A rich collection of various SARS-CoV-2 (SARS2), SARS-CoV (SARS1), and MERS-CoV related datasets:
http://www.datjar.com:40090/h2v/

resulted from this research:
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-020-03935-2

📲Channel: @Bioinformatics

The next act for messenger RNA could be bigger than covid vaccines

https://www.technologyreview.com/2021/02/05/1017366/messenger-rna-vaccines-covid-hiv/

📲Channel: @Bioinformatics

💻 Machine learning generates realistic genomes for imaginary humans

https://phys.org/news/2021-02-machine-realistic-genomes-imaginary-humans.html

📲Channel: @Bioinformatics

😮 Opium use may have a preventive effect on getting infected with coronavirus

https://www.eurekaselect.com/node/182595/article/withdrawal-notice-the-relationship-between-opium-use-and-coronavirus-infection-a-brief-research-report-from-iran

📲Channel: @Bioinformatics

👨‍🏫 Registration is open for two week Cancer Genomics Workshop

✍️ Registration Link
https://decodelife.org

💲 Fees: Rupees 1000 For Indian Participant. / Dollar 20 (USA) for Foreign Participant.
We have kept nominal fees in order to ensure that only serious candidates participate.

💥Key Features :
▫️E- Certificate of participation
▫️Global Instructors
▫️Videos access for all sessions

📲Channel: @Bioinformatics

📊 4 reasons why we need better Mass Spec software

https://elucidata.io/4-reasons-why-we-need-better-mass-spec-software/

📲Channel: @Bioinformatics

🖥 Useful R programming video

https://www.youtube.com/watch?v=yBvOS91jIXI

📲Channel: @Bioinformatics

👨‍💻 Postdoc positions opened at the Barabasi Lab.

💥Position Summary
The lab of Professor Albert-László Barabási, together with the Network Science Institute at Northeastern University and the Division of Network Medicine at Harvard University, is looking for postdoctoral research associates in the area of biological networks, machine learning/AI, and science of science. The BarabasiLab's current work spans the applications of networks toward understanding human diseases, disease progression, biomarker discovery, and drug repurposing, as well as understanding the emergence of impact in art and science.

✅ Basic Qualifications
We are seeking motivated individuals with an interest in exploring complexity and its applications to medicine, food, art, science, and from a network perspective. The ideal candidate has a bioinformatics, physics, computer science, mathematics, or statistics Ph.D., and a working experience in network science/bioinformatics and ML/AI/DL.

✍️ Instructions‍:
https://www.barabasilab.com/jobs

📲Channel: @Bioinformatics

💊 Interesting paper for future Bioinformatics works

https://www.sanger.ac.uk/news_item/scientists-identify-over-140000-virus-species-in-the-human-gut-half-of-which-are-new-to-science/

📲Channel: @Bioinformatics

🧪 Re-evaluating experimental validation in the Big Data Era: a conceptual argument

Many researchers who work in fields such as bioinformatics and biomathematics, will have, at some point, come across the well-known query of whether they have ‘experimentally validated’ their results. This question, which is predominantly raised by people outside the computational field, is often asked with cynicism or at best suspicion towards results obtained from computational, mathematical or statistical models and more generally theoretical reasoning applied to empirical observations in an automated fashion.
Study more here:
https://genomebiology.biomedcentral.com/articles/10.1186/s13059-021-02292-4

📲Channel: @Bioinformatics

📝 A detailed BLAST exercise with answers

✍️ Level: Introductory

🔹Exercise:
https://teaching.healthtech.dtu.dk/22111/index.php/Exercise:_BLAST
🔸Answers:
https://teaching.healthtech.dtu.dk/22111/index.php/ExBlast-Answers

In this exercise we will be using BLAST (Basic Local Alignment Search Tool) for searching sequence databases such as GenBank (DNA data) and UniProt (protein). When using BLAST for sequence searches it is of utmost importance to be able to critically evaluate the statistical significance of the results returned.
The BLAST software package is free to use (Open Source) and can be installed on any local system — it's originally written for UNIX type Operating Systems. The package contains both programs for performing the actual sequence searches against preexisting databases (e.g. "blastn" for DNA databases and "blastp" for protein databases), as well as a tool for creating new databases from scratch (the "fortmatdb" program).
In this exercise we will be using the Web-interface to BLAST hosted by the NCBI. For our purpose there are several advantages to this approach:
-We don't have to mess around with a UNIX command prompt.
-NCBI offers direct access to preformatted BLAST databases of all the data that they host:
▫️GenBank (+ derivates)
▫️Full Genome database
▫️Protein database (Both from translated GenBank and UniProt)
It should be noted that running BLAST locally (for example at the super-computer cluster at CBS/DTU) offers much more fine-grained control of DATA and workflow (everything can be noscripted/automated) than running BLAST through a web-interface.

