BOL: Related items

Bioinformatics Programme Officer @ International Centre for Genetic ICGEB Engineering and Biotechnology

Fri, 23 Nov 2018 03:50:16 -0600

The following vacancies are available in the DBT Apex Biotechnology Information project at ICGEB, New Delhi, India. These positions are available for a period of approx. two years, however, initial appointment offer will be for 6 months, which will be extended based on performance of work. Salaries will be offered as per DBT, educational qualification and experience. Depending on requirements, selected candidates may be required to work on location from the Department of Biotechnology, New Delhi. Shortlisted candidates will be invited for an interview at ICGEB. Only the selected candidates will be informed individually. No TA/DA or accommodation will be offered to the candidates attending the interview.

4 Programme Officer 1
5 Technical Research Assistant 1

Minimum Educational Qualification, desirable experience and expected duties:

4: The applicants should be Postgraduates with experience in Data collection and Statistics, especially in Biotechnology-related data.

Expected duties: Collection of Biotechnology related information from India, to facilitate the Apex BTIC experts committee review of programmes at centres and R&D programs funded by DBT.

5: The applicants should be Postgraduates in Science with experience in Bioinformatics-related projects.
Expected duties: The candidates will assist the senior staff of the centre in daily activities and help in the preparation of the Annual Training Calendar, seminar and training podcasts/videos, repository of training material and Apex BTIC Newsletter.

Interested candidates should submit their full, updated Curriculum Vitae with a detailed description of relevant experience, along with two references by December 14th, 2018, addressed to, The Chairperson, DBT- Apex BTIC, ICGEB, Aruna Asaf Ali Marg, New Delhi 110067, Email: abtic@icgeb.res.in, kindly write “Application for DBT Apex BTIC vacancy” in the subject of the email or envelope, if sending by post.

Advertisement: http://www.icgeb.org/tl_files/Vacancies/dbt-abtic-vac-annmntrevsk.pdf

snakepipes: A toolkit based on snakemake and python for analysis of NGS data

Jit — Thu, 30 May 2019 04:06:13 -0500

snakePipes are flexible and powerful workflows built using snakemake that simplify the analysis of NGS data.

DNA-mapping*
ChIP-seq*
RNA-seq*
ATAC-seq*
scRNA-seq
Hi-C
Whole Genome Bisulfite Seq/WGBS

(*Also available in "allele-specific" mode)

snakePipes can be installed via conda :

'conda install -c mpi-ie -c bioconda -c conda-forge snakePipes'.

Source code (https://github.com/maxplanck-ie/snakepipes) and documentation (https://snakepipes.readthedocs.io/en/latest/) are available online.

Address of the bookmark: https://github.com/maxplanck-ie/snakepipes

Thank You Email After Bioinformatics Interview !

Jit — Tue, 08 Jan 2019 15:37:33 -0600

A good interview thank you email or note should contain three essential pieces:

a) Show appreciation for their time and thank them

b) Mention something specific you talked about in the interview, so they know it’s not a cut & paste email

c) Express interest in the position and tell them you’re excited to learn more

d) Invite them to contact you if they have any questions/concerns, or need clarification on anything discussed

First sample:

Dear Dr XYZ
I enjoyed speaking with you today about the XXX position at the X Lab, Uni. The job seems to be an excellent match for my skills and interests.

The lab loaded with new updated technology and international experts, that you informed while interviewing confirmed my desire to work with X lab.

In addition to my enthusiasm, I will bring to the position strong writing skills, assertiveness, and the ability to encourage others to work cooperatively with the group

I appreciate the time you took to interview me. I am very interested in working with you and look forward to hearing from you regarding this position.

Sincerely,
XXX

Second sample:

Dear Dr XXX,
I wanted to take a second to thank you for your time . I enjoyed our conversation about and enjoyed learning about the position overall.
It sounds like an exciting opportunity, and an opportunity I could succeed and excel in! I’m looking forward to hearing any updates you can share, and don’t hesitate to contact me if you have any questions or concerns in the meantime.
Thanks again for the great conversation .
Best Regards,
XXX

Bioinformatics Services / CRO Services

RASA Life Sciences — Wed, 06 Nov 2019 00:33:11 -0600

RASA is set to provide premium technical and scientific services in a form of solutions, product development and training. .We are also very proficient in providing the high quality Research & Development services in life science informatics field like Next Generation Sequencing (NGS) Data Analysis,Computational Drug Discovery, Bioinformatics, Chemo-informatics and BIO-IT.

RASA offers faster, better and cost effective cutting edge technology solutions to chemical and life science research and industry. We provide our customers with A seamless model of wide expertise and comprehensive platforms. Our Value is to take our customers

Dahak: benchmarking and containerization of tools for analysis of complex non-clinical metagenomes.

BioStar — Thu, 09 Apr 2020 04:56:09 -0500

Dahak is a software suite that integrates state-of-the-art open source tools for metagenomic analyses. Tools in the dahak software suite will perform various steps in metagenomic analysis workflows including data pre-processing, metagenome assembly, taxonomic and functional classification, genome binning, and gene assignment. We aim to deliver the analytical framework as a robust and reliable containerized workflow system, which will be free from dependency, installation, and execution problems typically associated with other open-source bioinformatics solutions. This will maximize the transparency, data provenance (i.e., the process of tracing the origins of data and its movement through the workflow), and reproducibility.

