BOL: Related items

FOGSAA: Fast Optimal Global Sequence Alignment Algorithm

Jit — Fri, 08 Dec 2017 14:41:08 -0600

Sequence alignment algorithms are widely used to infer similarirty and the point of differences between pair of sequences. FOGSAA is a fast Global alignment algorithm. It is basically a branch and bound approach which starts branch expansion in a greedy way taking the symbols from the given pair of sequences (protein or nucleotide) and results in an optimal alignment faster than conventional dymanic programming techniques. It is also better than the heuristic methods with respect to alignment quality.

Address of the bookmark: http://www.isical.ac.in/~bioinfo_miu/FOGSAA.htm

M. D. University, Rohtak is looking for the post of Research Associate

Fri, 13 Nov 2015 02:56:48 -0600

M. D. University, Rohtak - Rohtak, Haryana
M. D. University, Rohtak is looking vacancies for the post of Research Associate

Project entitled: "Establish of Bioinformatics Facility for biology teaching through bioinformatics"

Name of post: Research Associate /Trainees

Number of post: 03

Educational Qualification and Experience: Candidates should have Ph D in relevant subjects with experience in handling computational biology resources and software

Selection mode: Walk in interview

How to apply?
Interested and eligible candidates may appear for a walk-in interview on 14th November 2015 at 11.00 am, in the office of Director, Centre for Bioinformatics along with CV and attested copies of all testimonials and additional qualifications.

Recruitment reference: http://www.mdurohtak.ac.in/pdf/career/adv_research_asso_dbt_bioinfo.pdf

lordFAST: sensitive and Fast Alignment Search Tool for LOng noisy Read sequencing Data

BioJoker — Tue, 27 Nov 2018 04:43:57 -0600

lordFAST is a sensitive tool for mapping long reads with high error rates. lordFAST is specially designed for aligning reads from PacBio sequencing technology but provides the user the ability to change alignment parameters depending on the reads and application.

lordFAST, a novel long-read mapper that is specifically designed to align reads generated by PacBio and potentially other SMS technologies to a reference. lordFAST not only has higher sensitivity than the available alternatives, it is also among the fastest and has a very low memory footprint.

Address of the bookmark: https://github.com/vpc-ccg/lordfast

Scientist E-II or F in Bioinformatics & Computational Biology at Rajiv Gandhi Centre for Biotechnology

Fri, 13 Nov 2015 03:10:32 -0600

Advt. No.RGCB Advt./SCI 2015/1

Rajiv Gandhi Centre for Biotechnology (RGCB) invites applications for the following three faculty scientist positions:

Scientist G in any of the following disciplines of disease biology: Cancer Research/Cardiovascular Biology/Diabetes Biology/Pathogen Biology
Scientist E-II or F in Bioinformatics & Computational Biology
Scientist E-I or E-II in Cancer Research with special emphasis on Human Papillomavirus Research

More at http://rgcb.res.in/wp-content/uploads/2015/11/APPLICATION-FORMAT-FOR-SCIENTISTS.docx

Post-doctoral position / Scientist (m/f/d) in Bioinformatics

Mon, 15 Mar 2021 11:34:23 -0500

The Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V. in Dortmund is looking for a Post-doctoral position / Scientist (m/f/d) in Bioinformatics

More at

https://www.isas.de/files/redaktion/jobs/2021/18.60.1_Postdoc_deNBI_06_21_AS.pdf

https://www.isas.de/en/news/062021-post-doctoral-position-scientist-mfd-in-bioinformatics

DAVI: Deep learning-based tool for alignment and single nucleotide variant identification

Jit — Tue, 16 Mar 2021 05:41:33 -0500

DAVI consists of models for both global and local alignment and for variant calling. We have evaluated the performance of DAVI against existing state-of-the-art tool sets and found that its accuracy and performance is comparable to existing tools used for bench-marking. We further demonstrate that while existing tools are based on data generated from a specific sequencing technology, the models proposed in DAVI are generic and can be used across different NGS technologies as well as across different species

https://iopscience.iop.org/article/10.1088/2632-2153/ab7e19/pdf

Address of the bookmark: https://github.com/gguptaiitd/NEAT

PostDoc position in Bioinformatics - IRCCS - Milan - Italy

Wed, 25 Nov 2015 03:38:38 -0600

PostDoc position in Bioinformatics

A full-time post-doctoral position for a bioinformatician with experience in managing and analyzing NGS data is available in the Laboratory of Molecular Cardiology at Policlinico San Donato-IRCCS, Milan, Italy. For lab publications, see: http://scholar.google.it/citations?user=wAPKO9wAAAAJ&hl=it&oi=ao

https://www.researchgate.net/profile/Fabio_Martelli

The goal of the project is investigating the regulation and functional role of non coding RNAs in tissue response to hypoxia and ischemia.

We are looking for a candidate that is going to interact with biologists and bioinformaticians to manage and analyze NGS data (mostly RNA-seq) and microarray data.

The successful candidate must have a minimum of 3 years experience in dealing with NGS data, a good command of English and written communication and at least 2 relevant publications as first author in peer reviewed international journals. The candidate is expected to interact with a small international group and to be able also to work independently. Knowledge of programming is a definitive plus, as well as a good statistical background and/or wet molecular biology skills.

Salary is proportional to experience and to the publication record (up to 38 000euro/year before taxes and retirement contribution i.e. IRPEF and INPS).

Please, send your CV by e-mail to Fabio Martelli:

fabio.martelli@grupposandonato.it

Location: Laboratory of Molecular Cardiology at Policlinico San Donato-IRCCS, Milan, Italy.
Link: https://www.researchgate.net/profile/Fabio_Martelli
Contact person: Fabio Martelli
Contact email: fabio.martelli@grupposandonato.it

ACANA: An accurate and consistent alignment tool for DNA sequences

Jit — Wed, 06 Dec 2017 09:45:29 -0600

ACANA is an accurate and consistent alignment tool for DNA sequences. ACANA is specifically designed for aligning sequences that share only some moderately conserved regions and/or have a high frequency of long insertions or deletions. It attempts to combine the best of local and global alignments algorithms in searching for evolutionarily related regions of sequences in order to achieve the best alignment. ACANA is also robust to the small changes of alignment parameters, particularly the gap extension score. As an accurate alignment tool, ACANA is particularly useful in comparative sequence analysis for identifying conserved functional regulatory elements.

Address of the bookmark: https://www.niehs.nih.gov/research/resources/software/biostatistics/acana/index.cfm

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

zPicture: A dynamic blastz alignment visualization

Archana Malhotra — Tue, 30 Jan 2018 16:03:08 -0600

zPicture is a dynamic alignment and visualization tool that is based on blastz alignment program utilized by PipMaker. zPicture alignments can be automatically submitted to rVista 2.0 to identify conserved transcription factor binding sites.

Address of the bookmark: https://zpicture.dcode.org/