πTen simple rules for creating a global network in computational biology
πJournal: PLOS Computational Biology (I.F.=4.779)
πPublish year: October, 2022
π Study the paper
π²Channel: @Bioinformatics
πJournal: PLOS Computational Biology (I.F.=4.779)
πPublish year: October, 2022
π Study the paper
π²Channel: @Bioinformatics
β€3π3π1
πApplication of artificial intelligence in drug repositioning
πJournal: Gene & Protein in Disease
πPublish year: November, 2022
π Study the paper
π²Channel: @Bioinformatics
#review #AI #drug
πJournal: Gene & Protein in Disease
πPublish year: November, 2022
π Study the paper
π²Channel: @Bioinformatics
#review #AI #drug
π3
πArtificial Intelligence, Machine Learning and Deep Learning in Ion Channel Bioinformatics
πJournal: Membranes (I.F.=4.562)
πPublish year: October, 2021
π₯From Abstract: This review provides an introduction to a novel research trend. Ion channel understanding is usually made considering the structural and functional perspectives, gating mechanisms, transport properties, channel protein mutations, etc. Focused research on ion channels and related findings over many decades accumulated huge data which may be utilized in a specialized scientific manner to fast conclude pinpointed aspects of channels. AI, ML, and DL techniques and models may appear as helping tools. This review aims at explaining the ways we may use the bioinformatics techniques and thus draw a few lines across the avenue to let the ion channel features appear clearer.
π Study the paper
π²Channel: @Bioinformatics
#review #ion_channel #ai
πJournal: Membranes (I.F.=4.562)
πPublish year: October, 2021
π₯From Abstract: This review provides an introduction to a novel research trend. Ion channel understanding is usually made considering the structural and functional perspectives, gating mechanisms, transport properties, channel protein mutations, etc. Focused research on ion channels and related findings over many decades accumulated huge data which may be utilized in a specialized scientific manner to fast conclude pinpointed aspects of channels. AI, ML, and DL techniques and models may appear as helping tools. This review aims at explaining the ways we may use the bioinformatics techniques and thus draw a few lines across the avenue to let the ion channel features appear clearer.
π Study the paper
π²Channel: @Bioinformatics
#review #ion_channel #ai
π6
π½ A quick practical introduction to NCBIβs Bioinformatics Tools and Databases
π¬ Watch
π²Channel: @Bioinformatics
#video #ncbi
π¬ Watch
π²Channel: @Bioinformatics
#video #ncbi
YouTube
How to Use the NCBIβs Bioinformatics Tools and Databases
This video tutorial provides a quick overview of the NCBI website. We walk you through how to search for nucleotide and protein sequences using NCBIβs databases and explain what information is provided with each sequence. We also give you tips on how to interpretβ¦
π10β€2
π’The 2nd International and 11th Iranian Conference on Bioinformatic (ICB)
π Date: February 28th and March 1st, 2023
πLocation: Both On-site and Online
- by the Institute for Research in Fundamental Sciences (IPM)
β° Abstract submission deadline: January 5, 2023.
π Registration & More information: https://icb11.ibis.org.ir
π²Channel: @Bioinformatics
#conference #iran
π Date: February 28th and March 1st, 2023
πLocation: Both On-site and Online
- by the Institute for Research in Fundamental Sciences (IPM)
β° Abstract submission deadline: January 5, 2023.
π Registration & More information: https://icb11.ibis.org.ir
π²Channel: @Bioinformatics
#conference #iran
π11
πMetagenomic data mining: Benchmarking and
developing technologies to identify biomarkers
from large metagenomics data sets
πPhD Thesis from University of Copenhagen, Denmark
πPublish year: 2021
π Study thesis
π²Channel: @Bioinformatics
#thesis #metagenomics
developing technologies to identify biomarkers
from large metagenomics data sets
πPhD Thesis from University of Copenhagen, Denmark
πPublish year: 2021
π Study thesis
π²Channel: @Bioinformatics
#thesis #metagenomics
π3
Forwarded from Network Analysis Resources & Updates
π Network visualization with Gephi
π₯Free recorded tutorial from NIH
πΉThis tutorial Provides a practical demonstration of how to visualize co-authoring networks using Gephi
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Gephi
π₯Free recorded tutorial from NIH
πΉThis tutorial Provides a practical demonstration of how to visualize co-authoring networks using Gephi
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Gephi
YouTube
Week 8: Network visualization
In week 8, we provide a hands-on demonstration of how to visualize co-authorship networks using Gephi.