📲Channel: @Bioinformatics

🧑‍🏫 Workshop on Advance Bioinformatics - NGS Data Analysis and Proteomics

⏱ Time: 1-5 March 2021 | 6:30 to 8:30 PM IST

📝 Registration link:
https://genespectrum.co.in/bioinformatics-training/ngs-proteomics-workshop/

📞 For more details contact on whatsapp/telegram : +91 7021386045

📲Channel: @Bioinformatics

Study Estimates Two-Thirds of COVID-19 Hospitalizations Due to Four Conditions:
obesity, hypertension, diabetes, and heart failure

✍️ Level: General, Advanced

https://www.ahajournals.org/doi/10.1161/JAHA.120.019259

📲Channel: @Bioinformatics

⚙️ DEBKS – a tool to detect differentially expressed circular RNA

Circular RNAs (circRNAs) are involved in various biological processes and disease pathogenesis. However, only a small number of functional circRNAs have been identified among hundreds of thousands of circRNA species, partly because most current methods are based on circular junction counts and overlook the fact that circRNA is formed from the host gene by back-splicing (BS). To distinguish the expression difference originated from BS or the host gene, Peking University researchers have developed DEBKS, an effective software program to streamline the discovery of differential BS events between two rRNA-depleted RNA sequencing (RNA-seq) sample groups.

DEBKS is available at https://github.com/yangence/DEBKS as open-source software.

🗒 Study more about the research here:
https://www.sciencedirect.com/science/article/pii/S1672022921000292?via%3Dihub

📲Channel: @Bioinformatics

📹 How to Share Text Mining Results in Biology

https://www.youtube.com/watch?v=tvKtOgl-Tlc

⏰ Duration: 00:18:51

This webinar is aimed at individuals who wish to learn more about sharing and reusing results of biomedical text-mining. No prior knowledge of bioinformatics is required, but an undergraduate level knowledge of biology would be useful.

📲Channel: @Bioinformatics

🔬 Exploring the computational methods for protein-ligand binding site prediction

✍️ Level: Advanced

Identifying the residues participating in these interactions not only provides biological insights for protein function studies but also has great significance for drug discoveries. In this review, authors introduce the research background of predicting protein–ligand binding sites and then classify the methods into four categories, namely, 3D structure-based, template similarity-based, traditional machine learning-based and deep learning-based methods.

https://www.sciencedirect.com/science/article/pii/S2001037019304465

📲Channel: @Bioinformatics

👦 Using machine learning to identify blood biomarkers for early diagnosis of autism

✍️ Level: Advanced

https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0246581

The more significantly affected the child is, the higher or lower than normal the blood biomarker is. Ideally, there will be a day when a child is identified using blood biomarkers as being at risk for developing ASD and therapies can be started immediately. That would help the child develop skills to optimize their communication and learning.

📲Channel: @Bioinformatics

💊 A new survey research of computational methods for drug-target interaction (DTI) prediction and related datasets

✍️ Level: Advanced

https://academic.oup.com/bib/article/22/1/247/5681786

The task of predicting the interactions between drugs and targets plays a key role in the process of drug discovery. In this article, authors describe the data required for the task of DTI prediction followed by a comprehensive catalog consisting of machine learning methods and databases, proposed and utilized to predict DTIs. The advantages and disadvantages of each set of methods are also discussed. Lastly, the challenges in prediction of DTI using machine learning approaches are highlighted and they conclude by shedding some lights on important future research directions.

📲Channel: @Bioinformatics

👨‍💻 Getting Started in Gene Expression Microarray Analysis

✍️ Level: Intermediate

Gene expression microarrays provide a snapshot of all the trannoscriptional activity in a biological sample. Unlike most traditional molecular biology tools, microarrays facilitate the discovery of totally novel and unexpected functional roles of genes. The power of these tools has been applied to a range of applications, including discovering novel disease subtypes, developing new diagnostic tools, and identifying underlying mechanisms of disease or drug response. However, this technology necessarily produces a large amount of data, challenging us to interpret it by exploiting modern computational and statistical tools. In this brief review, we aim to indicate the major issues involved in microarray analysis and provide a useful starting point for new microarray users.

https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1000543

📲Channel: @Bioinformatics

💪 Computational Biology Boundaries

https://www.youtube.com/watch?v=eyFGZjiqLGg

📲Channel: @Bioinformatics

🧬 Sequencing Key Molecules in Just Minutes Instead of Years

https://scitechdaily.com/sequencing-key-molecules-in-just-minutes-instead-of-years/

📲Channel: @Bioinformatics