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Bioinformatics

iNAP: An Integrated Network Analysis Pipeline for Microbiome Studies in Complex Ecosystems

Mahi Sharma - 0
Microbial network analysis is an acceptable approach to investigating microbiome and metagenomic datasets and finding insights into a complex ecosystem. Ye Deng et al....
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AMR Alert

Scientists Investigated Microbial Communities and Resistomes in Relation to Interconnected Humans, Soil, and Livestock

Srishti Sharma - 0
Antimicrobial resistance (AMR) may be reservoired in intensive livestock farms, posing a threat to surrounding communities. The gut microbiome of livestock, workers, and their...
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Bioinformatics

Mathematical Modeling Bridges Chromatin Architecture with Potential in Genome Medicine

Mahi Sharma - 0
Scientists from the University of Michigan employed hypergraph theory, utilizing long sequence reads to map genome-wide multi-ways to identify chromatin architecture within the human...
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AI

Accelerating the Discovery of New Drugs with AI-based Screening Methods

Dr. Tamanna Anwar - 0
The researchers from the University of Central Florida identified promising drug candidates using an AI-based tool, "AttentionSiteDTI," that uses natural language to model drug-target...
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AI

Meet “ProteinMPNN,” A Robust Deep Learning-based Protein Sequence Design Algorithm

Srishti Sharma - 1
Predicting protein structure has been revolutionized by machine learning over the past two years. A similar breakthrough in protein design has now been reported...
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Bioinformatics

Microbiome Data Analysis using Differential Abundance Methods – A Benchmark Study

Srishti Sharma - 0
In order to perform an extensive benchmarking of the known tools for differential abundance analysis, the researchers from the University of Padova used a...
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AI

CheXzero: A Tool to Identify Pathologies from Unannotated Chest X-ray Images Using Self-supervised Learning

Dr. Tamanna Anwar - 0
The new tool improves clinical AI design by overcoming the major hurdle of labeling datasets for model training. Scientists at Harvard Medical School and Stanford...
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Bioinformatics

DeepFold: A Fast and Accurate Method for Ab Initio Protein Structure Prediction using Deep Learning Potentials

Srishti Sharma - 0
Scientists from the University of Michigan developed an open-source program, DeepFold, to quickly construct accurate protein structure models from deep learning-based potentials. In spite...
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Bioinformatics

Vanderbilt University Researchers Suggest a New Mechanism for the Lipid Transporter

Dr. Tamanna Anwar - 0
New research from Vanderbilt University suggests that a protein involved in the production of high-density lipoprotein (HDL) works differently than previously believed. High-density lipoproteins (HDL)...
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AI

Researchers at Tufts use Artificial Intelligence to Improve Tuberculosis Treatments

Dr. Tamanna Anwar - 1
A challenge to tuberculosis treatment regimen design is the need to combine three or more antibiotics. The study shows how machine learning can provide...
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Big Data

MIT Biologists Develop a New Computational Approach to Gain Insights into Repetitive Protein Sequences

Dr. Tamanna Anwar - 0
The computational analysis of proteins reveals that many repetitive sequences are shared across proteins and show similarities in species from bacteria to humans. MIT biologists...
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AI

Microsoft and Novo Nordisk Collaborate to Accelerate Drug Discovery and Development using Big Data and Artificial Intelligence

Dr. Tamanna Anwar - 0
Novo Nordisk, a leading global healthcare company headquartered in Denmark, has entered into a new strategic collaboration with Microsoft Corp. to accelerate drug discovery...
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AI

Scientists Develop an Artificial Intelligence Tool that Could Reduce the Side Effects of Common Drugs

Dr. Tamanna Anwar - 0
It may be possible for clinicians to use artificial intelligence to identify patients who are most prone to experiencing harmful side effects when taking...
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AI

Scientists Develop an Improved Method for Detecting Myeloma Bone Disease using Deep Learning Coupled Photon-counting CT

Dr. Tamanna Anwar - 0
Scientists have developed a new CT technique using artificial intelligence (AI) to spot multiple myeloma-related bone diseases, using lower radiation doses than conventional CT,...
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AI

