BOL: Related items

Postdoctoral Fellowship at Department of Psychiatry, Warneford Hospital, Oxford

Tue, 01 Sep 2015 05:24:49 -0500

Applications are invited for a postdoctoral research assistant to work in the Translational Neuroscience and Dementia Research Group (TNDRG) on a project using informatics approaches to understand and prevent dementia, specifically on the role of the immune system in Alzheimer’s. The post is for a fixed-term duration of 1 year.

Working with other members of the TNDRG you will analyse complex genomic and epidemiological datasets, evaluating which computational tools are most suitable. You will contribute to the generation of innovative tools for linking epidemiological and multilevel omics datasets, ensuring that computer programs are written in a form that other collaborators can use and expand.

You will have or be close to completion of a PhD in either: bioinformatics; neuroscience; machine learning; statistics; epidemiology; neurology; or other relevant field. You will have experience programming on either R, Matlab, Python, C++, Java or any other imperative, object oriented or functional language.

Please direct Informal enquiries to Dr Alejo Nevado-Holgado (alejo.nevado-holgado@psych.ox.ac.uk).

You will be required to upload a supporting statement explaining how you meet the selection criteria for the post, a CV, and details of two referees as part of your online application.

The closing date for applications is 12.00 midday on 2 September 2015. Interviews will be held on Tuesday 15 September 2015.

https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec?p_id=118696

Cerulean: A hybrid assembly using high throughput short and long reads

Rahul Nayak — Tue, 05 Jun 2018 10:10:15 -0500

Cerulean extends contigs assembled using short read datasets like Illumina paired-end reads using long reads like PacBio RS long reads. Cerulean v0.1 has been implemented with bacterial genomes in mind. The method is fully described in Deshpande, V., Fung, E. D., Pham, S., & Bafna, V. (2013). Cerulean: A hybrid assembly using high throughput short and long reads. arXiv preprint arXiv:1307.7933. http://arxiv.org/abs/1307.7933

Address of the bookmark: https://sourceforge.net/projects/ceruleanassembler/

Walk-in-interview for SRF, JRF posts at Junagadh Agricultural University

Tue, 08 Sep 2015 11:58:09 -0500

Job Description: Walk-in-interview for SRF, JRF posts at Junagadh Agricultural University

Junagadh Agricultural University has given a recruitment notification to fill the posts of Senior, Junior Research Fellows in the establishment.

Name & No: of Posts:

1. Senior Research Fellow: 05
2. Junior Research Fellow: 05

Title of the Projects under Senior Research Fellow:

1. Molecular mapping of important traits and their transfer through marker assisted selection in Groundnut and cotton
2. Aflatoxin and its management in groundnut at Saurashtra region of Gujarat.
3. Improvement in Agricultural Production through nanotechnological inventions at Junagadh.
4. Synthesis and Characterisation of chitosan based NPK-Nano fertilizers

Title of the Projects under Junior Research Fellow:

1. Improvement in Agricultural Production Through Nanotechnological Inventions at Junagadh.
2. Synthesis and Characterisation of chitosan based NPK-Nano fertilizers

Required Eligibility Criteria:

1. Senior Research Fellow:

Age Limit: Candidates age must be maximum 35 years
Educational Qualification: M.Sc in Nanotechnology/Biotechnology/Bioinformatics
Salary: Rs. 16,000/- + HRA for first and second year, Rs. 18,000/- + HRA during third year

2. Junior Research Fellow:

Age Limit: Candidates age must be maximum 30 years
Educational Qualification: B.Sc or M.Sc degree in the field of Nanotechnology/Biotechnology
Salary: Rs. 9,600/- , Rs. 14,400/- p.m

Eligible candidates may attend the walk-in-interview on 10-09-2015 with necessary certificates of testimonials

Click Here for Detailed Recruitment Notification
http://www.jau.in/attachments/Advt/BiotechSRFJRF.pdf

FinisherSC:a repeat-aware tool for upgrading de novo assembly using long reads

Jit — Mon, 20 Aug 2018 04:08:50 -0500

Here is the command to run the tool:

python finisherSC.py destinedFolder mummerPath

If you are running on server computer and would like to use multiple threads, then the following commands can generate 20 threads to run FinisherSC.

