally (cp. Section 'Web API: Retrieving Data from ..').

GeneProf is academic software developed at the Centre for Regenerative Medicine / Institute for Stem Cell Research, University of Edinburgh and has benefited from funding by the Medical Research Council and the EU Framework 7 Project "EuroSyStem".

Address of the bookmark: https://www.geneprof.org/GeneProf/index.jsp

Assistant Professor at GAUHATI UNIVERSITY, GUWAHATI

Tue, 16 Dec 2014 01:15:30 -0600

Advt. No.T/2014/4

Ref. No. GU/Estt/T/308(VI)/2014/6451-61

Applications are invited from the Indian citizens for five (5) teaching posts of Assistant Professor (Contractual) under various departments of Gauhati University. Details of the advertisement, other terms and conditions and the application forms are available in the University website www.gauhati.ac.in

Asstt. Professor (Contractual)

2. M.Sc. Microbiology Course in Botany

3 1.M.Sc. Microbiology/M.Sc. Botany (Specialization in Microbiology)/M.Sc. Biochemistry (1 post). (Preference will be given to candidates having experience in Biochemistry).

2.M.Sc. Microbiology/M.Sc. Botany (Specialization in Microbiology)/M.Sc. Biotechnology(1 post). (Preference will be given to candidates having experience in Bioinformatics).

3.M.Sc. Microbiology/M.Sc. Botany (Specialization in Microbiology)/M.Sc. Biotechnology(1 post). (Preference will be given to candidates having experience in Microbial Genetics).

As per UGC norms

Pay Band & Academic Grade Pay : (Consolidated pay) : Rs. 21,600/- per month

Application Form : Prescribe application form may download from the G.U. website www.gauhati.ac.in

Last date of receipt of filled-in application is 08.01.2015.

Advertisement: www.gauhati.ac.in/openfile.php?file=Notice1258.pdf

INC-Seq: accurate single molecule reads using nanopore sequencing

Jit — Mon, 27 Nov 2017 10:38:56 -0600

INC-Seq reads enabled accurate species-level classification, identification of species at 0.1 % abundance and robust quantification of relative abundances, providing a cheap and effective approach for pathogen detection and microbiome profiling on the MinION system.

Address of the bookmark: https://github.com/CSB5/INC-Seq

China University of Macau PhD Position 2015 in Bioinformatics, Computer Science

Mon, 22 Dec 2014 00:12:49 -0600

The Computational Biology and Bioinformatics Group at the University of Macau is inviting applications for PhD Position. Applicants will work on a research project focusing on the flexible receptor protein-ligand docking algorithms for computer-aided drug design. The candidate will be working as part of a team in developing novel metaheuristic algorithms and scoring functions for large-scale, highly flexible protein-ligand docking problems. The duration of this PhD position is 2-3 years, starting in August 2015. Remuneration paid to candidate is MOP 11000-14000/month (~USD 1375-1750/month). The applications should be submitted before March 2015.

Study Subject(s): PhD position is award in the field of Bioinformatics/Computer Science.
Course Level: Position is available for pursuing PhD degree level at the University of Macau.
Scholarship Provider: University of Macau
Scholarship can be taken at: China

Eligibility: The ideal candidate would be a master degree holder in Bioinformatics or related disciplines with knowledge in Medical sciences or Life sciences (with GPA of at least 3.0 on a 4-point scale or equivalent) . Knowledge in programming (C and C++) and Linux scripting are necessary; experience in molecular docking, molecular dynamics simulations or molecular modeling is an advantage. The candidate should be fluent in spoken and written English; preference will be given to applicants with good publication records in relevant areas.

Scholarship Open for International Students: Researchers from China can apply for this PhD position.

Scholarship Description:

The Computational Biology and Bioinformatics Group at the University of Macau is looking for a motivated PhD student in Bioinformatics or Computer Science to work on a research project focusing on the flexible receptor protein-ligand docking algorithms for computer-aided drug design. The candidate will be working as part of a team in developing novel metaheuristic algorithms and scoring functions for large-scale, highly flexible protein-ligand docking problems.

Number of award(s): There is only one PhD position available.

Duration of award(s): The duration of this PhD position is 2-3 years.

What does it cover? Remuneration paid to candidate is MOP 11000-14000/month (~USD 1375-1750/month).

Selection Criteria: Not Known

Notification: Not Known

How to Apply: Send your current CV, your academic transcripts, a letter of motivation and research interests, two letters of recommendations from academic faculty to Dr. Shirley Siu at shirleysiu[at]umac.mo before March 2015.

Scholarship Application Deadline: The applications should be submitted before March 2015.