A New AI Model can Detect COVID-19 Cases by Analyzing Changes in Voice Data

Dr. Tamanna Anwar - 0
A deep learning model based on voice data from crowd-sourced audio samples detects COVID-19 cases by analyzing subtle vocal changes. At an international congress of...
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Antibiotic Resistance

Researchers at Mount Sinai Determined the Crystal Structure of the SARS-CoV-2 Key Enzyme, Paving the Way for Novel Antivirals

Dr. Tamanna Anwar - 0
Researchers at Mount Sinai have solved the high-resolution crystal structure of a critical enzyme of SARS-CoV-2, leading to the development of new antivirals. This...
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Bioinformatics

Cancer Omics Data Analysis Simplified with a Graphical Interface-driven Bioinformatics Pipeline ‘iCOMIC’

Srishti Sharma - 0
Researchers from the Indian Institute of Technology, Madras, present iCOMIC, a tool for quickly analyzing genomic data. With iCOMIC, users can analyze whole genome...
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Bioinformatics

Scientists Construct a Single-cell Level Cross-species Cell Landscape by Integrating Over 2.6 Million Single Cells

Srishti Sharma - 0
Life is based on individual cells. Landscape dynamics across species have not been compared despite extensive efforts to characterize cellular heterogeneity. A large number...
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Bioinformatics

MVsim – A Toolset for Simulating Complex Molecular Interactions Could Improve Cancer and COVID-19 Treatments

Dr. Tamanna Anwar - 0
MVsim is a new application suite that enables the quantification, design, and mechanistic evaluation of multivalent binding interactions. It can be used to simulate...
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Bioinformatics

Machine Learning Reveals How Bacterial Population Growth is Linked to the Environment

Dr. Tamanna Anwar - 0
University of Tsukuba researchers used machine learning to discover that differentiation in decision-making factors for the lag, growth, and saturation phases of bacterial population...
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Must Read

gut microbiome associated with Carbapenemase-producing Enterobacteriaceae infections.

Understanding the Population Dynamics for AMR Burden due to Carbapenemase-producing Enterobacteriaceae in Gut Microbiome

Mahi Sharma - 0
Scientists from A*STAR's Genome Institute of Singapore (GIS) discovered that carbapenemase-producing Enterobacteriaceae (CPE) could hide out among gut bacteria in asymptomatic humans. Long-term research...
Long non-coding RNAs (lncRNAs) in the cardiovascular system

Researchers Identified Deep Learning Tools as the Top Performers for Predicting Long Non-coding RNA

Srishti Sharma - 0
New RNA transcripts have been discovered as a result of the growing amount of transcriptomic data. Bioinformatic tool developers have had difficulty separating long...
Integrating temporal single-cell gene expression modalities for trajectory inference and disease prediction

In a Benchmark Study, Scientists Investigated the Integration of Temporal Sequencing Modalities for Trajectory...

Mahi Sharma - 0
Recent advancements in trajectory inferences have unfolded a new side of bioinformatics, i.e., single-cell analysis. The research group from the University of Northern Carolina...
A machine learning tool - SigProfilerExtractor has identified a link between bladder cancer and tobacco smoking.

New AI Tool ‘SigProfilerExtractor’ Identifies Mutational Signature Linked To Tobacco Smoking and Bladder Cancer

Srishti Sharma - 0
A new powerful machine learning tool, 'SigProfilerExtractor' has identified a link between bladder cancer and tobacco smoking. The study was led by researchers at the...
mutation-in-the-cancer-biological-process

Eliminating the Confounder Bias – A Radical Approach for Better Identification of Cancer Drug...

Shwetha S - 1
Researchers from Jilin University have constructed a machine learning-based model that reduces confounders' effects to identify potential driver genes involved in cancer initiation and...

CBIRT provides short term training in bioinformatics for students/researchers/life science graduates, etc. The program aims at providing rigourous training required to excel in current dynamic scientific research environment. For more details

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