🎬How machine learning approaches can be tailored to making discoveries with biological data
🧑🏫Nine hours recorded workshop + Slides
💥ICML 2021 Workshop on Computational Biology
🎥 Watch
🌐 Workshop website
📲Channel: @Bioinformatics
🧑🏫Nine hours recorded workshop + Slides
💥ICML 2021 Workshop on Computational Biology
🎥 Watch
🌐 Workshop website
📲Channel: @Bioinformatics
💾Ten simple rules for writing a paper about scientific software
Abstract: Papers describing software are an important part of computational fields of scientific research, like bioinformatics. These “software papers” are unique in a number of ways, and they require special consideration to improve their impact on the scientific community and their efficacy at conveying important information. Here, we discuss 10 specific rules for writing software papers, covering some of the different scenarios and publication types that might be encountered, and important questions from which all computational researchers would benefit by asking along the way.
🌐 Study the paper
📲Channel: @Bioinformatics
Abstract: Papers describing software are an important part of computational fields of scientific research, like bioinformatics. These “software papers” are unique in a number of ways, and they require special consideration to improve their impact on the scientific community and their efficacy at conveying important information. Here, we discuss 10 specific rules for writing software papers, covering some of the different scenarios and publication types that might be encountered, and important questions from which all computational researchers would benefit by asking along the way.
🌐 Study the paper
📲Channel: @Bioinformatics
🎬Free webinar
🧑💻Impact of SARS-CoV-2 Infection on Host Gene Expression
🗓 Date:
Thursday, September 23, 2021
🕚 Time:
2pm EDT (11am PDT / 1pm CDT) 60 min
✍️ Registration and more details
📲Channel: @Bioinformatics
🧑💻Impact of SARS-CoV-2 Infection on Host Gene Expression
🗓 Date:
Thursday, September 23, 2021
🕚 Time:
2pm EDT (11am PDT / 1pm CDT) 60 min
✍️ Registration and more details
📲Channel: @Bioinformatics
Xtalks
Impact of SARS-CoV-2 Infection on Host Gene Expression Across Multiple Tissues at Single Cell Resolution
Join this webinar to learn more about the alteration of host gene expression as a result of COVID-19 infection, and novel laboratory techniques designed to evaluate this at a single-cell resolution
🦠 Recent omics-based computational methods for COVID-19 drug discovery and repurposing
📑 Study the paper
📲Channel: @Bioinformatics
📑 Study the paper
📲Channel: @Bioinformatics
🎬Free webinar
🧑💻 The Role of Genomic Epidemiology in COVID-19 Response
🗓 Date:
Wednesday, 6 October, 2021
🕚 Time:
17:00 – 18:30 pm EAT (GMT+3) / 7 am PST / 9 pm WIB (Jakarta)
✍️ Registration
📲Channel: @Bioinformatics
🧑💻 The Role of Genomic Epidemiology in COVID-19 Response
🗓 Date:
Wednesday, 6 October, 2021
🕚 Time:
17:00 – 18:30 pm EAT (GMT+3) / 7 am PST / 9 pm WIB (Jakarta)
✍️ Registration
📲Channel: @Bioinformatics
🏢Free Symposium
🧑💻 Its time to do MORE with multiomics
🗓 Date:
Tuesday, October 12, 2021 - Thursday, October 14, 2021
🕚 Time:
9:00 AM-12:30 PM Pacific Time
🥇Symposium Agenda
✍️ Registration
ℹ️ More information
📲Channel: @Bioinformatics
🧑💻 Its time to do MORE with multiomics
🗓 Date:
Tuesday, October 12, 2021 - Thursday, October 14, 2021
🕚 Time:
9:00 AM-12:30 PM Pacific Time
🥇Symposium Agenda
✍️ Registration
ℹ️ More information
📲Channel: @Bioinformatics
🎞Simple and Straightforward High-Throughput Proteomics Analysis
💥from teach me in 10 min series
👁🗨 watch
📲Channel: @Bioinformatics
💥from teach me in 10 min series
👁🗨 watch
📲Channel: @Bioinformatics
👍1
📖 Bioinformatics Algorithms
💥2018 Edition
The bestselling textbook presents students with a dynamic, "active learning" approach to learning computational biology.
🌐 First five chapters are freely available online at this stage
🎥 Lecture videos for chapters
❔ Chapters FAQ
📲Channel: @Bioinformatics
💥2018 Edition
The bestselling textbook presents students with a dynamic, "active learning" approach to learning computational biology.
🌐 First five chapters are freely available online at this stage
🎥 Lecture videos for chapters
❔ Chapters FAQ
📲Channel: @Bioinformatics
📑Machine learning methods, databases and tools for drug combination prediction
💥From abstract: The object of this study is to introduce and discuss the recent applications of ML methods and the widely used databases in drug combination prediction. In this study, we first describe the concept and controversy of synergism between drug combinations. Then, we investigate various publicly available data resources and tools for prediction tasks. Next, ML methods including classic ML and deep learning methods applied in drug combination prediction are introduced. Finally, we summarize the challenges to ML methods in prediction tasks and provide a discussion on future work.
🌐 Study the paper
📲Channel: @Bioinformatics
💥From abstract: The object of this study is to introduce and discuss the recent applications of ML methods and the widely used databases in drug combination prediction. In this study, we first describe the concept and controversy of synergism between drug combinations. Then, we investigate various publicly available data resources and tools for prediction tasks. Next, ML methods including classic ML and deep learning methods applied in drug combination prediction are introduced. Finally, we summarize the challenges to ML methods in prediction tasks and provide a discussion on future work.
