Bioinformatics – Telegram
Bioinformatics
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Bioinformatics, Computational Biology & Systems Biology

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📄A Survey of Brain Tumor Segmentation and Classification Algorithms

📘 Journal: Journal of Imaging
🗓Publish year: 2021

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📲Channel: @Bioinformatics
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📚Free online book:
Workshop in Applied Bioinformatics using R and Python

💥Biology is becoming a data science where high-throughput methodologies produce vast amounts of heterogeneous data that require analysis, mining, synthesis and effective delivery of such results (e.g., papers, presentations, reports). This course is a workshop designed to introduce graduate students in biology and biotechnology to practical applications of bioinformatics. As any workshop, this class consists of hands-on and practical training experiences, and it is not a regular course where the instructor feeds you with pieces of information. For this purpose, we will use R as our standard coding language, but we will introduce Python at later stage of this class. During this workshop, students will follow recipes and worked examples in a dedicate resource (an online book designed specifically for this class). This online book aims to illustrate how you can implement bioinformatics code to perform data manipulation, exploration, mining, statistics and graphics...

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📄 The roles of code in biology

💥 From abstract: The way in which computer code is perceived and used in biological research has been a source of some controversy and confusion, and has resulted in sub-optimal outcomes related to reproducibility, scalability and productivity. We suggest that the confusion is due in part to a misunderstanding of the function of code when applied to the life sciences. Code has many roles, and in this paper we present a three-dimensional taxonomy to classify those roles and map them specifically to the life sciences. We identify a ‘‘sweet spot’’ in the taxonomy—a convergence where bioinformaticians should concentrate their efforts in order to derive the most value from the time they spend using code...

📘 Journal
: Science Progress Journal
🗓Publish year: 2021

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📲Channel: @Bioinformatics
👍5
👨‍🏫Bioinformatics resources for protein biology
💥Free course materials from EMBL-EBI
📁 Including videos and slides

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📲Channel: @Bioinformatics
👍10
👨🏻‍💻Accomplished Workshop
💥Microbiome bioinformatics analysis

🔷 Lessons:
▫️Set up and resources
▫️Sequence processing
▫️Data cleaning
▫️Data visualization

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📲Channel: @Bioinformatics
6👍1
📜How to develop Bioinformatics software (Step-by-Step)
guide for beginners

🔷
Table of contents:
▫️Stage 1: Learning the basics
▫️Stage 2: Program development
▫️Stage 3: Finalization, Validation, and Marketing
▫️Why Bioinformatics tools are in High Demands?
▫️Important tips for designing bioinformatics software
▫️Summary
▫️Final
thoughts

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📲Channel: @Bioinformatics
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🎞Sequencing Malaria in Focus

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📲Channel: @Bioinformatics
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📑Computational Genomics in the Era of Precision Medicine: Applications to Variant Analysis and Gene Therapy

📘 Journal
: Journal of Personalized Medicine (I.F.=4.945)
🗓Publish year: 2022

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📲Channel: @Bioinformatics
👍61
📃 Current progress and open challenges for applying deep learning across the biosciences

📘 Journal: Nature Communications (I.F.=15.805)
🗓Publish year: April 2022

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📲Channel: @Bioinformatics
👨‍🏫Network analysis of protein interaction data
💥Free online tutorial from EMBL-EBI

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📲Channel: @Bioinformatics
👍4
📑Graph- and rule-based learning algorithms: a comprehensive review of their applications for cancer type classification and prognosis using genomic data

📘Journal: Briefings in Bioinformatics (I.F.=11.622)
🗓Publish year: 2020

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📲Channel: @Bioinformatics
👍5
📄Guide to Metabolomics Analysis: A Bioinformatics Workflow

📘Journal: Metabolites Journal (I.F.=4.932)
🗓Publish year: 2022

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📄Graph representation learning for structural proteomics

📘Journal: Emerging Topics in Life Sciences
🗓Publish year: 2021

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📲Channel: @Bioinformatics
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