Many different tools are needed for the standard molecular dynamics (MD) analysis workflow, which frequently leads to a lack of coordination and interaction between...
We live in an era of big data. Advancements in high-throughput sequencing and other omics technologies have led to exponential growth in biological data...
Researchers from the Peter MacCallum Cancer Centre, Australia, have introduced an integrated open-source toolset called BARtab and bartools to streamline the analysis of cellular barcoding experiments....
Researchers at the University of Washington, USA, have developed a new AI system called RoseTTAFoldNA that can rapidly and accurately predict the 3D structures...
In a monumental milestone, UK Biobank has unveiled open access to incredible whole genome sequencing data for its over half a million participants. This...
Stanford University researchers developed FRAME (Fragment-Based Molecular Expansion), a machine learning framework that uses three-dimensional structures of interactions between proteins and ligands to facilitate...
Researchers from the University of Edinburgh, UK, explore the impact of ligand and protein encodings on binding affinities prediction for different data sets, a...
Deep learning techniques have had a significant influence on genomics and the sequencing techniques employed in the field due to the exponential advancements in...
The graceful, rhythmic beating of slender cellular appendages called flagella allows sperm cells and microorganisms like algae to swim. But how these waving motions...
Since the COVID pandemic began, the world has been reminded of the poor reliability of elevated body temperature for detecting infections. Even when infected...
A study conducted at the International School for Advanced Studies (SISSA) in Trieste, Italy, introduced NeuroVelo, a novel method tackling the challenge of reconstructing...
As computing power has exponentially grown, machine learning (ML) techniques have gained immense popularity in healthcare - including predicting outcomes for patients with devastating...
The UK has achieved a historic milestone by becoming the first country to authorize a revolutionary new treatment for two serious inherited blood conditions...
Researchers at the University of California, San Diego, built EUGENe (elucidating the utility of genomic elements with neural nets) – an end-to-end Python toolkit...
Proteins are incredible molecules that carry out nearly every function necessary for life. However, their staggering complexity has made designing new proteins an immensely...
We often underestimate the crucial role played by communications between cells to sustain living organisms. Flawless communication between cells is a necessity to maintain...
Researchers at the University of Lucerne utilized molecular imaging to evaluate the expression of certain regions of the human genome. The imaging techniques are...
TBtools, a toolkit used for data analysis and bioinformatics tasks, was released in 2020 and quickly found a large audience – thousands of researchers...
A team of researchers from McGill University and Hunan University developed MiRGraph, a multi-view feature-learning method based on transformers that have the ability to...
Neurodegenerative diseases like Alzheimer's and Parkinson's remain poorly understood despite intensive research. While sequencing studies have profiled diverse brain cell populations, integrating findings into...
As modern biology embraces high-throughput genomics and multi-omics profiling, the torrents of data now routinely generated necessitate improved systems organizing information to enable meaningful...
NovoMol is a novel de novo technique that increases the efficiency of clinical trial times by mass-generating therapeutic molecules with excellent oral bioavailability through...
Dalhousie University, Canada researchers have developed a new web-based tool called Multiple Protein Profiler (MPP) that can efficiently calculate 12 key physicochemical properties of...
Biomemory, a French digital storage startup, recently unveiled encapsulated DNA storage devices the size of credit cards, holding personalized messages as brief proofs of...
Universal Cell Embedding (UCE) is a foundation model proposed by a group of scientists from Stanford University. Using a corpus of cell atlas data...
We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept”, you consent to the use of ALL the cookies. Read More
This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
Cookie
Duration
Description
cookielawinfo-checkbox-analytics
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional
11 months
The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy
11 months
The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.