BOL: Related items

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.

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

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

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/

RA Bioinformatics at NIPGR

Tue, 20 Oct 2015 04:11:56 -0500

Applications are invited from suitable candidates for filling up the purely temporary positions of one Research Associate (RA) and one Junior Research Fellow (JRF) in the DBT Part-B Sub-project-1&2 entitled Transcriptome and epigenome diversity analysis during seed development for discovery of molecular markers and gene regulatory mechanism in chickpea of Seed Biology

Research Associate (one post): Emoluments as per DST/DBT norms & as sanctioned in the project
Qualification: Candidates having Ph.D. degree (awarded) in Life Sciences/Molecular Biology/Bioinformatics or related field are eligible to apply.

Junior Research Fellow (one post): Emoluments as per DST/DBT norms & as sanctioned in the project
Qualification: Candidates having M.Sc. degree or equivalent (with minimum 55% marks) in Life Sciences, Biotechnolgy, Bioinformatics, Molecular Biology or any other related field are eligible to apply

Additional Information

Address:
Staff Scientist
National Institute of Plant Genome Research (NIPGR)
Aruna Asaf Ali Marg, P.O. Box NO. 10531,
New Delhi - 110067

States & U.T
State & Union Territories Delhi

How To Apply

Apply Details
Eligible candidates may apply by sending their complete application in the given format. The attested copies of the certificates and proof of research experience (if any) are to be attached with the hard copy of application. The applications should reach at the address given below within 15 days from the date of advertisement.

Web/Notification URL
http://www.nipgr.res.in/careers/vacancie s_latest.php

Hercules: a profile HMM-based hybrid error correction algorithm for long reads

Jit — Mon, 20 Aug 2018 14:14:11 -0500

Choosing whether to use second or third generation sequencing platforms can lead to trade-offs between accuracy and read length. Several studies require long and accurate reads including de novo assembly, fusion and structural variation detection. In such cases researchers often combine both technologies and the more erroneous long reads are corrected using the short reads. Current approaches rely on various graph based alignment techniques and do not take the error profile of the underlying technology into account. Memory- and time- efficient machine learning algorithms that address these shortcomings have the potential to achieve better and more accurate integration of these two technologies. Results: We designed and developed Hercules, the first machine learning-based long read error correction algorithm. The algorithm models every long read as a profile Hidden Markov Model with respect to the underlying platformtextquoterights error profile. The algorithm learns a posterior transition/emission probability distribution for each long read and uses this to correct errors in these reads. Using datasets from two DNA-seq BAC clones (CH17-157L1 and CH17-227A2), and human brain cerebellum polyA RNA-seq, we show that Hercules-corrected reads have the highest mapping rate among all competing algorithms and highest accuracy when most of the basepairs of a long read are covered with short reads. Availability:

Hercules source code is available at https://github.com/BilkentCompGen/Hercules

Address of the bookmark: https://github.com/BilkentCompGen/Hercules

Project Assistant BioInformatics

Mon, 02 Nov 2015 03:23:09 -0600

Project Assistant BioInformatics

Eligibility : ME/M.Tech(Bio-Informatics/Bio-Chemistry Engg), MSc(Bio-Informatics), BE/B.Tech

Location : Pune

Last Date : 16 Nov 2015

Hiring Process : Face to Face Interview

No. Bio/NCIM/3

Project Assistant II Jobs opportunity in National Chemical Laboratory (NCL) on temporary basis

Project Code No. : GAP312626

Title of the Project : Microbial ecology and distribution of geochemical cycling genes in an hot spring ecosystem

No. of Post : 01

Qualifications : M.Sc./B.Tech/M.Tech in Computational biology/ Bioinformatics from recognized university with minimum 60 % marks (aggregate)

Desirable : Good knowledge of computational skills, Linux (command line and GUI) and Unix; Perl / Python / R /C-programming. Practical knowledge of analysis of Next generation sequence datasets (amplicon sequencing, whole metagenome, and complete genome sequencing) with reference to microbes. Analysis and statistical validation of NGS data generated from different chemistry platforms. Some wet-lab experience in microbial system would be an added advantage as project involves some travel.

