BOL: Related items

JRF Bioinformatics at CUK

Sat, 28 Nov 2015 03:26:21 -0600

JRF job opportunity in Central University of Kerala (CUK) on temporary basis

Project Title : "Targeting TAL effector mediated susceptibility for durable and broad-spectrum resistance to bacterial blight in Rice"

No. of Post : 01

Qualification : MSc in any subject under Life Science or Bioinformatics/ B.Tech in Bioinformatics + 1 yr experience

Stipend : Rs. 14,000/-

How to apply

Interested candidates are requested to send their applications explaining their interest in the position with an updated CV to Dr. Ginny Antony, Assistant Professor, Department of Plant Science, School of Biological Sciences, Central University of Kerala, Padannakkad, Kasaragod, Kerala - 671 314 email: ginnycuk2013@gmail.com on or before 20th December, 2015.

More at http://cukerala.ac.in/index.php?option=com_content&view=article&id=1022:applications-invited-for-the-post-of-jrf-department-of-plant-science&catid=106&Itemid=593&lang=en

HECIL: A Hybrid Error Correction Algorithm for Long Reads with Iterative Learning

Abhimanyu Singh — Tue, 01 Jan 2019 12:01:00 -0600

HECIL—Hybrid Error Correction with Iterative Learning—a hybrid error correction framework that determines a correction policy for erroneous long reads, based on optimal combinations of decision weights obtained from short read alignments.

HECIL’s core algorithm by introducing an iterative learning paradigm that enhances the correction policy at each iteration by incorporating knowledge gathered from previous iterations via data-driven confidence metrics assigned to prior corrections.

Address of the bookmark: https://github.com/NDBL/HECIL

Assistant Professor - Computational Biology and Bioinformatics in Navi Mumbai

Fri, 04 Dec 2015 20:40:59 -0600

No. ACTREC / ADVT-A/2/2015
Pay in Pay band and Grade Pay : PB-3 (Rs 15,600-39,100) Pay in pay band Rs 21,900+ G.P. of Rs 7,600
Total emoluments = 82,000/- p.m. & nbsp
Educational Qualification : Ph.D. or MD/Ph.D.
Experience : Post MD / Ph.D. Research experience of 5 years The last date of application submission is January 15th, 2016.
Interested candidates shall send the applications through email: office.sao(at)actrec.gov.in.
For More Details : www.actrec.gov.in/data%20files/Vacancies/2015/Faculty-Positions-SOE-24-11-15.pdf

BEAR: Better Emulation for Artificial Reads

BioStar — Sat, 06 Jul 2024 04:27:53 -0500

Created by Stephen Johnson, Brett Trost, Dr. Jeffrey R. Long, Dr. Anthony Kusalik University of Saskatchewan, Department of Computer Science

BEAR is intended to be an easy-to-use collection of scripts for generating simulated WGS metagenomic reads with read lengths, quality scores, error profiles, and species abundances derived from real user-supplied WGS data.

Address of the bookmark: https://github.com/sej917/BEAR

ArrayGen Next Generation Genome Browser Coming Soon !!!

ArrayGen Technologies — Thu, 03 Dec 2015 05:52:09 -0600

The ANG genome browser is a visualization tool, developed by ArrayGen Technologies. This is a fast and an efficient genome browser, built with Javafx and Java swing. ANG genome browser was built for latest next generation sequencing data analysis. It is platform independent and much simpler to use.

The main features are, it supports many standard file formats such as GFF, BED, GTF, FASTA, VCF, BAM and it can be integrated with other browsers or tools for analysis of genome.

GTDB-Tk: A toolkit for assigning objective taxonomic classifications to bacterial and archaeal genomes.

Rahul Nayak — Wed, 22 Aug 2018 03:21:01 -0500

GTDB-Tk is a software toolkit for assigning objective taxonomic classifications to bacterial and archaeal genomes. It is computationally efficient and designed to work with recent advances that allow hundreds or thousands of metagenome-assembled genomes (MAGs) to be obtained directly from environmental samples. It can also be applied to isolate and single-cell genomes. The GTDB-Tk is open source and released under the GNU General Public License (Version 3).

GTDB-Tk is under active development and validation. Please independently confirm the GTDB-Tk predictions by manually inspecting the tree and bringing any discrepencies to our attention. Notifications about GTDB-Tk releases will be available through the ACE Twitter account (https://twitter.com/ace_uq).