Ra assembler - a de novo DNA assembler for third generation sequencing data

biogeek — Wed, 27 Dec 2017 20:36:54 -0600

Integration of the Ra assembler - a de novo DNA assembler for third generation sequencing data developed on Faculty of Electrical Engineering and Computing (FER), Ruder Boskovic Institute (RBI) and Genome Institute of Singapore (GIS).

Ra is in development since 2014 in the form of several separate components that used to be run individually.
This project aims to ease the usage of Ra by integrating it into a complete de novo assembly tool.

Unlike other state-of-the-art assemblers, Ra does not have an error correction step. Instead, it relies on detecting overlaps using a very sensitive and specific overlapper ("graphmap -w owler", https://github.com/isovic/graphmap) and constructing and reducing an overlap graph (Ra layout, https://github.com/mariokostelac/ra).

Address of the bookmark: https://github.com/mariokostelac/ra-integrate/

JNU Neuroscience/Systems Biology/Mathematical modeling JRF Vacancies

Fri, 26 Dec 2014 11:22:20 -0600

School of Computational and Integrative Sciences
Jawaharlal Nehru University
New Delhi 110067

Recruitment for Project

Applications were invited from the citizens of India for filling up the following temporary position for the CSIR sponsored Fellowship in the School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi 110067. This position is temporary for a period of two and half years or tenable only for the duration of the project. The requisite qualifications & experience are given below.

Project Title : "Understanding Complex dynamics and Information processing in Brain Networks"
Funding Agency : CSIR

Principal Investigator : Dr. R.K. Brojen Singh

Position : Junior Research Fellow(One post)

Salary : As per CSIR rules and guidelines for JRF.

Qualifications & Experience : M.Sc. in Physics/Mathematics/Biology/B.Tech. In Eng. Physics/Comp. Sc. and desirable CSIR-UGC NET Qualified. Candidates should also have at least one years research experience after M. Sc./B.Tech. in works related to Neuroscience/Mathematical modeling.

Candidates possessing requisite qualifications may apply either on plain paper stating the project title along with CV and send to the following address or send as email attachment (pdf or word format) so as to reach on or before 8 January, 2014.

Dr. R.K. Brojen Singh
School of Computational and Integrative Sciences
Jawharlal Nehru University
New Delhi 110067
Email: brojen@jnu.ac.in, brojen@mail.jnu.ac.in

Flye: Fast and accurate de novo assembler for single molecule sequencing reads

Jit — Fri, 04 May 2018 19:16:22 -0500

Flye is a de novo assembler for long and noisy reads, such as those produced by PacBio and Oxford Nanopore Technologies. The algorithm uses an A-Bruijn graph to find the overlaps between reads and does not require them to be error-corrected. After the initial assembly, Flye performs an extra repeat classification and analysis step to improve the structural accuracy of the resulting sequence. The package also includes a polisher module, which produces the final assembly of high nucleotide-level quality.

Address of the bookmark: https://github.com/fenderglass/Flye

Circlator: automated circularization of genome assemblies using long sequencing reads

Poonam Mahapatra — Tue, 15 May 2018 09:42:32 -0500

A tool to circularize genome assemblies. The algorithm and benchmarks are described in the Genome Biology manuscript. Citation: "Circlator: automated circularization of genome assemblies using long sequencing reads", Hunt et al, Genome Biology 2015 Dec 29;16(1):294. doi: 10.1186/s13059-015-0849-0. PMID: 26714481.

Address of the bookmark: http://sanger-pathogens.github.io/circlator/

Illumina Smartphone Chip !!!

Robert M Willioms — Tue, 30 Dec 2014 23:19:54 -0600

Illumina, the company that claims it brought human genome sequencing down to $1000 prices, has now turned its attention to a consumer product - a chip that you can plug into your smartphone and have it read your genetic information.

The biggest challenge ahead of Illumina is simplifying the process of genetic sequencing. Currently, Illumina’s DNA sequencers are gigantic machines that use techinques like colorimetry to work, but while the core technology is computational, it takes some 30 steps to extract genetic data and run it through. This process will likely have to be hugely simplified on mobile devices, given the fact that some studies require extracting 10 mililiters of blood. Illumina researchers are also working on finding the optimal technology for this on-chip DNA sequencing - be it electrical, optical, or other.

Illumina is one of the most prominent names in genetics, often said to be the Intel of genetic sequencing, as just like Intel it provides the algorithms, the processing brain that runs a DNA reading task.

In other recent smartphone-related biotech news, drug company Pfizer launched its REMOTE project, a new type of clinical trial that does not require going to a hospital for checks - targeted at patients with overactive bladder problems, the FDA-approved REMOTE project allowed to gather data from patients from over 10 states remotely, via mobile devices.

This is indeed the Illumina answer to Apple's Health app, HealthBook, Google HealthFit.