π§° Tools You Need For Fundamental Bioinformatics Research
π₯ Introducing some popular databases of molecular biology research, primarily including gene information, gene expression information, gene function analysis, transcription factor, miRNA analysis and prediction, and others
βοΈ Level: Elementary
π https://www.cusabio.com/c-20850.html
π²Channel: @Bioinformatics
π₯ Introducing some popular databases of molecular biology research, primarily including gene information, gene expression information, gene function analysis, transcription factor, miRNA analysis and prediction, and others
βοΈ Level: Elementary
π https://www.cusabio.com/c-20850.html
π²Channel: @Bioinformatics
π¨βπ« Registration is open for One-month Bioinformatics training program on
π₯Data Science and Machine Learningπ₯
π Duration: June 1 to June 30, 2021
βοΈ Registration Link
https://decodelife.org
π² Fees: Rupees 1250 for Indian Participants /USD 30 for international Participants
π₯Key Features :
β«οΈE- Certificate of participation
β«οΈGlobal Instructors
β«οΈVideos access for all sessions
π²Channel: @Bioinformatics
π₯Data Science and Machine Learningπ₯
π Duration: June 1 to June 30, 2021
βοΈ Registration Link
https://decodelife.org
π² Fees: Rupees 1250 for Indian Participants /USD 30 for international Participants
π₯Key Features :
β«οΈE- Certificate of participation
β«οΈGlobal Instructors
β«οΈVideos access for all sessions
π²Channel: @Bioinformatics
π Review of Gene Set Analysis for genomics data
https://www.mdpi.com/1099-4300/22/4/427/pdf
π²Channel: @Bioinformatics
https://www.mdpi.com/1099-4300/22/4/427/pdf
π²Channel: @Bioinformatics
π¨βπ DKFZ International PhD Program in Heidelberg
(also known as the Helmholtz International Graduate School for Cancer Research)
π₯The German Cancer Research Centre (DKFZ), in Heidelberg, invites international students with master's degrees in biology (molecular), biochemistry, biophysics, computational biology, computer science or related disciplines to submit their applications for this doctoral position.
βΉοΈ How to apply
π²Channel: @Bioinformatics
(also known as the Helmholtz International Graduate School for Cancer Research)
π₯The German Cancer Research Centre (DKFZ), in Heidelberg, invites international students with master's degrees in biology (molecular), biochemistry, biophysics, computational biology, computer science or related disciplines to submit their applications for this doctoral position.
βΉοΈ How to apply
π²Channel: @Bioinformatics
π Good review of Gene Regulatory Network Inference techniques and tools
https://academic.oup.com/bib/advance-article/doi/10.1093/bib/bbaa190/5904505
π²Channel: @Bioinformatics
https://academic.oup.com/bib/advance-article/doi/10.1093/bib/bbaa190/5904505
π²Channel: @Bioinformatics
π§βπ« IV International Workshop on Computational Mathematics and Bioinformatics
πTopics:
β«οΈComputational Mathematics
β«οΈHigh Performance Computing
β«οΈComputational Design of Nanomaterials
β«οΈBioinformatics and its applications
β«οΈNeuroinformatics
π Dates:
May 31, 2021: Deadline for the receipt of works.
July 1, 2021: Acceptance by the Scientific Committee.
August 1, 2021: Deadline for the receipt of rectified works.
October 5 to 7, 2021: Event development.
πLocation: Virtual
π£ Language: Spanish and English
βΉοΈ For more information click here
βοΈSubmission link:
https://easychair.org/cfp/UCIENCIA2021
π¨Email: gulinj@uci.cu
π²Channel: @Bioinformatics
πTopics:
β«οΈComputational Mathematics
β«οΈHigh Performance Computing
β«οΈComputational Design of Nanomaterials
β«οΈBioinformatics and its applications
β«οΈNeuroinformatics
π Dates:
May 31, 2021: Deadline for the receipt of works.
July 1, 2021: Acceptance by the Scientific Committee.
August 1, 2021: Deadline for the receipt of rectified works.
October 5 to 7, 2021: Event development.
πLocation: Virtual
π£ Language: Spanish and English
βΉοΈ For more information click here
βοΈSubmission link:
https://easychair.org/cfp/UCIENCIA2021
π¨Email: gulinj@uci.cu
π²Channel: @Bioinformatics
π¨βπ» Novel algorithm can determine how cancer cells re-organize the 3D structure of their DNA
https://phys.org/news/2021-05-cancer-cells-hijack-3d-dna.html
π²Channel: @Bioinformatics
https://phys.org/news/2021-05-cancer-cells-hijack-3d-dna.html
π²Channel: @Bioinformatics
phys.org
Cancer cells hijack the 3D structure of DNA
In cancer, a lot of biology goes awry: Genes mutate, molecular processes change dramatically, and cells proliferate uncontrollably to form entirely new tissues that we call tumors. Multiple things go ...