Emoluments : Rs. 16,000/-

Age Limit : 28 years

The application with the above information duly signed together with photo-copies of relevant certificates/testimonials should be addressed to : The Head, NCIM Resource Centre (Attn Dr. M.S. DHARNE), National Chemical Laboratory, Pune 411 008, so as to reach on or before 16th November 2015.

More at http://www.ncl-india.org/files/JoinUs/JobVacancies/TemporaryJobs.aspx?menuid=ql6&childmenustripid=divSubQL6

Rebaler: program for conducting reference-based assemblies using long reads.

Jit — Tue, 18 Sep 2018 07:52:41 -0500

Rebaler is a program for conducting reference-based assemblies using long reads. It relies mainly on minimap2 for alignment and Racon for making consensus sequences.

I made Rebaler for bacterial genomes (specifically for the task of testing basecallers). It should in principle work for non-bacterial genomes as well, but I haven't tested it.

Address of the bookmark: https://github.com/rrwick/Rebaler

Pre- or postdoctoral research fellowship in Structural Bioinformatics at Padova

Thu, 05 Nov 2015 22:15:12 -0600

A research fellowship for a software developer is available at the BioComputing UP Laboratory, University of Padova (URL: http://protein.bio.unipd.it/).
A highly motivated and creative candidate is sought to work on structural bioinformatics. Specifically, the project entails the development of novel methods, tools and databases for the analysis of protein structures.

The BioComputing UP Laboratory, headed by Prof. Silvio Tosatto, is a dynamic group of a dozen people working on several aspects of prediction of protein structure & function employing techniques at the intersection between biology, medicine, chemistry, physics & computer science.
Our aim is to integrate the development of novel methods and their application to biologically relevant problems.

We are looking for candidates with a solid Bioinformatics background, programming experience (Python, C++ and/or Java) and good knowledge of molecular biology (protein structure/function). Good knowledge of statistics as well as experience in using database systems (MongoDB, MySQL and/or Postgres) is desirable. Candidates should have a degree with top marks, optionally hold a PhD, and be highly motivated to work on interdisciplinary research. Good knowledge of English, an open-minded spirit, being collaborative and creative are crucial.

The fellowship, which should start as soon as possible, is renewable and initially for one year. It will be commensurate to experience, can be extended depending on performance and may lead to a PhD degree. The successful candidate will be working full-time at the BioComputing UP Laboratory, University of Padova. Travel support for conferences and/or research visits abroad is provided.
To apply, please send your CV, with a motivation letter and brief description of your research background as well as the names of two (or more) references to: biocomp@bio.unipd.it.

Start date: As soon as possible

Duration: 1 year, renewable

Salary on grant: Commesurate to experience

Contact Person (Referent): Silvio Tosatto

Ref. E-Mail: biocomp@bio.unipd.it

Tel: +39 049 827 6269
Fax: +39 049 827 6260

Group Web Page: http://protein.bio.unipd.it/

Deepbinner: a signal-level demultiplexer for Oxford Nanopore reads

Neel — Tue, 27 Nov 2018 03:38:49 -0600

Deepbinner is a tool for demultiplexing barcoded Oxford Nanopore sequencing reads. It does this with a deep convolutional neural network classifier, using many of the architectural advances that have proven successful in image classification. Unlike other demultiplexers (e.g. Albacore and Porechop), Deepbinner identifies barcodes from the raw signal (a.k.a. squiggle) which gives it greater sensitivity and fewer unclassified reads.

Reasons to use Deepbinner:
- To minimise the number of unclassified reads (use Deepbinner by itself).
- To minimise the number of misclassified reads (use Deepbinner in conjunction with Albacore demultiplexing).
- You plan on running signal-level downstream analyses, like Nanopolish. Deepbinner can demultiplex the fast5 fileswhich makes this easier.
Reasons to not use Deepbinner:
- You only have basecalled reads not the raw fast5 files (which Deepbinner requires).
- You have a small/slow computer. Deepbinner is more computationally intensive than Porechop.
- You used a sequencing/barcoding kit other than the ones Deepbinner was trained on.

Address of the bookmark: https://github.com/rrwick/Deepbinner