📑Review on the Development and Applications of Medicinal Plant Genomes
💥 From Abstract: Although the review of plant genomes has been reported several times, there is no review giving a systematic and comprehensive introduction about the development and application of medicinal plant genomes that have been reported until now. Here, we provide a historical perspective on the current situation of genomes in medicinal plant biology, highlight the use of the rapidly developing sequencing technologies, and conduct a comprehensive summary on how the genomes apply to solve the practical problems in medicinal plants, like genomics-assisted herb breeding, evolution history revelation, herbal synthetic biology study, and geoherbal research, which are important for effective utilization, rational use and sustainable protection of medicinal plants.
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📲Channel: @Bioinformatics
💥 From Abstract: Although the review of plant genomes has been reported several times, there is no review giving a systematic and comprehensive introduction about the development and application of medicinal plant genomes that have been reported until now. Here, we provide a historical perspective on the current situation of genomes in medicinal plant biology, highlight the use of the rapidly developing sequencing technologies, and conduct a comprehensive summary on how the genomes apply to solve the practical problems in medicinal plants, like genomics-assisted herb breeding, evolution history revelation, herbal synthetic biology study, and geoherbal research, which are important for effective utilization, rational use and sustainable protection of medicinal plants.
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📲Channel: @Bioinformatics
📃Computational Medicine: Past, Present and Future
💥From Abstract: ...This paper introduces the concepts and characteristics of computational medicine and then reviews the developmental history of the field. Additionally, this study introduces research progress in computational medicine around the world, lists some specific clinical applications of computational medicine, discusses the key problems and limitations of the research and the development and application of computational medicine, and ultimately looks forward to the developmental prospects, especially in the field of computational Chinese medicine.
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📲Channel: @Bioinformatics
💥From Abstract: ...This paper introduces the concepts and characteristics of computational medicine and then reviews the developmental history of the field. Additionally, this study introduces research progress in computational medicine around the world, lists some specific clinical applications of computational medicine, discusses the key problems and limitations of the research and the development and application of computational medicine, and ultimately looks forward to the developmental prospects, especially in the field of computational Chinese medicine.
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🧬Step by step visual introduction to BLAST
💥 From Berkeley library
✍️ Level: Elementary
▫️Searching for gene and protein information
▫️From sequence to protein and gene & Comparing two or more sequences
📲Channel: @Bioinformatics
💥 From Berkeley library
✍️ Level: Elementary
▫️Searching for gene and protein information
▫️From sequence to protein and gene & Comparing two or more sequences
📲Channel: @Bioinformatics
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🏢The Festival of Genomics & Biodata
💥Free for student with university email address
🗓 Time: 25-28 January 2022
✍🏻 Registration link
🗣 View speakers list
ℹ️ More information
📲Channel: @Bioinformatics
💥Free for student with university email address
🗓 Time: 25-28 January 2022
✍🏻 Registration link
🗣 View speakers list
ℹ️ More information
📲Channel: @Bioinformatics
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👩⚕️Intelligent Health Care: Applications of Deep Learning in Computational Medicine
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📲Channel: @Bioinformatics
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📲Channel: @Bioinformatics
🧑🏫Bioinformatics mentorship in a resource limited setting
💥 From abstract: ... Here, we pioneered and tested a bioinformatics training/mentorship model that effectively uses the available expertise and computational infrastructure to deliver an in-person hands-on skills training experience. This is done through a few physical lecture hours each week, guided personal coursework over the rest of the week, group discussions and continuous close mentorship and assessment of trainees over a period of 1 year. ...
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📲Channel: @Bioinformatics
💥 From abstract: ... Here, we pioneered and tested a bioinformatics training/mentorship model that effectively uses the available expertise and computational infrastructure to deliver an in-person hands-on skills training experience. This is done through a few physical lecture hours each week, guided personal coursework over the rest of the week, group discussions and continuous close mentorship and assessment of trainees over a period of 1 year. ...
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📲Channel: @Bioinformatics
👍5
📑 Exploration of databases and methods supporting drug repurposing: a comprehensive survey
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👍1
📑Computational Methods for Identifying Similar Diseases
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📲Channel: @Bioinformatics
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📲Channel: @Bioinformatics
👍4
🎞Data Fabric in Life Sciences and Health Care: Real World Successes and Challenges
💥Free webinar from IBM
🗓 Date: Tue, Jan 25, 2022
🕐 Time: 6:30 PM - 7:30 PM IRST
✍🏻 Registration & more information
📲Channel: @Bioinformatics
💥Free webinar from IBM
🗓 Date: Tue, Jan 25, 2022
🕐 Time: 6:30 PM - 7:30 PM IRST
✍🏻 Registration & more information
📲Channel: @Bioinformatics
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💥 MOOC Machine Learning y Big Data para la Bioinformática
📚 A free course in English and Spanish to learn bioinformatics tools
🗓 Start date: January 10th - April 7th, 2022
📎 More info & Registration
📲Channel: @Bioinformatics
📚 A free course in English and Spanish to learn bioinformatics tools
🗓 Start date: January 10th - April 7th, 2022
📎 More info & Registration
📲Channel: @Bioinformatics
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📃Survey of miRNA-miRNA cooperative regulation principles across cancer types
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📲Channel: @Bioinformatics
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📲Channel: @Bioinformatics
👍4
📊Why do you need a biostatistician?