π Bioinformatics online workbook
The best way to learn bioinformatics is through examples of real world problems. The Bioinformatics Workbook provides the reader with an in depth understanding of experimental design, data acquisition, data wrangling, data analysis and visualization. This is accomplished through worked out example problem in each of these sections along with one or more advanced problem sets and corresponding solutions. This books assumes that the reader has some knowledge of biology and basic understanding of the Unix command line. However, for the beginner, the appendix contains introductory material and tips/tricks for common bioinformatics problems, that is referred to for more information throughout the book.
https://bioinformaticsworkbook.org/list.html
π²Channel: @Bioinformatics
The best way to learn bioinformatics is through examples of real world problems. The Bioinformatics Workbook provides the reader with an in depth understanding of experimental design, data acquisition, data wrangling, data analysis and visualization. This is accomplished through worked out example problem in each of these sections along with one or more advanced problem sets and corresponding solutions. This books assumes that the reader has some knowledge of biology and basic understanding of the Unix command line. However, for the beginner, the appendix contains introductory material and tips/tricks for common bioinformatics problems, that is referred to for more information throughout the book.
https://bioinformaticsworkbook.org/list.html
π²Channel: @Bioinformatics
π1
π Free recorded webinar
π₯Mastering Phylogenetic Tree Creation & Optimizationπ₯
https://www.dnastar.com/mastering-phylogenetic-tree-creation-and-optimization-with-megalign-pro/
π²Channel: @Bioinformatics
π₯Mastering Phylogenetic Tree Creation & Optimizationπ₯
https://www.dnastar.com/mastering-phylogenetic-tree-creation-and-optimization-with-megalign-pro/
π²Channel: @Bioinformatics
π Biological data visualization important notes
https://www.youtube.com/watch?v=a2PxHtmfCK0
π²Channel: @Bioinformatics
https://www.youtube.com/watch?v=a2PxHtmfCK0
π²Channel: @Bioinformatics
YouTube
The essence of data visualization in bioinformatics (Webinar)
Presenter: Martin Krzywinski, Canada's Michael Smith Genome Sciences Center.
Progress in science requires effective communicationβdo not leave your audience confused, bored, or uninspired. Using critique by redesign and drawing from published examples inβ¦
Progress in science requires effective communicationβdo not leave your audience confused, bored, or uninspired. Using critique by redesign and drawing from published examples inβ¦
π Network modeling methods for precision medicine
Abstract:We discuss in this survey several network modeling methods and their applicability to precision medicine. We review several network centrality methods and two systems controllability methods . We demonstrate their applicability to precision medicine on three multiple myeloma patient disease networks. Each network consists of protein-protein interactions built around a specific patient's mutated genes, around the targets of the drugs used in the standard of care in multiple myeloma, and around multiple myeloma-specific essential genes. For each network we demonstrate how the network methods we discuss can be used to identify personalized, targeted drug combinations uniquely suited to that patient.
https://arxiv.org/pdf/2104.09206.pdf
π²Channel: @Bioinformatics
Abstract:We discuss in this survey several network modeling methods and their applicability to precision medicine. We review several network centrality methods and two systems controllability methods . We demonstrate their applicability to precision medicine on three multiple myeloma patient disease networks. Each network consists of protein-protein interactions built around a specific patient's mutated genes, around the targets of the drugs used in the standard of care in multiple myeloma, and around multiple myeloma-specific essential genes. For each network we demonstrate how the network methods we discuss can be used to identify personalized, targeted drug combinations uniquely suited to that patient.
https://arxiv.org/pdf/2104.09206.pdf
π²Channel: @Bioinformatics
π1
π½ Bioinformatics Project from Scratch
Data professor learning series
https://www.youtube.com/watch?v=plVLRashaA8&list=RDCMUCV8e2g4IWQqK71bbzGDEI4Q&index=2
π²Channel: @Bioinformatics
Data professor learning series
https://www.youtube.com/watch?v=plVLRashaA8&list=RDCMUCV8e2g4IWQqK71bbzGDEI4Q&index=2
π²Channel: @Bioinformatics
YouTube
Bioinformatics Project from Scratch - Drug Discovery Part 1 (Data Collection and Pre-Processing)
Do you want to collect your very own novel and original dataset in biology that you can use in your Data Science Project? In this video, I will show you how to download and pre-process biological activity data from the ChEMBL database that you can use toβ¦
π€ -π New atlas can help understand the relationship between healthy and breast cancer cells
Australian researchers have documented the diversity of cells in the human breast, explaining the relationship between healthy breast cells and breast cancer cells.