python finisherSC.py -par 20 destinedFolder mummerPath

Sometimes, if the names of raw reads and contigs consists of special characters/formats, FinisherSC/MUMmer may not parse them correctly. In that case, you want to have a quick renaming of the names of contigs/reads in contigs.fasta or raw_reads.fasta using the following command.

    perl -pe 's/>[^\$]*$/">Seg" . ++$n ."\n"/ge' raw_reads.fasta > newRaw_reads.fasta
    cp newRaw_reads.fasta raw_reads.fasta
    perl -pe 's/>[^\$]*$/">Seg" . ++$n ."\n"/ge' contigs.fasta > newContigs.fasta
    cp newContigs.fasta contigs.fasta

Address of the bookmark: https://github.com/kakitone/finishingTool

Project Fellow at Indian Institute of Chemical Biology (IICB)

Tue, 22 Sep 2015 23:47:35 -0500

Advertisement No. : R&C/CD/427/2015 ,Vacancy Code: 4271501

Project Fellow Bioinformatics recruitment in Indian Institute of Chemical Biology (IICB) purely temporary

Name of the Project: "Genomics and Informatics Solutions for Integrating Biology(Genesis)".

No. of Vacancies: 1

Qualification required : M.Sc in Bioinformatics with 55% Marks.

Experience (Desirable): Candidate should be well versed with sequencing data analysis,assembly and annotation of whole genome sequence. Experience in transcriptional data analysis is also preferred.

Age Limit : 28 Years

Stipend : Rs.16000
How to apply
Interested candidates may appear for the walk-in-interview to be held on 28.09.2015 from 11.00 a.m. in the Red Carpet Room with the following documents self attested copy - (1) Matriculation Certificate in support of your date of birth, (2) Degree/Diploma Certificate, (3) Original reprints of all testimonials regarding educational qualification, (4) No Objection Certificate from the employer if employed, (5) Final Mark Sheet of M.Sc. Examination, (6) One Passport size photograph.

http://www.career.iicb.res.in/Recruitment%20Notice.php

LRCstats: a tool for evaluating long reads correction methods

Aaryan Lokwani — Wed, 22 Aug 2018 11:05:04 -0500

LRCstats is an open-source pipeline for benchmarking DNA long read correction algorithms for long reads outputted by third generation sequencing technology such as machines produced by Pacific Biosciences. The reads produced by third generation sequencing technology, as the name suggests, are longer in length than reads produced by next generation sequencing technologies, such as those produced by Illumina. However, long reads are plagued by high error rates, which can cause issues in downstream analysis. Long read correction algorithms reduce the error rate of long reads either through self-correcting methods or using accurate, short reads outputted by next generation sequencing technologies to correct long reads.

Address of the bookmark: https://github.com/cchauve/lrcstats

2 positions on the evolutionary analysis of biological sequences in Montpellier - France

Mon, 28 Sep 2015 08:25:48 -0500

The Methods and Algorithms for Bioinformatics (MAB) team at the LIRMM (computer science, robotics and microelectronics laboratory at the CNRS & University of Montpellier, France) is looking for talented individuals to fill two postdoctoral positions. We are seeking candidates with a strong background in computational evolutionary biology. The positions will start by the end of 2015.

The first of the positions (duration: 18-24 months), associated with the European VIROGENESIS project (http://www.kuleuven.be/english/research/EU/p/horizon2020/sc/sc1/Virogenesis), concerns the evolutionary analysis of viral sequences. Topics include -- but are not limited to -- phylogenetic classification of metagenomic reads and the recombination history of viruses.

The second position (duration: 1 year), associated with the Institute for Computational Biology (IBC, http://www.ibc-montpellier.fr), concerns evolutionary analyses of large-scale genomic data -- including the inference of very large phylogenies, gene/species tree reconciliation, comparative genomics, phylogenetic network inference and verification, phylogeography, the use of phylogenies to study the evolution of characters.

