BOL: Related items

QuasiModo - Quasispecies Metric Determination on Omics

Neel — Sat, 26 Jun 2021 15:22:56 -0500

This repository contains the scripts and pipeline that reproduces the results of the HCMV benchmarking study. In this study we evaluated genome assemblers and variant callers on 10 in vitro generated, mixed strain HCMV sequence samples, each consisting of two lab strains in different abundance ratios. This tool can also be used to evaluate assemblies and variant calling results on other similar datasets.

https://academic.oup.com/bib/article/22/3/bbaa123/5868070

Address of the bookmark: https://github.com/hzi-bifo/Quasimodo

Proksee

LEGE — Wed, 27 Mar 2024 11:11:54 -0500

Proksee is an expert system for genome assembly, annotation and visualization. To begin using Proksee, provide a complete genome sequence, sequencing reads or a CGView/Proksee map JSON file.

Please Cite the Following

Grant JR, Enns E, Marinier E, Mandal A, Herman EK, Chen C, Graham M, Van Domselaar G, and Stothard P

Proksee: in-depth characterization and visualization of bacterial genomes

Nucleic Acids Research, 2023, gkad326, https://doi.org/10.1093/nar/gkad326

Address of the bookmark: https://proksee.ca/

Senior Bioinformatics Scientist @ Strand Life Sciences -- Bangalore, India

Wed, 02 Jan 2019 09:23:49 -0600

RESPONSIBILITIES
The candidate is expected to work on a variety of projects related to analysis of data from NGS, Mass Spectrometry, Flow Cytometry and other related modalities. The position expects hands-on work and a strong eye for detail. The candidate will be able to contribute to impactful work spanning patient care, clinical research, and new assay and method development.
REQUIREMENTS
A PhD in a quantitative field (statistics, math, bioinformatics, computer science, physics or similar) and work experience or post-doc experience handling high throughout genomics data.
PREFERENCES
Experience in working in inter-disciplinary groups and ability to author research publications are additional desired qualities.
LOCALE
The position is in Bangalore and reports to the Chief Scientific Officer.
HOW TO APPLY
Write to ramesh[at]strandls.com.

Genomic Impact

Jitendra Narayan — Wed, 10 Jul 2013 01:33:50 -0500

The ongoing genomic research in USA contributed $31 billion to the U.S. gross national product and helped support 152,000 jobs.

Reference: http://www.unitedformedicalresearch.com/wp-content/uploads/2013/06/The-Impact-of-Genomics-on-the-US-Economy.pdf

Machine learning training and courses in bioinformatics !

Rahul Nayak — Tue, 31 Dec 2019 19:33:07 -0600

Machine learning techniques have been successful in analyzing biological data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. In this class, we will learn basics about probabilistic models and machine learning techniques. We will focus on probabilistic models (Markov models, Hidden Markov models, and Bayesian networks) for biological sequence analysis and systems biology. Other machine learning techniques, such as Naive bayes, neural networks and SVMs will only be covered briefly.

More at http://homes.sice.indiana.edu/yye/lab/teaching/spring2017-I529/

Bioinformatician on Valentine's Day

BioQueen — Sun, 14 Feb 2021 11:36:32 -0600

Once asked to a bioinformatician "How is ur Valentine's Day?"

Bioinformatician replied:
if ($date == "Valentine's Day" && $me =! Bioinformatician) {
rose_day(); promise_day(); kiss_day();
}
else {
hack_genome(); ko-fi(); youtube(); do_scripting(); sleep();
)

The Centre for Bioinformatics, Biomarker Discovery and Information-Based Medicine (CIBM)

Sun, 14 Jul 2013 12:31:38 -0500

The Centre for Bioinformatics, Biomarker Discovery and Information-Based Medicine (CIBM) is committed to shortening the process of obtaining novel discoveries to achieve distinctively better outcomes in clinical practice and translational individualised medicine.

Link @ http://www.newcastle.edu.au/research-and-innovation/centre/cibm/about-us

Sequence Ontology Bioinformatics Analysis (SOBA) tool to provide a simple statistical and graphical summary of an annotated genome

BioStar — Wed, 22 Jul 2020 10:11:13 -0500

We have developed the Sequence Ontology Bioinformatics Analysis (SOBA) tool to provide a simple statistical and graphical summary of an annotated genome. We envisage its use during annotation jamborees, genome comparison and for use by developers for rapid feedback during annotation software development and testing. SOBA also provides annotation consistency feedback to ensure correct use of terminology within annotations, and guides users to add new terms to the Sequence Ontology when required. SOBA is available at http://www.sequenceontology.org/cgi-bin/soba.cgi.