The research, which relied on expertise spanning from breast cancer biology through to bioinformatics, measured gene expression in single cells taken from healthy women and cancerous breast tissue, including tissue carrying a faulty BRCA1 gene. This enabled the researchers to create an 'RNA atlas' that details the different cells found in these tissues.
The atlas, which was described in EMBO Journal, will enable researchers to better understand the different cell types that constitute breast tissue and how these change during the development of cancer.
π Paper link:
https://www.embopress.org/doi/full/10.15252/embj.2020107333
π²Channel: @Bioinformatics
Australian researchers have documented the diversity of cells in the human breast, explaining the relationship between healthy breast cells and breast cancer cells.
The research, which relied on expertise spanning from breast cancer biology through to bioinformatics, measured gene expression in single cells taken from healthy women and cancerous breast tissue, including tissue carrying a faulty BRCA1 gene. This enabled the researchers to create an 'RNA atlas' that details the different cells found in these tissues.
The atlas, which was described in EMBO Journal, will enable researchers to better understand the different cell types that constitute breast tissue and how these change during the development of cancer.
π Paper link:
https://www.embopress.org/doi/full/10.15252/embj.2020107333
π²Channel: @Bioinformatics
π Data Visualization with R - Online Book
R is an amazing platform for data analysis, capable of creating almost any type of graph. This book helps you create the most popular visualizations - from quick and dirty plots to publication-ready graphs. The text relies heavily on the ggplot2 package for graphics, but other approaches are covered as well.
π§βπ« Read the book from here:
https://rkabacoff.github.io/datavis/
π²Channel: @Bioinformatics
R is an amazing platform for data analysis, capable of creating almost any type of graph. This book helps you create the most popular visualizations - from quick and dirty plots to publication-ready graphs. The text relies heavily on the ggplot2 package for graphics, but other approaches are covered as well.
π§βπ« Read the book from here:
https://rkabacoff.github.io/datavis/
π²Channel: @Bioinformatics
𧬠Sample Bioinformatics Analyses for Hub Gene Identification
π https://www.hindawi.com/journals/cmmm/2021/5548918/
π²Channel: @Bioinformatics
π https://www.hindawi.com/journals/cmmm/2021/5548918/
π²Channel: @Bioinformatics
π§« An insilico method to predict genetics that underpin adverse drug reactions
https://www.sciencedirect.com/science/article/pii/S2215016119303516#fig0015
π²Channel: @Bioinformatics
https://www.sciencedirect.com/science/article/pii/S2215016119303516#fig0015
π²Channel: @Bioinformatics
π Current trend and development in bioinformatics research
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-020-03874-y
π²Channel: @Bioinformatics
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-020-03874-y
π²Channel: @Bioinformatics
π¨βπ« Two Days Hands on training on Cancer Genomics
π Duration: 22 May and 23 May 2021
β° 11 a.m. to 12:30 p.m. and 1 p.m. to 2:30 pm. (IST)
πLocation: Virtual via Zoom
π»Software used: R studio
π§Eligibility: Anyone from Life science or related fields.
βοΈ Registration Link
https://forms.gle/r5PADzXaZG5RmqBr5
π² Fees: Rs. 799 | 25 USD
π Website: https://lifegenbio.com/
π²Channel: @Bioinformatics
π Duration: 22 May and 23 May 2021
β° 11 a.m. to 12:30 p.m. and 1 p.m. to 2:30 pm. (IST)
πLocation: Virtual via Zoom
π»Software used: R studio
π§Eligibility: Anyone from Life science or related fields.
βοΈ Registration Link
https://forms.gle/r5PADzXaZG5RmqBr5
π² Fees: Rs. 799 | 25 USD
π Website: https://lifegenbio.com/
π²Channel: @Bioinformatics
π’ ISCB-Africa ASBCB Bioinformatics Conference 2021
Online Event
π£ Deadline for abstract submission: April 19, 2021
π Date: 7-10 June, 2021
πWebsite & more info.: https://www.iscb.org/iscbafrica2021
π²Channel: @Bioinformatics
Online Event
π£ Deadline for abstract submission: April 19, 2021
π Date: 7-10 June, 2021
πWebsite & more info.: https://www.iscb.org/iscbafrica2021
π²Channel: @Bioinformatics
π Network based Approach to Drug Discovery: A Mini Review
π Paper link
π²Channel: @Bioinformatics
π Paper link
π²Channel: @Bioinformatics