A one thousand year old city, Montpellier is a thriving research community with a multitude of biology and biomedical research centers. It is the fastest growing city in France where approximately one third of the population are students, and a wonderful location for outdoor activities (kite/wind surfing, sailing, river/sea kayaking, hiking and rock climbing). The LIRMM is one of the most visible computer science laboratories in France.

Rainbow: an integrated tool for efficient clustering and assembling RAD-seq reads

Rahul Nayak — Fri, 19 Oct 2018 08:23:42 -0500

Rainbow is developed to provide an ultra-fast and memory-efficient solution to clustering and assembling short reads produced by RAD-seq. First, Rainbow clusters reads using a spaced seed method. Then, Rainbow implements a heterozygote calling like strategy to divide potential groups into haplotypes in a top–down manner. And along a guided tree, it iteratively merges sibling leaves in a bottom–up manner if they are similar enough. Here, the similarity is defined by comparing the 2nd reads of a RAD segment. This approach tries to collapse heterozygote while discriminate repetitive sequences. At last, Rainbow uses a greedy algorithm to locally assemble merged reads into contigs. Rainbow not only outputs the optimal but also suboptimal assembly results. Based on simulation and a real guppy RAD-seq data, we show that Rainbow is more competent than the other tools in dealing with RAD-seq data

Address of the bookmark: https://sourceforge.net/projects/bio-rainbow/files/

SRF/JRF Bioinformatics at IARI

Sun, 29 Nov 2015 03:00:44 -0600

Agricultural Knowledge Management Unit

ICAR-INDIAN AGRICULTURAL RESEARCH INSTITUTE

L.B.S Building, Pusa Campus,

New Delhi-110012

Walk-in-Interview: 18th December 2015

DBT funded project: Distributed Information Centre under BTISnet (PI: Dr. A.K.Mishra)

Senior Research Fellow Two

Rs 28000/- + HRA

i) Master’s degree in Bioinformatics or Computer Science+ NET qualification and two years research experience, or

ii) M. Tech degree in Bioinformatics or Computer Science /Engineering with two years research experience Efficiency to handle agricultural databases and bioinformatics tool development

#Junior Research Fellow

Rs. 25000/- + HRA

i) Master’s degree in Bioinformatics or Computer Science + NET qualification, or

ii) M. Tech degree in Bioinformatics or Computer Science/Engineering Efficiency to handle agricultural databases and bioinformatics tool development

Traineeship Two

Rs. 8000/- consolidated

M.Sc./M. Tech (Bioinformatics) with 60 % marks from a recognized University

Studentship Four

Rs. 8000/- consolidated

Final year M.Sc./ M.Tech (Bioinformatics) Students from a recognized University

* M. Tech with Four Years Bachelor’s degree followed by Master’s degree

# In case suitable person is not found for SRF position, it may be filled at the JRF level The interview will be held on 18 th December 2015 at 10:00 AM at AKMU, LBS Building, IARI, Pusa Campus, New Delhi-110012. Terms and Conditions:  Maximum age limit is 35 years for all positions. Age relaxation of 5 yrs for SC/ST/OBC and woman candidates will be given.  The above post is purely temporary and is co-terminus with the project. The candidate shall not claim for regular appointment.  No TA/DA will be paid for attending the interview.  Bring self attested copies and originals of all certificates ( class 10th )onwards along with biodata in the attached format, proof of date of birth, one passport size photo, NOC from present employer, if any  Canvassing in any form will disqualify the candidate. 

Reporting time for interview: 9.30-10.00 AM at AKMU, IARI, New Delhi -110 012

www.iari.res.in/files/SRF_JRF_Akkmu-27112015-20151127-124003.pdf

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

Rahul Nayak — Sat, 06 Jul 2019 03:48:22 -0500

Flye is a de novo assembler for single molecule sequencing reads, such as those produced by PacBio and Oxford Nanopore Technologies. It is designed for a wide range of datasets, from small bacterial projects to large mammalian-scale assemblies. The package represents a complete pipeline: it takes raw PB / ONT reads as input and outputs polished contigs. Flye also includes a special mode for metagenome assembly.

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