Usage: perl run_rcorrector.pl [OPTIONS]
OPTIONS:
	Required
	-s seq_files: comma separated files for single-end data sets
	-1 seq_files_left: comma separated files for the first mate in the paried-end data sets
	-2 seq_files_right: comma separated files for the second mate in the paired-end data sets
	-i seq_files_interleaved: comma sperated files for interleaved paired-end data sets
	Optional
	-k INT: kmer_length (<=32, default: 23)
	-od STRING: output_file_directory (default: ./)
	-t INT: number of threads to use (default: 1)
	-trim : allow trimming (default: false)
	-maxcorK INT: the maximum number of correction within k-bp window (default: 4)
	-wk FLOAT: the proportion of kmers that are used to estimate weak kmer count threshold, lower for more divergent genome (default: 0.95)
	-ek INT: expected number of kmers; does not affect the correctness of program but affects the memory usage (default: 100000000)
	-stdout: output the corrected reads to stdout (default: not used)
	-verbose: output some correction information to stdout (default: not used)
	-stage INT: start from which stage (default: 0)
		0-start from begining(storing kmers in bloom filter) ;
		1-start from count kmers showed up in bloom filter;
		2-start from dumping kmer counts into a jf_dump file;
		3-start from error correction.

Address of the bookmark: https://github.com/mourisl/Rcorrector/

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

More at https://www.biorxiv.org/content/10.1101/2020.03.14.992248v3

Address of the bookmark: https://github.com/marbl/canu

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/

mixtureS that can de novo identify bacterial strains from shotgun reads of a clonal or metagenomic sample, without prior knowledge about the strains and their variations. Tested on 243 simulated datasets and 195 experimental datasets, mixtureS reliably identified the strains, their numbers and their abundance. Compared with three tools, mixtureS showed better performance in almost all simulated datasets and the vast majority of experimental datasets.

Address of the bookmark: http://www.cs.ucf.edu/~xiaoman/mixtureS/

LAST can:

• Handle big sequence data, e.g:
  • Compare two vertebrate genomes
  • Align billions of DNA reads to a genome
• Indicate the reliability of each aligned column.
• Use sequence quality data properly.
• Compare DNA to proteins, with frameshifts.
• Compare PSSMs to sequences
• Calculate the likelihood of chance similarities between random sequences.
• Do split and spliced alignment.
• Train alignment parameters for unusual kinds of sequence (e.g. nanopore).

Address of the bookmark: http://last.cbrc.jp/

PGIMER

Chandigarh

invites application for a project dissertation program for students who have completed their first year of M.Sc. in Bioinformatics.

This is an exciting opportunity for Master's students to train in modern methods in Bioinformatics. The duration of the training will be four to six months, starting from January 2016.

Education: Pursuing M.Sc. Bioinformatics

Essential: Post graduate applicants should have completed their first year and should be in the third semester or first half of the second year.

Only students who are willing to spend a minimum period of 4 months to a maximum of six months, without any break, would be eligible for the program.

How to Apply: Candidates interested in the above project dissertation program should apply online. Send your CV, Scanned copy of letter of recommendation from Head of Institution along with Registration form in the given format should be sent to: info@bicpgi.org

Please mention clearly “Project dissertation & your Name” in the Subject.

The last date for application is December 23, 2015

Note: Selected candidates may please note that the program is free of cost and would not provide any financial aid for transport and stay. Name of the selected candidates would be posted on the centre website by December 31, 2015.

Incomplete applications will be rejected.

For more information visit our website: http://bic-pgi.org/

1. Co-assembly procedure with read mapping for estimation of the abundances of genes in each metagenome
2. Co-assembly of a large number of metagenomes via merging of individual metagenomes
3. Includes binning and bin checking, for retrieving individual genomes
4. The results are stored in a database, where they can be easily exported and shared, and can be inspected anywhere using a web interface.
5. Internal checks for the assembly and binning steps inform about the consistency of contigs and bins, allowing to spot potential chimeras.
6. Metatranscriptomic support via mapping of cDNA reads against reference metagenomes

Address of the bookmark: https://github.com/jtamames/SqueezeMeta

Jamia Hamdard New Delhi - 110062 Additional Information States & U.T State & Union Territories Delhi How To Apply Apply Details
Last date of application: December 5, 2015 Web/Notification URL http://www.jamiahamdard.ac.in/

https://nxrepair.readthedocs.io/en/latest/tutorial.html

nxrepair aligned_matepairs.bam assemblyfasta.fasta error_locations.csv new_fasta.fasta

Address of the bookmark: https://github.com/rebeccaroisin/nxrepair