More at https://pubmed.ncbi.nlm.nih.gov/20494974/

Address of the bookmark: http://www.sequenceontology.org/cgi-bin/soba.cgi

BioRuby :Ruby packages for biologist

Jitendra Narayan — Mon, 15 Jul 2013 01:36:28 -0500

BioRuby is a package of Open Source Ruby code, with classes for DNA and protein sequence analysis, alignment, database parsing, and other Bioinformatics tools.
BioRuby project provides an integrated environment in bioinformatics for the Ruby language. This project is supported by University of Tokyo (Human Genome Center), Kyoto University(Bioinformatics Center) and the Open Bio Foundation. The project was supported by Information-technology Promotion Agency (IPA) as an Exploratory Software Project in 2005
RubyForge is a home for open source Ruby projects: RubyForge is a home for open source Ruby projects. BioRuby project was started in late 2000, and is still in progress. Currently, there are over 80 files and 15,000 lines (except comment-only lines) in our source code. This might be equivalent to twice or more lines of other languages because of Ruby's extremely high descriptive power.

Classes for
Multiple alignment (Bio::Alignment),
Gene Ontology(Bio::GO),
PDB (Bio::PDB),
FANTOM database(Bio::FANTOM),
GFF (Bio::GFF) and KEGG
Orthology (Bio::KEGG::KO).

They also added support for many applications such as PSORT, SOSUI, TargetP, TMHMM, GenScan, ClustalW, MAFFT, and KEGG API.

Wiki Links
http://bioruby.open-bio.org/wiki/BioRubyOnRails
http://dev.bioruby.org/en/

BioRuby in Anger
http://dev.bioruby.org/en/?BioRuby+in+Anger

BioRuby RDocs
http://bioruby.org/rdoc/

BioRuby Tutorial Website
http://dev.bioruby.org/en/?Tutorial.rd

Why BioRuby Hub for BioRuby
http://www.linuxjournal.com/article/5915

Social Coding Hub for BioRuby
http://www.linuxjournal.com/article/5915

Bioinformatics on Rails: BioRuby Tutorial
http://bioinforuby.blogspot.com/2008/02/bioruby-tutorial.html

RRA BioRuby
http://raa.ruby-lang.org/project/bioruby/

BioRuby Project Discussion Group
http://portal.open-bio.org/mailman/listinfo/bioruby

BioRuby related Projects: Project tree
http://rubyforge.org/softwaremap/trove_list.php?form_cat=252

Reference
http://www.jsbi.org/journal/GIW03/GIW03P191.pdf

Sr. Scientist Bioinformatics Vacancies at Indian Institute of Toxicology Research, India

Tue, 01 Sep 2020 07:21:04 -0500

Start date of online Registration: Wednesday August 19, 2020 11:00 Hrs IST
Last date for Registration: Monday September 21, 2020 17:30 Hrs IST
Last date for submission of online application: Monday September 21, 2020 17:30 Hrs IST
Last date of Receipt of physical copy of application at CSIR-IITR: Tuesday October 05, 2020 17:30 Hrs IST

Pay Matrix Level-12
No. of Post-01
(UR)
Post – Sr. Scientist
Area Bioinformatics
Age limit : 37 years
PhD in Computational Biology/Bioinformatics with 2 years experience in desired area
Or
ME/M.Tech in Bioinformatics or Genome Informatics or Genetic Engineering with 3 years experience in desired area
Experience of understanding fundamental science behind Artificial Intelligence, machine learning, novel Artificial Intelligence algorithms and architectures, software engineering principles for Artificial Intelligence, natural language processing with proficiency in programming as evident by publications in SCI journals with high impact factor. To be part a group of scientists working in the area of genomics, running the central
bioinformatics facility, developing independent projects and providing bioinformatics support to the user scientists of the Institute.

More at

http://14.139.62.50/CSIR-IITR%20Scientist%20Recruitment%20Adv%202020.pdf