π·Remote Job: Bioinformatics Analyst
π₯Job summery: Primary accountability is to leverage the organizationβs data assets exome sequencing data (>180,000 individuals) from MyCode Community Health Initiative to improve quality, efficiency and generate knowledge specifically in the field of bioinformatics within health research. Performs and supervises complex data extraction, transformation, visualization, and summarization to support Research and operations activities.. Uses data reporting/management tools such as SQL, python, NGS tools (GATK, BWA, VEP, etc.), genomic databases (ClinVar, NCBI, gnomAD, etc.) and contributes to national publications. Uses multiple operating systems (Windows, Linux) and compute environments (local, cloud) and is responsible for assisting in development and maintenance of bioinformatics capabilities.
βΉοΈ More information and apply
π²Channel: @Bioinformatics
π₯Job summery: Primary accountability is to leverage the organizationβs data assets exome sequencing data (>180,000 individuals) from MyCode Community Health Initiative to improve quality, efficiency and generate knowledge specifically in the field of bioinformatics within health research. Performs and supervises complex data extraction, transformation, visualization, and summarization to support Research and operations activities.. Uses data reporting/management tools such as SQL, python, NGS tools (GATK, BWA, VEP, etc.), genomic databases (ClinVar, NCBI, gnomAD, etc.) and contributes to national publications. Uses multiple operating systems (Windows, Linux) and compute environments (local, cloud) and is responsible for assisting in development and maintenance of bioinformatics capabilities.
βΉοΈ More information and apply
π²Channel: @Bioinformatics
π₯1
πChallenges in Bioinformatics Workflows for Processing Microbiome Omics Data at Scale
πJournal: Frontiers in Bioinformatics
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
π3
π Artificial Intelligence and Machine Learning in Precision and Genomic Medicine
π Preprint paper
π Study the article
π²Channel: @Bioinformatics
π Preprint paper
π Study the article
π²Channel: @Bioinformatics
β€4π2
πStatistics or biology: the zero-inflation controversy about scRNA-seq data
πJournal: Genome Biology (I.F.=13.583)
πPublish year: 2022
π₯Abstract: Researchers view vast zeros in single-cell RNA-seq data differently: some regard zeros as biological signals representing no or low gene expression, while others regard zeros as missing data to be corrected. To help address the controversy, here we discuss the sources of biological and non-biological zeros; introduce five mechanisms of adding non-biological zeros in computational benchmarking; evaluate the impacts of non-biological zeros on data analysis; benchmark three input data types: observed counts, imputed counts, and binarized counts; discuss the open questions regarding non-biological zeros; and advocate the importance of transparent analysis.
π Study the paper
π²Channel: @Bioinformatics
πJournal: Genome Biology (I.F.=13.583)
πPublish year: 2022
π₯Abstract: Researchers view vast zeros in single-cell RNA-seq data differently: some regard zeros as biological signals representing no or low gene expression, while others regard zeros as missing data to be corrected. To help address the controversy, here we discuss the sources of biological and non-biological zeros; introduce five mechanisms of adding non-biological zeros in computational benchmarking; evaluate the impacts of non-biological zeros on data analysis; benchmark three input data types: observed counts, imputed counts, and binarized counts; discuss the open questions regarding non-biological zeros; and advocate the importance of transparent analysis.
π Study the paper
π²Channel: @Bioinformatics
π4β€1
πDesign, delivery and evaluation of a bioinformatics education workshop for 13-16-year-olds
πJournal: Genome Biology (I.F.=1.262)
πPublish year: 2021
π Study the paper
π²Channel: @Bioinformatics
πJournal: Genome Biology (I.F.=1.262)
πPublish year: 2021
π Study the paper
π²Channel: @Bioinformatics
Taylor & Francis
Design, delivery and evaluation of a bioinformatics education workshop for 13-16-year-olds
Bioinformatics is the use of computers in biology, particularly to analyse DNA and protein sequences and associated data. Bioinformatics has become crucial to most areas of life sciences research. ...