🌐 Study the paper
📲Channel: @Bioinformatics
📑A review of bioinformatic pipeline frameworks
Abstract: High-throughput bioinformatic analyses increasingly rely on pipeline frameworks to process sequence and metadata. Modern implementations of these frameworks differ on three key dimensions: using an implicit or explicit syntax, using a configuration, convention or class-based design paradigm and offering a command line or workbench interface. Here I survey and compare the design philosophies of several current pipeline frameworks. I provide practical recommendations based on analysis requirements and the user base.
🌐 Study the paper
📲Channel: @Bioinformatics
Abstract: High-throughput bioinformatic analyses increasingly rely on pipeline frameworks to process sequence and metadata. Modern implementations of these frameworks differ on three key dimensions: using an implicit or explicit syntax, using a configuration, convention or class-based design paradigm and offering a command line or workbench interface. Here I survey and compare the design philosophies of several current pipeline frameworks. I provide practical recommendations based on analysis requirements and the user base.
🌐 Study the paper
📲Channel: @Bioinformatics
📑Recent advances in biomedical literature mining
💥The goal of this paper is to provide a review of the recent advances in BLM from biomedical informatics (BMI) and computer science (CS) communities and inspire new research directions.
🌐 Study the paper
📲Channel: @Bioinformatics
💥The goal of this paper is to provide a review of the recent advances in BLM from biomedical informatics (BMI) and computer science (CS) communities and inspire new research directions.
🌐 Study the paper
📲Channel: @Bioinformatics
🎬Free virtual workshop
🧑💻 Exploring biological networks and its application in health and disease
🗓 Date:
08 - 12 November 2021
🕚 Time:
Theory : 13h (62%)
Practical : 8h (38%)
Total : 21h lectures + 2h Virtual Poster Sessions
📍Location: Virtually via Zoom
ℹ️ More information
✍️ Registration
📲Channel: @Bioinformatics
🧑💻 Exploring biological networks and its application in health and disease
🗓 Date:
08 - 12 November 2021
🕚 Time:
Theory : 13h (62%)
Practical : 8h (38%)
Total : 21h lectures + 2h Virtual Poster Sessions
📍Location: Virtually via Zoom
ℹ️ More information
✍️ Registration
📲Channel: @Bioinformatics
🧑💻 1st International Student Biohackathon in Central Asia
💥International Student Biohackathon from Nazarbayev University iGEM focused on solving natural science problems using IT. Our hackathon covers a wide spectrum of problems from data analysis to running simulations based on biological data, we welcome everyone to participate regardless of their specialization or skill level!
🗓 Date: October 10-12
🌐Format: Online, Team based
👯Team size: 2-4 people
✍️ Registration
▫️Deadline: October 7
▫️Individual | Team
▫️Individual applications will be assigned to teams by us
🎖Winners will receive unique merchandise along with a cash prize!
ℹ️ More info: http://code-on.info
📲Channel: @Bioinformatics
💥International Student Biohackathon from Nazarbayev University iGEM focused on solving natural science problems using IT. Our hackathon covers a wide spectrum of problems from data analysis to running simulations based on biological data, we welcome everyone to participate regardless of their specialization or skill level!
🗓 Date: October 10-12
🌐Format: Online, Team based
👯Team size: 2-4 people
✍️ Registration
▫️Deadline: October 7
▫️Individual | Team
▫️Individual applications will be assigned to teams by us
🎖Winners will receive unique merchandise along with a cash prize!
ℹ️ More info: http://code-on.info
📲Channel: @Bioinformatics
👍1
💡New inspiring paper for
Identification of hub genes based on WGCNA
📑 Identification of hub genes in bladder cancer based on weighted gene co-expression network analysis
📲Channel: @Bioinformatics
Identification of hub genes based on WGCNA
📑 Identification of hub genes in bladder cancer based on weighted gene co-expression network analysis
📲Channel: @Bioinformatics
🔖Ten simple rules for
Organizing a bioinformatics training course in low- and middle-income countries
🌐 Study the paper
📲Channel: @Bioinformatics
Organizing a bioinformatics training course in low- and middle-income countries
🌐 Study the paper
📲Channel: @Bioinformatics
📕Cytoscape tutorial:
💥How to add gene expression data to an interaction network
🌐 Watch
🔎Details:
1. Load an interaction network on cytoscape from a file (uses bioGRID)
2. Filter nodes by species and create a sub-network from filtered nodes
3. Add your gene expression data to the network in the form of a table
4. Change the color of the nodes to represent the changes in gene expression
5. Search for a specific node in the network and create a sub-network from all nodes that interact with this node
6. Change the layout of the network
7. Save the network as an image
8. Save the node or edge table as a .csv file
📲Channel: @Bioinformatics
💥How to add gene expression data to an interaction network
🌐 Watch
🔎Details:
1. Load an interaction network on cytoscape from a file (uses bioGRID)
2. Filter nodes by species and create a sub-network from filtered nodes
3. Add your gene expression data to the network in the form of a table
4. Change the color of the nodes to represent the changes in gene expression
5. Search for a specific node in the network and create a sub-network from all nodes that interact with this node
6. Change the layout of the network
7. Save the network as an image
8. Save the node or edge table as a .csv file
📲Channel: @Bioinformatics
YouTube
Cytoscape tutorial: How to add gene expression data to an interaction network
Describes how to:
1. Load an interaction network on cytoscape from a file (uses bioGRID)
2. Filter nodes by species and create a sub-network from filtered nodes
3. Add your gene expression data to the network in the form of a table
4. Change the color of…
1. Load an interaction network on cytoscape from a file (uses bioGRID)
2. Filter nodes by species and create a sub-network from filtered nodes
3. Add your gene expression data to the network in the form of a table
4. Change the color of…