π4β€1π1
π Bioinformatics in Agriculture
π₯Technical report
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#agriculture
π₯Technical report
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#agriculture
π4π2
πMachine learning and statistical methods for clustering single-cell RNA-sequencing data
πJournal: Briefing in Bioinformatics (I.F.=13.994)
πPublish year: 2020
π Study the paper
π²Channel: @Bioinformatics
#review #machine_learning #rna_sequencing
πJournal: Briefing in Bioinformatics (I.F.=13.994)
πPublish year: 2020
π Study the paper
π²Channel: @Bioinformatics
#review #machine_learning #rna_sequencing
πNetwork biology: Recent advances and challenges
πJournal: Gene & Protein in Disease
πPublish year: November, 2022
π Study the paper
π²Channel: @Bioinformatics
#review #network #biology
πJournal: Gene & Protein in Disease
πPublish year: November, 2022
π Study the paper
π²Channel: @Bioinformatics
#review #network #biology
π10
π Statistical Methods in Computational Biology
π₯Free online recorded course videos from UCLA
π½ Watch introduction session
π Videos of other sessions
π²Channel: @Bioinformatics
#video #computational_biology #statistics
π₯Free online recorded course videos from UCLA
π½ Watch introduction session
π Videos of other sessions
π²Channel: @Bioinformatics
#video #computational_biology #statistics
YouTube
STATS M254 - Stat Methods in Comp Bio - Lec 1 (Overview: Statistical Inference vs. Machine Learning)
Papers to read: https://www.dropbox.com/sh/mkoz1j0m38mwwa8/AAAGNKUFBifCE7mcXO9y5Dhda?dl=0
π12
πMachine learning solutions for predicting proteinβprotein interactions
πJournal: Computational Molecular Science (I.F.=11.5)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#review #ppi #matchine_learning
πJournal: Computational Molecular Science (I.F.=11.5)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#review #ppi #matchine_learning
π5β€1
Forwarded from Network Analysis Resources & Updates
πAnalysis of EEG signals using complex brain networks
πPhDβs Dissertation, in University of Southern Queensland Faculty of Health, Engineering and Sciences, by
Guohun Zhu
πPublish year: 2014
πStudy Dissertation
π²Channel: @ComplexNetworkAnalysis
#Dissertation #EEG #brain
πPhDβs Dissertation, in University of Southern Queensland Faculty of Health, Engineering and Sciences, by
Guohun Zhu
πPublish year: 2014
πStudy Dissertation
π²Channel: @ComplexNetworkAnalysis
#Dissertation #EEG #brain
π2
π¨βπ« Registration is open to Three week International Bioinformatics Workshop by DE<code>LIFE
π₯ Genomes to Pathways - 3rd Edition π₯
π Duration: 3 December - 21 December, 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 18 sessions with approximately 30 hrs of learning.
β«οΈE- Certificate of Participation.
Note - video recording will be shared with participants immediately after each session along with relevant material.
βFrequently asked questions: https://decodelife.co.in/faq/
π²Channel: @Bioinformatics
π₯ Genomes to Pathways - 3rd Edition π₯
π Duration: 3 December - 21 December, 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 18 sessions with approximately 30 hrs of learning.
β«οΈE- Certificate of Participation.
Note - video recording will be shared with participants immediately after each session along with relevant material.
βFrequently asked questions: https://decodelife.co.in/faq/
π²Channel: @Bioinformatics
π13
πAssociation of COVID-19 with diabetes: a systematic review and meta-analysis
πJournal: Scientific Reports (I.F.=4.996)
πPublish year: 23 November 2022
π Study the paper
π²Channel: @Bioinformatics
#review #covid #diabetes
πJournal: Scientific Reports (I.F.=4.996)
πPublish year: 23 November 2022
π Study the paper
π²Channel: @Bioinformatics
#review #covid #diabetes
π7
πBioinformatics for Marine Products: An Overview of Resources, Bottlenecks, and Perspectives
πJournal: Marine Drugs (I.F.=6.086)
πPublish year: 2019
π Study the paper
π²Channel: @Bioinformatics
#review #marine
πJournal: Marine Drugs (I.F.=6.086)
πPublish year: 2019
π Study the paper
π²Channel: @Bioinformatics
#review #marine
π4
πΉ Metagenomics Analysis
π₯Recorded workshop from UCLA QCBio Collaboratory
Watch
β«οΈDay 1
β«οΈDay 2
β«οΈDay 3
π¦ Course materials
π²Channel: @Bioinformatics
#video #workshop #metagenomics
π₯Recorded workshop from UCLA QCBio Collaboratory
Watch
β«οΈDay 1
β«οΈDay 2
β«οΈDay 3
π¦ Course materials
π²Channel: @Bioinformatics
#video #workshop #metagenomics
YouTube
Metagenomics Analysis- Day 1
This workshop provides an introduction to the microbiome analyses from the raw sequence data generated from the next-generation sequencing platforms. We will cover how to perform the 16S rRNA-based analysis using an open-source bioinformatics pipeline QIIME.β¦
π19
πMachine Learning Applied to Diagnosis of Human Diseases: A Systematic Review
πJournal: Applied Sciences (I.F.=2.838)
πPublish year: 2020
π Study the paper
π²Channel: @Bioinformatics
#review #machine_learning #disease
πJournal: Applied Sciences (I.F.=2.838)
πPublish year: 2020
π Study the paper
π²Channel: @Bioinformatics
#review #machine_learning #disease
π6