Address of the bookmark: https://github.com/Ecogenomics/GTDBTk

SRF/JRF Bioinformatics at CIARI

Fri, 04 Dec 2015 00:10:09 -0600

Realizing the importance of Island Agriculture to meet the requirements of local population and tourists, Indian Council of Agricultural research (ICAR) established Central Island Agricultural Research Institute, Port Blair on June 23rd, 1978 by merging different regional research stations of ICAR institutes located in Islands. The ultimate aim of CIARI is the developments of island agricultural production technologies which utilizes the strengths of the island and convert the constraints in opportunities, without causing any ill effect to the fragile ecosystem of the island.The institute has made tremendous progress in the Agriculture development of the islands during the last three decades. Keeping in view the natural resources of the islands diversity, fragile ecosystem, research program would be designed to maximize the productivity without disturbing to the islands ecosystem to provide better and decent livelihood and as a source of revenue and resource generation. Research and development in Agriculture sector should cover all disciplines in order to have a balanced progress in all disciplines for the overall benefits of the farmers of these islands.

Position I

Job Title : Junior Research Fellow

No. of Posts : One

Project : Establishment of sub distributed information centre

Qualification : M.Sc in Basic Science with NET or B.Sc in professional course with NET or M.Sc in professional course

Desired Experience : Experience in Bioinformatics and molecular biology

Payscale : Rs. 25000 per month

Age Limit : Upto 35 for men and 40 for women with 5 years relaxation to SC/ST and 3 years relaxation for OBC.

Position II

Job Title : Traineeship

No. of Posts : One

Project : Establishment of sub distributed information centre

Qualification : B.Sc Bioinformatics /Biotechnology / Life Science / Computer Science

Desired Experience : Experience in Bioinformatics and molecular biology

Payscale : Rs. 8000 per month

Age Limit : Upto 35 for men and 40 for women with 5 years relaxation to SC/ST and 3 years relaxation for OBC.

Position III

Job Title : Studentship

No. of Posts : Two

Project : Establishment of sub distributed information centre

Qualification : B.Sc Bioinformatics /Biotechnology / Life Science / Computer Science

Desired Experience : Experience in Bioinformatics and molecular biology

Payscale : Rs. 8000 per month

Age Limit : Upto 35 for men and 40 for women with 5 years relaxation to SC/ST and 3 years relaxation for OBC.

How to Apply : Candidates who meet the requirements can attend the walk in interview at CIARI,Port Blair on 09.12.2015 10.30AM.

http://icar-ciari.res.in/employment/9-12-15.pdf

ProteoClade: A taxonomic toolkit for multi-species and metaproteomic analysis

Jit — Wed, 18 Mar 2020 14:27:20 -0500

ProteoClade is a Python library for taxonomic-based annotation and quantification of bottom-up proteomics data. It is designed to be user-friendly, and has been optimized for speed and storage requirements.

ProteoClade helps you analyze two general categories of experiments:

Targeted Database Searches: Experiments in which a limited number of species are defined ahead of time, such as those involving Patient-Derived Xenografts (PDXs) or host-pathogen interactions. Reference protein sequence databases are used for targeted searches (ex: using Mascot, MaxQuant).
De Novo Searches: Experiments in which the organisms are unspecified ahead of time or involve samples of high taxonomic complexity. Mass spectra are analyzed in the absence of a reference database (ex: using PEAKS, PepNovo).

ProteoClade scales from two organisms to every organism in UniProt. Please refer to the complete documentation at proteoclade.readthedocs.io for installation, a user's guide, and examples.

https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1007741

Address of the bookmark: https://github.com/HeldLab/ProteoClade

Post-doc position at LABGeM - Evry, France

Fri, 11 Dec 2015 06:24:00 -0600

The LABGeM team (CEA/Genoscope, CNRS UMR 8030, France, Dir. Claudine Médigue) is developing integrated approaches which combines bioinformatics methods based (i) on genomic and metabolic contexts, (ii) on an orignal metabolic network representation and (iii) on a structural classification of active sites for the discovery of new metabolic enzymatic activities.

We are hiring a post-doctoral fellow for the development of innovative bioinformatics methods to explore metabolic networks and enzyme families. These methods will be based on protein family analysis and graph approaches combining genomic and metabolic contexts.

For more details, please see this link : http://goo.gl/tHQOqk

Qualifications:
PhD degree in bioinformatics or computational biology
- Previous experience in network or protein family analysis
- Programming skills (C/C++, Python, Java) and in common biostatistical analyses
- Team player, innovative and creative thinking, good oral and written communication skills

24 months, Post Doctoral position
Start: from March 2016
Place: CEA, Genoscope UMR8030, LABGeM (Laboratory of Bioinformatics Analyses for Genomics and Metabolism), Evry, France
Contact: David Vallenet, vallenet@genoscope.cns.fr
Publications: https://scholar.google.com/citations?user=rJNPLSAAAAAJ
Remuneration per month: from 2,850 €

Interested candidates should send their CV, statement of research interests, and contact information of at least 2 references to David Vallenet (vallenet@genoscope.cns.fr).

Microscope

Jitendra Narayan — Fri, 04 Mar 2016 05:26:31 -0600

Microscope Platform user documentation.

The MicroScope platform is available at this URL:

https://www.genoscope.cns.fr/agc/microscope

Address of the bookmark: http://microscope.readthedocs.org/en/latest/index.html