BOL: Related items

Fellowship (Doctoral Research In Biomedical Genomics, Including Statistical Genomics)

Sun, 20 Dec 2015 06:03:43 -0600

Fellowship (Doctoral Research In Biomedical Genomics, Including Statistical Genomics)
Eligibility : MSc(Bio-Chemistry, Bio-Informatics, Bio-Tech, Mathematics / Applied Mathematics, Stati, Zoology)
Location : Kolkata
Last Date : 31 Dec 2015
Hiring Process : Written-test

NO: 340/ESTB/ADMN/NIBMG/2015-16
Doctoral Research In Biomedical Genomics, Including Statistical Genomics conduct National Institute of Biomedical Genomics (NIBMG)
Information For Students Interested To Pursue Doctoral Research In Biomedical Genomics, Including Statistical Genomics, At The National Institute Of Biomedical Genomics (Nibmg), Kalyan
Eligibility conditions for specific areas of research are :
Statistical Genomics : An applicant who wishes to pursue research in Statistical Genomics should hold a Master's degree (First class or equivalent) in a relevant discipline (Statistics, Mathematics, Bioinformatics, or a related discipline)
Biomedical Genomics : An applicant who wishes to pursue research in any area of biomedical genomics, other than statistical genomics, should hold a Master's degree (First class or equivalent) in a relevant discipline (Biochemistry, Biotechnology, Molecular Biology, Genetics, Zoology, Physiology, or a related discipline)
Fellowship : An applicant should have passed the NET conducted by CSIR/UGC/ICMR/DBT within the past ONE year AND should have been awarded a valid Junior Research Fellowship from CSIR, UGC, ICMR, DBT (Category-I only), DST (INSPIRE), NBHM. Preference will be given to candidates with demonstrable research training in the form of summer training or short-term courses in established research laboratories in preparation for a research career in biomedical sciences
How to apply
Online application will be accepted until 5 PM of December 31, 2015. A formal interview of the short-listed candidates will be held on January 12, 2016

More at http://www.nibmg.ac.in/?q=Career%20Opportunities

Bioinformatic tools for pathogens informatics at CVR

Abhi — Sat, 08 Jun 2024 15:59:46 -0500

Novel sequencing and analytical approaches focused on studying viruses and virus-host interactions. Below you will find summaries and links to a number of bioinformatic tools that have been developed @ CVR.

DIGS

The database-integrated genome-screening (DIGS) tool provides a framework for implementing automated in silico screening of sequence databases using BLAST in combination with a relational database (MySQL).

DisCVR

DisCVR is a Diagnostic tool for detecting known human viruses in clinical samples from Next-Generation Sequencing (NGS) data. The tool uses a simple and straightforward Graphical User Interface and is optimized on Windows OS without compromising speed and accuracy.

DiversiTools

DiversiTools is a computational tool that is specifically tailored towards viral HTS data sets and the analysis of the underlying viral populations that they represent. It was initially developed in collaboration with a number of virologists interested in characterising the intra-host diversity of viral populations and studying their evolution across transmission chains at the micro-evolutionary scale.

GLUE

GLUE is a flexible data-centric bioinformatics environment for virus sequence data, with a focus on virus evolution and genomic variation. GLUE has been applied to a range of viruses. A GLUE-based resource focused on Hepatitis C virus is HCV-GLUE.

Tanoti

Tanoti is a BLAST guided reference based short read aligner. It is developed for maximising alignment in highly variable next generation sequence data sets (Illumina).

ViCTree

ViCTree is a bioinformatic framework that automatically selects new candidate virus sequences from GenBank, generates multiple sequence alignments, calculates a maximum likelihood phylogeny and integrates the sequences into the existing phylogenetic trees. For more information click here.

Viral Host Predictor

Viral Host Predictor provides a fast and simple way to predict the hosts and vectors of RNA viruses from viral sequences.

GRACy

GRACy is a bioinformatic tool designed for the analysis of Illumina data originated from Human cytomegalovirus samples. GRACy can be used to perform read quality filtering, genotyping, de novo assembly, variant detection, annotation and data submission to public database.

LoReTTA

LoReTTA (Long Read Template Targeted Assembler) is a reference assisted de novo assembler specifically designed to deal with PacBio reads generated from viral genomes.

BingleSeq

BingleSeq is a R-package enables the user-friendly analysis of count tables obtained by both Bulk RNA-Seq and single-cell RNA-Seq protocols. The development of BingleSeq focused on providing a flexible and intuitive user experience.

ETE 3: Reconstruction, Analysis, and Visualization of Phylogenomic Data

Jit — Mon, 19 Feb 2018 06:46:15 -0600

ETE v3, featuring numerous improvements in the underlying library of methods, and providing a novel set of standalone tools to perform common tasks in comparative genomics and phylogenetics.

The new features include

(i) building gene-based and supermatrix-based phylogenies using a single command,

(ii) testing and visualizing evolutionary models,

(iii) calculating distances between trees of different size or including duplications, and

(iv) providing seamless integration with the NCBI taxonomy database.