More at https://dahak-metagenomics.github.io/dahak/

Address of the bookmark: https://github.com/dahak-metagenomics/dahak

3 PhD positions available in the area of Bioinformatics/Computational Biology at ulster.ac.uk

Thu, 02 Jan 2020 12:41:10 -0600

3 PhD positions available in the area of Bioinformatics/Computational Biology, Machine Learning (ML)/Artificial Intelligence (AI), Biomarker Discovery, Stratified/Personalized Medicine in Mental Health, Diabetes and Multimorbidity. Please see details (weblinks) below:

1. https://www.ulster.ac.uk/doctoralcollege/find-a-phd/510894
2. https://www.ulster.ac.uk/doctoralcollege/find-a-phd/511458
3. https://www.ulster.ac.uk/doctoralcollege/find-a-phd/512618

Looking for students with good computational/programming skills (preferable in Linux/Shell, Python and/or R) and knowledge in computational biology and statistics. However, students from more biology oriented background but strong interest to learn bioinformatics and programming are also encouraged to apply.

Informal inquiries are welcomed at: p.shukla@ulster.ac.uk

Dr Priyank Shukla PhD FHEA FCHERP
Lecturer (Asst Prof) in Stratified Medicine (Bioinformatics)

Northern Ireland Centre for Stratified Medicine
Biomedical Sciences Research Institute
University of Ulster (Magee Campus)
C-TRIC Building, Altnagelvin Area Hospital
Glenshane Road, Derry/Londonderry
BT47 6SB, Northern Ireland, United Kingdom

T: +44 28 7167 5690
E: p.shukla@ulster.ac.uk
W: https://www.ulster.ac.uk/staff/p-shukla

DnaSP: DNA Sequence Polymorphism, is a software package for the analysis of DNA polymorphisms

Neel — Wed, 25 Nov 2020 19:51:38 -0600

DnaSP, DNA Sequence Polymorphism, is a software package for the analysis of DNA polymorphisms using data from a single locus (a multiple sequence aligned -MSA data), or from several loci (a Multiple-MSA data, such as formats generated by some assembler RAD-seq software). DnaSP can estimate several measures of DNA sequence variation within and between populations in noncoding, synonymous or nonsynonymous sites, or in various sorts of codon positions), as well as linkage disequilibrium, recombination, gene flow and gene conversion parameters.

Address of the bookmark: http://www.ub.edu/dnasp/

Data Steward / Research & Development Specialist at at the Luxembourg Centre for Systems Biomedicine (LCSB)

Sun, 25 Oct 2020 22:36:38 -0500

Applications should be addressed online to: Prof. Dr. Reinhard Schneider, Head of the Bioinformatics Core Facility

For further information, please contact: Dr. Pinar Alper (pinar.alper@uni.lu)

Applications should be submitted online and include:

A detailed curriculum vitae
Cover letter mentioning the reference number
List of publications/software projects
Description of past experience and future interests
Names and addresses of three referees
Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by email will not be considered.

*gn=gender neutral.

More at https://recruitment.uni.lu/en/details.html?nPostingId=54616&nPostingTargetId=74219&id=QMUFK026203F3VBQB7V7VV4S8&LG=UK&mask=karriereseiten&sType=Social%20Recruiting

Postdoctoral Researcher in Statistical Bioinformatics at Örebro University

Wed, 26 Aug 2020 10:20:11 -0500

The position is in Medical Sciences, with special focus on Statistical Bioinformatics.

The position is a full-time position for a fixed term of two years. The salary depends on the successful candidate’s qualifications and experience.

For more information, please contact Prof. Dirk Repsilber,This is an email address, Prof. Hugo Hesser, This is an email addressor Prof. Allan Sirsjö, allan.This is an email address, or Prof. Robert Brummer,This is an email address.

Örebro University actively pursues an equal work environment and values the qualities that diversity adds to our operations.

More detail at https://www.oru.se/english/working-at-orebro-university/jobs-and-vacancies/job/?jid=20200286/

Calculate the significance of the difference between two trends

BioStar — Tue, 14 Mar 2023 05:41:53 -0500

To calculate the significance of the difference between two trends, you can use a statistical test such as a t-test or ANOVA (analysis of variance). Here are the general steps to follow:

Define your null hypothesis (H0) and alternative hypothesis (H1). For example, H0 might be that there is no significant difference between the two trends, while H1 might be that there is a significant difference.
Collect data on the two trends. Make sure that the data is independent, normally distributed, and has equal variances.
Calculate the means and standard deviations of each trend.
Calculate the test statistic using a t-test or ANOVA. The test statistic will depend on the specific test you choose, but it will generally compare the difference in means between the two trends to the variability within each trend.
Determine the p-value associated with the test statistic. The p-value represents the probability of obtaining a test statistic as extreme as the one you calculated, assuming that the null hypothesis is true.
Compare the p-value to your chosen significance level (usually 0.05 or 0.01). If the p-value is less than or equal to the significance level, reject the null hypothesis and conclude that there is a significant difference between the two trends. If the p-value is greater than the significance level, fail to reject the null hypothesis and conclude that there is not enough evidence to support a significant difference.

It's important to note that the specific details of each step will depend on the type of test you choose and the software you use to perform the analysis.

The most common methods for comparing means include:

Methods	R function	Description
T-test	t.test()	Compare two groups (parametric)
Wilcoxon test	wilcox.test()	Compare two groups (non-parametric)
ANOVA	aov() or anova()	Compare multiple groups (parametric)
Kruskal-Wallis	kruskal.test()	Compare multiple groups (non-parametric)