BOL: Related items

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)

ICMR Scientist Jobs For Biotech/Life Science/Biology & Bioinformatics

Tue, 10 Nov 2020 18:45:49 -0600

CMR welcomes on-line applications up to 5th December 2020 till 5:30 PM to fill out the vacancies of 42 Scientist’ E’ (Medical), 01 Scientist ‘E’ (Non-Medical), 16 Scientist ‘D’ (Medical) and also 06 Scientist ‘D’ (Non-Medical) from Indian Citizens for appointment on regular basis under Direct Recruitment with all India transfer liability under the Council.

Post I

Name of the Post: Scientist-E (Non-Medical)

Number of positions: One

Upper Age limit: 50 years

Post II

Name of the Post: Scientist-D (Non-Medical)

Number of positions: Six

Upper Age limit: 45 years

Fee:

Application Fee of Rs. 1500/- (Rupees one thousand five hundred only) is needed. SC / ST / Women/ PWD/ EWS applicants are exempted from application fee. Application Fee is to be paid by candidates through online web link given up the application. Application fees when paid will certainly not be reimbursed under any situations.

How to apply:

i) Candidates should apply online on https://recruit.icmr.org.in. A separate application needs to be submitted for every post, with the required application fee.

ii) Following self-attested documents are required to be uploaded together with the application:
a) Proof of Date of Birth.
b) Educational qualifications.
c) Experience.

More at https://recruit.icmr.org.in/assets/uploads/advertisement/ICMR_Advertisement_06112020.pdf

The Home Microbiome Project

Tue, 02 Sep 2014 15:21:49 -0500

The Home Microbiome Project is an initiative aimed at uncovering the dynamic co-associations between people's bacteria and the bacteria found in their homes.The hope is that the data and project will show that routine monitoring of the microbial diversity of your body and of the environment in which you live is possible. Computer animation courtesy the Biology & Built Environment (BioBE) Center, University of Oregon and Cameron Slayden at Cosmocyte. http://vimeo.com/90059732 BioBE on Vimeo: http://vimeo.com/user22991553

Galaxy Training Resources !

Jit — Sun, 27 Dec 2020 05:28:07 -0600

Welcome to Galaxy Training!

Collection of tutorials developed and maintained by the worldwide Galaxy community

Topic	Tutorials
Introduction to Galaxy Analyses	10
Assembly	6
Climate	3
Computational chemistry	6
Ecology	6
Epigenetics	6
Genome Annotation	3
Imaging	3
Metabolomics	4
Metagenomics	7
Proteomics	18
Sequence analysis	2
Statistics and machine learning	8
Transcriptomics	23
Variant Analysis	8
Visualisation	2

Address of the bookmark: https://training.galaxyproject.org/training-material/

KEGG Mapper – Reconstruct Pathway

Abhimanyu Singh — Wed, 12 Dec 2018 09:14:29 -0600

Reconstruct Pathway is a KEGG PATHWAY mapping tool that assists genome and metagenome annotations. The input data is a single gene list (for a single organism) or multiple gene lists (for multiple organisms) annotated with KEGG Orthology (KO) identifiers or K numbers. Each line of the gene list contains the user-defined gene identifier followed by, if any, the assigned K number. The mapping is performed through the K numbers against the KEGG reference pathways.

Address of the bookmark: https://www.kegg.jp/kegg/tool/map_pathway.html

Scientist position in Structural Bioinformatics at Lonza

Wed, 03 Feb 2021 21:38:06 -0600

Lonza (https://www.lonza.com/) are seeking a highly motivated and skilled (Senior) Scientist with experience in Structure-based Protein Engineering and Bioinformatics to join Lonza's Applied Protein Services (APS) Bioinformatics team based in Cambridge, UK.

More at https://instruct-eric.eu/jobs/scientist-position-in-structural-bioinformatics-at-lonza-cambridge-uk/