BOL: Related items

Senior Technical Assistant at Pondicherry University

Wed, 17 Jun 2015 20:46:12 -0500

Senior Technical Assistant

Eligibility : BE/B.Tech(CSE, ECE, IT)

Location : Pondicherry

Last Date : 26 Jun 2015

Hiring Process : Face to Face Interview
Pondicherry University - Job DetailsDate of posting:19 May 15

Senior Technical Assistant Job position in Pondicherry University on temporary basis

Project Title : "Bioinformatics National Certification (BINC) for certifying quality human resource in Bioinformatics"

Qualification : i) B.E/ B.Tech Computer Science/ Electronics & Communication Engineering/ Information Technology with 55% or equivalent marks. ii) One year Experience in relevant field in Government/ Public Sector or reputed Private Organizations. Desirable : Working experience in JSP and ASP/PHP

No. of Post : 01

Department : Biotechnology

Pay : Rs. 27,800/-

Age Limit : 30 Yrs
How to apply

Both above-mentioned posts are purely on temporary basis, extended by one year based on performance and will be terminated with the completion of BINC Program at Pondicherry University. Interested Candidates may send their application in the prescribed format with self-attested copies of all mark sheets and certificates to Dr. Basant K. Tiwary, Coordinator (BINC), Centre for Bioinformatics, Pondicherry University, Puducherry-605 014 before June 26, 2015.

Click Here http://www.pondiuni.edu.in/news/requirement-post-one-senior-technical-assistant-one-computer-assistant-–-dept-biotechnologygove

Genome Assembly Workshop 2020

Jit — Wed, 25 Aug 2021 04:30:32 -0500

Our team offers custom bioinformatics services to academic and private organizations. We have a strong academic background with a focus on cutting edge, open source software. We replicate standard analysis pipelines (best practices) when appropriate, and/or develop novel applications and pipelines when needed, however we always emphasize biological interpretation of the data.

More at https://ucdavis-bioinformatics-training.github.io/

Address of the bookmark: https://ucdavis-bioinformatics-training.github.io/2020-Genome_Assembly_Workshop/snakemake/snakemake_intro

How long have you been a bioinformatics scientist for?

Jit — Tue, 23 Jun 2015 10:55:33 -0500

Most of the researcher have been a scientist whole life, but infact they actually started paying it with at certain time.So, how long have you been in bioinformatics domain now?

Peregrine & SHIMMER Genome Assembly Toolkit

Abhi — Thu, 16 Dec 2021 02:50:19 -0600

Peregrine is a fast genome assembler for accurate long reads (length > 10kb, accuracy > 99%). It can assemble a human genome from 30x reads within 20 cpu hours from reads to polished consensus. It uses Sparse HIereachical MimiMizER (SHIMMER) for fast read-to-read overlaping without quadratic comparisions used in other OLC assemblers.

Address of the bookmark: https://github.com/cschin/Peregrine

RA Bioinformatics at ICGED

Sun, 28 Jun 2015 12:24:01 -0500

Research Associate Position at ICGEB, New Delhi with Dr. Amit Sharma

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

Comparative Genomics Workshops !

Rahul Nayak — Tue, 25 Jan 2022 20:39:58 -0600

This meeting's objective was to obtain a big picture look at the current state of the field of comparative genomics with a focus on commonalities across genomic investigations into humans, model organisms (both traditional and non-traditional), agricultural species, wildlife species and microbes.

https://www.genome.gov/event-calendar/perspectives-in-comparative-genomics-and-evolution

Address of the bookmark: https://www.genome.gov/event-calendar/perspectives-in-comparative-genomics-and-evolution

OpenCPU

Rahul Nayak — Sun, 05 Jul 2015 18:34:46 -0500

OpenCPU is a system for embedded scientific computing and reproducible research. The OpenCPU server provides a reliable and interoperable HTTP API for data analysis based on R.

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/

Environmental Genomics Group SciLifeLab/KTH Stockholm

BioStar — Thu, 01 Dec 2022 01:12:43 -0600

Useful Metagenomics resources

Address of the bookmark: https://github.com/envgen

Research Associate Bioinformatician @ University of Bristol

Wed, 26 Aug 2015 05:46:29 -0500

This 0.5 fte role will have specific responsibility for the bioinformatic side of a Health Innovation Challenged Fund (HICF) research project investigating the application of Next Generation Sequencing (NGS) technologies to the analysis of Minimal Residual Disease (MRD) in childhood Acute Lymphoblastic Leukaemia (ALL). The successful candidate will be responsible for designing and implementing an analysis pipeline primarily to fit with the clinical need, but with the capacity to answer innovative research questions.

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

NCBI Datasets pages

BioStar — Wed, 12 Jul 2023 06:29:31 -0500

Update! Assembly and Genome record pages now redirect to new NCBI Datasets pages. NCBI Datasets is a new resource that makes it easier to find and download genome data. Learn more: https://ncbiinsights.ncbi.nlm.nih.gov/2023/07/11/ncbi-datasets-genome-assembly-pages/ #NCBICGR

Effective July 10, 2023, NCBI’s Assembly and Genome record pages now redirect to new NCBI Datasets pages. As previously announced, these updates are part of our ongoing effort to modernize and improve your user experience. NCBI Datasets is a new resource that makes it easier to find and download genome data.  

The following pages have been updated:

The NCBI Assembly record pages now redirect to the new NCBI Datasets Genome record pages that describe assembled genomes and provide links to related NCBI tools such as Genome Data Viewer and BLAST. 
The NCBI Genome record pages now redirect to the NCBI Datasets Taxonomy record pages that provide a taxonomy-focused portal to genes, genomes, and additional NCBI resources.

During this transition, you will have the option to return to the legacy Genome and Assembly record pages. We will remove the legacy pages in early 2024. 