BOL: Related items

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.

Mesquite: A modular system for evolutionary analysis

Rahul Nayak — Tue, 18 Jul 2017 07:42:46 -0500

Mesquite is modular, extendible software for evolutionary biology, designed to help biologists organize and analyze comparative data about organisms. Its emphasis is on phylogenetic analysis, but some of its modules concern population genetics, while others do non-phylogenetic multivariate analysis. Because it is modular, the analyses available depend on the modules installed.

http://mesquiteproject.wikispaces.com/

Address of the bookmark: https://github.com/MesquiteProject/MesquiteCore/releases

Bioinformatics Training Courses At RASA LSI

RASA Life Sciences — Wed, 06 Nov 2019 00:30:51 -0600

RASA conducts comprehensive Life Science skill development training courses in Pune, India for working professionals, researchers, students and job-seeker. The trainings are crafted meticulously, covering different modules of courses such as Bioinformatics course, In silico Drug Discovery course, Next Generation Sequence data analysis course, Molecular Biology & Life science software development course wherein you learn from industry leaders how to apply these skills in life science & have a command over software developing process by using various methodologies. We conduct in-class training and instructor-led live online classes worldwide, along with corporate and skill development training worldwide.

Workshops are conducted in regular intervals on Drug Designing, Protein Modeling and Simulation, Chemoinformatics, Bioinformatics etc.The workshops are highly beneficial for working professionals, students, researcher for enhancements of the skills in short duration.

RNAseq data analysis links !

Robert M Willioms — Mon, 27 Nov 2017 16:28:11 -0600

RNA-sequencing (RNA-seq) has a wide variety of applications, but no single analysis pipeline can be used in all cases. We review all of the major steps in RNA-seq data analysis, including experimental design, quality control, read alignment, quantification of gene and transcript levels, visualization, differential gene expression, alternative splicing, functional analysis, gene fusion detection and eQTL mapping.

A survey of best practices for RNA-seq data analysis

RNA-seq workflow: gene-level exploratory analysis and DE

RNAseq analysis notes from Tommy Tang

Analysis of RNA ‐ Seq Data

RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR

Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks.

EBI RNA-Seq exercise

An open RNA-Seq data analysis pipeline tutorial with an example

RNA-Seq Analysis Workflow

Transcript-level expression analysis of RNA-seq experiments

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();
)

GenomeTools: The versatile open source genome analysis software

Jit — Wed, 07 Feb 2018 10:44:18 -0600

The GenomeTools genome analysis system is a free collection of bioinformatics tools (in the realm of genome informatics) combined into a single binary named gt. It is based on a C library named “libgenometools” which consists of several modules.

If you are interested in gene prediction, have a look at GenomeThreader.

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

DBT BIOTECHNOLOGY ELIGIBILITY TEST (BET) 2020

Shruti Paniwala — Fri, 21 Aug 2020 09:17:24 -0500

Ministry of Science &Technology, Govt. of India

DBT-Junior Research Fellowship (DBT-JRF) in Biotechnology (2020)

BIOTECHNOLOGY ELIGIBILITY TEST (BET) 2020

Applications are invited from bonafide Indian citizens, residing in India for award of “DBT-Junior Research Fellowship” (DBT-JRF) for pursuing research in frontier areas of Biotechnology and Life Sciences. The candidates will be selected through “Biotechnology Eligibility Test (BET)”. Based on the performance in BET, two categories of merit list will be prepared (Category-I and Category-II). Government of India norms for reservation will be followed for selection. Candidates selected under category-I will be eligible to avail fellowship under the programme. These will be tenable at any University/Institute in India where the selected candidate registers for PhD Programme. Candidates selected under Category-II will be eligible to be appointed in any DBT sponsored project and avail fellowship from the project equivalent to NET/GATE, subject to selection through institutional selection process. There will be no binding on Principal Investigators of DBT sponsored projects to select JRF for their project from category-II list. Selection in category-II will not entitle student for any fellowship from DBT-JRF programme.

ELIGIBILITY

Qualification: M.Sc./ M.Tech./ M.V.Sc. or equivalent degree/ Integrated BS-MS/ B.E./ B.Tech. in any discipline of Biotechnology, M.Sc./ M.Tech. Bioinformatics/ Computational Biology, students admitted under DBT supported Postgraduate Teaching Programs. M.Sc. Life Science/ Bioscience/ Zoology/ Botany/ Microbiology/ Biochemistry/ Biophysics and Masters in Allied areas of Biology/Life Sciences. Candidates appearing in the final year examination are also eligible to apply.

Marks: Minimum 60% marks for General, EWS & OBC category and 55% for SC/ ST/ Differently abled in aggregate (or equivalent grade).

Age Limit: Upto 28 years as on the last date of application for General & EWS category. Age relaxation of up to 5 years (33 years) for SC/ ST/ Differently Abled/ women candidates and upto 3 years (31 years) for OBC (Non-Creamy Layer) candidates.

For detailed procedure for filling the application form, payment of application fee and uploading of required documents/ certificates in the prescribed format, please visit: http://rcb.res.in/BET2020. A non-refundable and non-transferable application fee of Rs. 1000/-is payable online by General/ OBC/ EWS candidates and Rs 250/- by SC/ ST/ Differently abled candidates.

IMPORTANT DATES

Online Registration Start	April 20, 2020
Online Registration Close	May 18, 2020
BET 2020	June 30, 2020 (Tuesday)* Tentative
Display of question paper and answer key on website	June 30, 2020
Last date of accepting representation of any discrepancy in Question paper & Answer key	July 03, 2020
Declaration of BET 2020 Result	July 20, 2020

EGAD: Ultra-fast functional analysis of gene networks

Rahul Nayak — Fri, 14 Dec 2018 04:10:35 -0600

With the EGAD (Extending ‘Guilt-by-Association’ by Degree) package, we present a series of highly efficient tools to calculate functional properties in networks based on the guilt-by-association principle. These allow rapid controlled comparisons and analyses. Two of the core features are: a function prediction algorithm which is fully vectorized (neighbor_voting), allowing network characterization across even thousands of functional groups to be accomplished in minutes in cross-validation and an analytic determination of the optimal prior to guess candidates genes across multiple functional sets (calculate_multifunc, auc_multifunc).

Address of the bookmark: https://github.com/sarbal/EGAD

Scientist B at AIIMS, New Delhi, Delhi

Thu, 03 Sep 2020 07:04:11 -0500

Scientist B at AIIMS, New Delhi, Delhi

Overview
Applications are invited from eligible candidates for the following position under Meity funded research project entitled: Artifical Intelligence in Oncology, Harnsessing big data and advanced computing to provide personalized diganosis and treatment for cancer patients purely on contractual basis

Scientist B

Salary: Rs.80,000/-

Qualification: 1st Class Masters Degree in Bioinformatics/ Computer Science/ Statistics with Ph.D in relevant subject from a recognized University with experience in Machine learning/ AI project plus two years research experience

Age: Upto 40 years

Details
Experience:2 Years
Location:New Delhi
Education:1st Class Masters Degree
SALARY: Rs.80,000/-
Key Skills: Research Fellowship
Desired Profile
Two years research experience

Company: AIIMS
All India Institute of Medical Sciences, New Delhi is a medical school, hospital and public medical research university

More at https://www.aiims.edu/en/notices/recruitment/aiims-recruitment.html?id=10844
PDF https://www.aiims.edu/images/pdf/recruitment/advertisement/Post_BioChem_22_08_20.PDF