ETE is freely available at http://etetoolkit.org

Address of the bookmark: http://etetoolkit.org

Research Scientist at IIT Madras

Mon, 07 Mar 2016 04:06:13 -0600

Research Scientist/Project Associate/Project Assistant Jobs opportunity in Indian Institute of Technology Madras (IIT Madras)

Research Scientist

Qualification : Ph.D in any branch of life science or bioinformatics or computational biology Experience : Previous experience in Molecular Biology, Cell Biology, Biochemistry and Genome/big data analysis is desirable but not mandatory

No. of Vacancy : 02

Project Associate

Qualification : MSc in any branch of life science Experience Previous experience in Molecular Biology, Cell Biology and Biochemistry is desirable but not mandatory

No. of Vacancy : 02

Project Assistant

Qualification : BSc in any branch of life science or chemical science Experience Previous experience any branch in Life science, Molecular Biology, Cell Biology and Biochemistry is desirable but not mandatory

No. of Vacancy : 03
How to apply

Interested candidates can forward their profiles to email id: nctb@iitm.ac.in latest by 18th March, 2016

More at https://www.iitm.ac.in/content/national-cancer-tissue-bio-bank-department-biotechnology-iitm-chennai-vacancy-various-post
https://www.iitm.ac.in/sites/default/files/notices/vacancy.pdf

D3 javascript for visualization !

Jit — Mon, 23 Apr 2018 08:42:22 -0500

Welcome to the D3 gallery! More examples are available on bl.ocks.org/mbostock. If you want to share an example and don't have your own hosting, consider using Gist and bl.ocks.org. If you want to share or view live examples try vida.io.

Address of the bookmark: https://github.com/d3/d3/wiki/Gallery

RAVEN: a software suite for Matlab that allows for semi-automated reconstruction of genome-scale models

Jit — Wed, 24 Oct 2018 22:38:05 -0500

The RAVEN (Reconstruction, Analysis and Visualization of Metabolic Networks) Toolbox 2 is a software suite for Matlab that allows for semi-automated reconstruction of genome-scale models (GEMs). It makes use of published models and/or KEGG, MetaCyc databases, coupled with extensive gap-filling and quality control features. The software suite also contains methods for visualizing simulation results and omics data, as well as a range of methods for performing simulations and analyzing the results. The software is a useful tool for system-wide data analysis in a metabolic context and for streamlined reconstruction of metabolic networks based on protein homology.

Address of the bookmark: https://github.com/SysBioChalmers/RAVEN

chromoMap-An R package for Interactive Visualization and Annotation of Chromosomes

Neel — Fri, 12 Apr 2019 05:30:41 -0500

Provides interactive, configurable and elegant graphics visualization of the chromosomes or chromosome regions of any living organism allowing users to map chromosome elements (like genes, SNPs etc.) on the chromosome plot. It introduces a special plot viz. the "chromosome heatmap" that, in addition to mapping elements, can visualize the data associated with chromosome elements (like gene expression) in the form of heat colors which can be highly advantageous in the scientific interpretations and research work. The package provide multiple features like visualizing multiple sets, chromosome heat-maps, group annotations, adding hyperlinks, and labelling. The plots can be saved as HTML documents that can be customized and shared easily. In addition, you can include them in R Markdown or in R 'Shiny' applications.

Address of the bookmark: https://cran.r-project.org/web/packages/chromoMap/vignettes/chromoMap.html

RA at Central University of Rajasthan

Tue, 09 Feb 2016 03:53:35 -0600

Research Fellow Bioinformatics

Eligibility : MSc(Bio-Chemistry, Bio-Informatics, Bio-Tech)

Location : Ajmer

Last Date : 13 Feb 2016

Hiring Process : Face to Face Interview
Central University of Rajasthan

Research Fellow Job vacancies in Central University of Rajasthan

Project Title : “Development of natural product derived febrifugine ananlogues as a novel therapeutics against visceral leishmaniasis”

No. of Post : 01

Qualification : Master of Biochemistry, Biotechnology, Bioinformatics and related biological sciences with minimum 55%, Age limit as per government rule.

Desirable Experience : Candidates with experience in cell culture, Chemoinformatics, and Parasitology will be preferred.

Fellowship : Rs. 25,000/- p.m. consolidated for NET qualified (14,000/- p.m. consolidated for Non-NET)
How to apply

The candidates may apply on a plain paper, along with their curriculum vitae (including name, date of birth, academic qualification starting from 10th class, summary of research experience, email id, phone number and passport size photograph) and email to vkprajapati@curaj.ac.in or post the hard copy to the Dr. Vijay Kumar Prajapati PI, DST-SERB Project (YSS/2015/000716), Department of Biochemistry, School of Life Sciences, Central University of Rajasthan, Bandarsindri, Dist- Ajmer, Rajasthan, 305 817 on or before 13th February 2016.

More at http://www.curaj.ac.in/Default.aspx?PageId=241

Fundamentals of Data Visualization by Claus O. Wilke

Abhi — Sat, 08 Jun 2024 16:07:19 -0500

The book is meant as a guide to making visualizations that accurately reflect the data, tell a story, and look professional. It has grown out of my experience of working with students and postdocs in my laboratory on thousands of data visualizations. Over the years, I have noticed that the same issues arise over and over. I have attempted to collect my accumulated knowledge from these interactions in the form of this book.

The entire book is written in R Markdown, using RStudio as my text editor and the bookdown package to turn a collection of markdown documents into a coherent whole. The book’s source code is hosted on GitHub, at https://github.com/clauswilke/dataviz.

Address of the bookmark: https://clauswilke.com/dataviz/

NCBI Remap

Jit — Thu, 11 Feb 2016 11:02:26 -0600

NCBI Remap. This tool is conceptually similar to liftOver in that in manages conversions between a pair of genome assemblies but it uses different methods to achieve these mappings. It is also available through a simple web interface or you can use the API for NCBI Remap.

More at http://www.ncbi.nlm.nih.gov/genome/tools/remap

API http://www.ncbi.nlm.nih.gov/genome/tools/remap/docs/api

Address of the bookmark: http://www.ncbi.nlm.nih.gov/genome/tools/remap