π1
πMachine learning for multi-omics data integration in cancer
πJournal: IScience (I.F.=5.458)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
πJournal: IScience (I.F.=5.458)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
π12π1
πΊ BioInformatics: Algorithms and Applications
π₯YouTube playlists curated by Class Central (69 sessions)
π Watch
π²Channel: @Bioinformatics
π₯YouTube playlists curated by Class Central (69 sessions)
π Watch
π²Channel: @Bioinformatics
πA Bibliometric Analysis of Mexican Bioinformatics: A Portrait of Actors, Structure, and Dynamics
πJournal: Biology (I.F.=5.079)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
πJournal: Biology (I.F.=5.079)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
π3β€1
πRecent Advances of Deep Learning in Bioinformatics and Computational Biology
πJournal: Frontiers in Genetics (I.F.=5.599)
πPublish year: 2019
π₯Abstract: Extracting inherent valuable knowledge from omics big data remains as a daunting problem in bioinformatics and computational biology. Deep learning, as an emerging branch from machine learning, has exhibited unprecedented performance in quite a few applications from academia and industry. We highlight the difference and similarity in widely utilized models in deep learning studies, through discussing their basic structures, and reviewing diverse applications and disadvantages. We anticipate the work can serve as a meaningful perspective for further development of its theory, algorithm and application in bioinformatic and computational biology.
π Study the paper
π²Channel: @Bioinformatics
πJournal: Frontiers in Genetics (I.F.=5.599)
πPublish year: 2019
π₯Abstract: Extracting inherent valuable knowledge from omics big data remains as a daunting problem in bioinformatics and computational biology. Deep learning, as an emerging branch from machine learning, has exhibited unprecedented performance in quite a few applications from academia and industry. We highlight the difference and similarity in widely utilized models in deep learning studies, through discussing their basic structures, and reviewing diverse applications and disadvantages. We anticipate the work can serve as a meaningful perspective for further development of its theory, algorithm and application in bioinformatic and computational biology.
π Study the paper
π²Channel: @Bioinformatics
π6β€1
π¬ Free webinar
π₯Deciphering the cellular, molecular, clinical and therapeutic implications of lung cancers lacking targeted therapies
π Date: 15th February
π Time: From 19 to 20 p.m, CET
π¬π§Language: English
βΉοΈ Registration and more information
π²Channel: @Bioinformatics
π₯Deciphering the cellular, molecular, clinical and therapeutic implications of lung cancers lacking targeted therapies
π Date: 15th February
π Time: From 19 to 20 p.m, CET
π¬π§Language: English
βΉοΈ Registration and more information
π²Channel: @Bioinformatics
Eventbrite
BioInfoClub | Bioinformatic study of lung cancers without therapies
Deciphering the cellular, molecular, clinical and therapeutic implications of lung cancers lacking targeted therapies
π¨βπ« Free Online Course:
Artificial Intelligence in Bioinformatics
π Duration: 3 weeks (Self paced)
π₯What you'll learn:
β«οΈOverview on bioinformatics
β«οΈArtificial Intelligence and how to apply it to bioinformatics
β«οΈFeature engineering
β«οΈFeature learning
β«οΈDeep learning in bioinformatics
β«οΈAnalyzing and visualizing data
βΉοΈ More information and Participation
π²Channel: @Bioinformatics
Artificial Intelligence in Bioinformatics
π Duration: 3 weeks (Self paced)
π₯What you'll learn:
β«οΈOverview on bioinformatics
β«οΈArtificial Intelligence and how to apply it to bioinformatics
β«οΈFeature engineering
β«οΈFeature learning
β«οΈDeep learning in bioinformatics
β«οΈAnalyzing and visualizing data
βΉοΈ More information and Participation
π²Channel: @Bioinformatics
FutureLearn
Artificial Intelligence in Bioinformatics - Online AI Course - FutureLearn
Join Taipei Universityβs online course to explore how AI is transforming the field of bioinformatics, and build your working knowledge of AI-based bioinformatics.
β€6π6π₯1
πTen Simple Rules for writing algorithmic bioinformatics conference papers
πJournal: PLOS Computational Biology (I.F.=4.475)
πPublish year: 2020
π Study the paper
π²Channel: @Bioinformatics
πJournal: PLOS Computational Biology (I.F.=4.475)
πPublish year: 2020
π Study the paper
π²Channel: @Bioinformatics
π1
π 11th ISCB Student Wikipedia competition announcement
The competition aims to improve Wikipedia's coverage of any topic relating to ISCB's Bioinformatics Core Competencies
π£ Deadline: 29 April 2022
πPrizes:
π₯1st prize - $500 (USD) and 1 year membership to the ISCB
π₯2nd prize - $250 (USD) and 1 year membership to the ISCB
π₯3rd prize - $150 (USD) and 1 year membership to the ISCB
βΉοΈ More information
π²Channel: @Bioinformatics
The competition aims to improve Wikipedia's coverage of any topic relating to ISCB's Bioinformatics Core Competencies
π£ Deadline: 29 April 2022
πPrizes:
π₯1st prize - $500 (USD) and 1 year membership to the ISCB
π₯2nd prize - $250 (USD) and 1 year membership to the ISCB
π₯3rd prize - $150 (USD) and 1 year membership to the ISCB
βΉοΈ More information
π²Channel: @Bioinformatics
Wikipedia
Wikipedia:WikiProject Molecular Biology/Computational Biology/11th ISCB Student Wikipedia competition announcement
The International Society for Computational Biology (ISCB) and the Computational Biology taskforce of WikiProject Molecular Biology announce the 11th ISCB Student Wikipedia Competition: the competition aims to improve Wikipedia's coverage of any topic relatingβ¦
π1
π¬ Free webinar
πͺπΈBig data and Artificial Intelligence: towards personalized medicine
π Date: 4 February, 2022
π Time: 12:30 p.m.