📘Journal: BMC Medical Research Methodology (I.F.=4.61)
🗓Publish year: 2020
💥Abstract: The quality of medical research importantly depends, among other aspects, on a valid statistical planning of the study, analysis of the data, and reporting of the results, which is usually guaranteed by a biostatistician. However, there are several related professions next to the biostatistician, for example epidemiologists, medical informaticians and bioinformaticians. For medical experts, it is often not clear what the differences between these professions are and how the specific role of a biostatistician can be described. For physicians involved in medical research, this is problematic because false expectations often lead to frustration on both sides. Therefore, the aim of this article is to outline the tasks and responsibilities of biostatisticians in clinical trials as well as in other fields of application in medical research.
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📲Channel: @Bioinformatics
📘Journal: BMC Medical Research Methodology (I.F.=4.61)
🗓Publish year: 2020
💥Abstract: The quality of medical research importantly depends, among other aspects, on a valid statistical planning of the study, analysis of the data, and reporting of the results, which is usually guaranteed by a biostatistician. However, there are several related professions next to the biostatistician, for example epidemiologists, medical informaticians and bioinformaticians. For medical experts, it is often not clear what the differences between these professions are and how the specific role of a biostatistician can be described. For physicians involved in medical research, this is problematic because false expectations often lead to frustration on both sides. Therefore, the aim of this article is to outline the tasks and responsibilities of biostatisticians in clinical trials as well as in other fields of application in medical research.
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📲Channel: @Bioinformatics
👍4
💸The benefits and threats of blockchain technology in healthcare: A scoping review
📘Journal: International Journal of Medical Informatics (I.F.=4.046)
🗓Publish year: 2020
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📲Channel: @Bioinformatics
📘Journal: International Journal of Medical Informatics (I.F.=4.046)
🗓Publish year: 2020
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👍4
📜Artificial intelligence in cancer research: learning at different levels of data granularity
📘Journal: Molecular Oncology Journal (I.F.=6.603)
🗓Publish year: 2021
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📲Channel: @Bioinformatics
📘Journal: Molecular Oncology Journal (I.F.=6.603)
🗓Publish year: 2021
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👍2
📑Advances in clinical genetics and genomics
💥Review paper
📘Journal: Intelligent Medicine
🗓Publish year: September 2021
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📲Channel: @Bioinformatics
💥Review paper
📘Journal: Intelligent Medicine
🗓Publish year: September 2021
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👍1
📃Protein domain identification methods and online resources
📘Journal: Computational and Structural Biotechnology (I.F.=7.271)
🗓Publish year: 2021
💥Abstract: Protein domains are the basic units of proteins that can fold, function, and evolve independently. Knowledge of protein domains is critical for protein classification, understanding their biological functions, annotating their evolutionary mechanisms and protein design. Thus, many protein domain identification approaches have been developed, and a variety of protein domain databases have also been constructed. This review divides protein domain prediction methods into two categories, sequence-based and structure-based. These methods are introduced in detail, and their advantages and limitations are compared. Furthermore, this review also provides a comprehensive overview of popular online protein domain sequence and structure databases. Finally, we discuss potential improvements of these prediction methods.
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📲Channel: @Bioinformatics
📘Journal: Computational and Structural Biotechnology (I.F.=7.271)
🗓Publish year: 2021
💥Abstract: Protein domains are the basic units of proteins that can fold, function, and evolve independently. Knowledge of protein domains is critical for protein classification, understanding their biological functions, annotating their evolutionary mechanisms and protein design. Thus, many protein domain identification approaches have been developed, and a variety of protein domain databases have also been constructed. This review divides protein domain prediction methods into two categories, sequence-based and structure-based. These methods are introduced in detail, and their advantages and limitations are compared. Furthermore, this review also provides a comprehensive overview of popular online protein domain sequence and structure databases. Finally, we discuss potential improvements of these prediction methods.
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📲Channel: @Bioinformatics
👍5🔥1
🎞 Biology meets programming: Bioinformatics 101 for NGS researchers
💥Free recorded webinar from Science
🌐 Watch
📲Channel: @Bioinformatics
💥Free recorded webinar from Science
🌐 Watch
📲Channel: @Bioinformatics
www.science.org
Biology meets programming: Bioinformatics 101 for NGS researchers
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