βΉοΈ Participate (in Microsoft Teams)
π²Channel: @Bioinformatics
πͺπΈBig data and Artificial Intelligence: towards personalized medicine
π Date: 4 February, 2022
π Time: 12:30 p.m.
βΉοΈ Participate (in Microsoft Teams)
π²Channel: @Bioinformatics
π2
π¬ Free webinar hosted by the Genomic Institute
π₯Genomics in Practice
π Date: Thursday 24 February
π Time: 4:00pm to 5:30pm AEST
βΉοΈ More information
βπ» Registration
π²Channel: @Bioinformatics
π₯Genomics in Practice
π Date: Thursday 24 February
π Time: 4:00pm to 5:30pm AEST
βΉοΈ More information
βπ» Registration
π²Channel: @Bioinformatics
π4π₯1
π¬ Free webinar
π₯Biomarker Discovery from Gene Expression: Challenges and Solutions for Success
π Date: Thursday 24 February
π Time: 11am EST (NA) / 4pm GMT (UK) / 5pm CET (EU-Central)
βΉοΈ More information
βπ» Registration (Creating an account is required)
π²Channel: @Bioinformatics
π₯Biomarker Discovery from Gene Expression: Challenges and Solutions for Success
π Date: Thursday 24 February
π Time: 11am EST (NA) / 4pm GMT (UK) / 5pm CET (EU-Central)
βΉοΈ More information
βπ» Registration (Creating an account is required)
π²Channel: @Bioinformatics
Xtalks
Biomarker Discovery from Gene Expression: Challenges and Solutions for Success
Join this webinar to learn about biomarker discovery from gene expression and bioinformatics innovations with case study examples.
π9
π§¬Promote cancer research by playing a mobile game
βΉοΈ More information
π²Channel: @Bioinformatics
βΉοΈ More information
π²Channel: @Bioinformatics
π6π₯2
πIntroduction to Glycoinformatics
π₯Free online recent course
β«οΈPart 1
β«οΈPart 2
β«οΈPart 3
β«οΈPart 4
π²Channel: @Bioinformatics
π₯Free online recent course
β«οΈPart 1
β«οΈPart 2
β«οΈPart 3
β«οΈPart 4
π²Channel: @Bioinformatics
YouTube
Introduction to Glycoinformatics (1 of 4)
Glycan molecules decorate a broad variety of surface or secreted proteins and the literature is filled with unnoticed references focusing on the βglycoβ part of glycoproteins. This course is an opportunity to update and extend your knowledge of glycoproteinsβ¦
π¨βπ« Registration is open for One month Bioinformatics Workshop
π₯ Data science and Machine learning for Bioinformatics with "R"π₯
π Duration: 19 February - 18 March, 2022
βοΈ Registration Link
https://decodelife.co.in
π² Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants
π₯Key Features:
β«οΈ 20 sessions with approximately 35 hrs of learning
β«οΈE- Certificate of Participation
π²Channel: @Bioinformatics
π₯ Data science and Machine learning for Bioinformatics with "R"π₯
π Duration: 19 February - 18 March, 2022
βοΈ Registration Link
https://decodelife.co.in
π² Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants
π₯Key Features:
β«οΈ 20 sessions with approximately 35 hrs of learning
β«οΈE- Certificate of Participation
π²Channel: @Bioinformatics
π4π2
βΊFree recorded webinar
π₯What single-cell RNA-sequencing is, and the workflow in terms of quality control, clustering and differential gene expression analysis
π Watch
π²Channel: @Bioinformatics
π₯What single-cell RNA-sequencing is, and the workflow in terms of quality control, clustering and differential gene expression analysis
π Watch
π²Channel: @Bioinformatics
YouTube
Analysis workflow for single-cell RNA-sequencing data
In this presentation, Fios Genomics Bioinformatician Katerina Boufea talks through an analysis workflow for single-cell RNA-sequencing data. She explains what single-cell RNA-sequencing is before going on to discuss the workflow in terms of quality controlβ¦