AnithinkScience

New Country, New Language, New Education – The Unspoken of Moving to a New Country *** "Observe how long we remember our victories and how soon we forget our defeats memory is the menial of will" -Essays, "Counsels and Maxims," p.126 *** Moving to a new country is like stepping into a kaleidoscope: vibrant, unpredictable, and sometimes overwhelming. The last time I left India, I was closer to my 20s than this time around, the pandemic hadn't yet struck, and people were still careless with their hugs and handshakes but more importantly, the last time I left India, I had an excitement that exceeded my own desires for self but this time when I left for Sweden, I knew I was embarking on an adventure that would shape my life in unimaginable ways. But no amount of research or preparation could truly prepare me for the challenges (and rewards) - of a new country and of navigating a new environment, language, and culture. I've traveled and lived in many cities and ...

The AI Pivot in Computational Biology: Will Claude Science and Google AI Studio Replace Bioinformaticians?

I have spent countless late nights connected to high-performance computing clusters, debugging complex Snakemake workflows, and troubleshooting Python scripts to integrate multi-omics data. For years, this technical friction was simply the price of admission for a career in computational biology. However, looking at the capabilities of newly released tools like Claude Science and Google AI Studio, those late nights are rapidly becoming a relic of the past. As bioinformaticians and data scientists, we have historically served as the essential translators between raw genomic data and actionable biological insight. But with advanced AI models now capable of reasoning through dense scientific literature, structuring machine learning frameworks, and writing deployment-ready code, the ground beneath our profession is fundamentally shifting. This is not just an incremental software update. It is an existential pivot for computational sciences. The introduction of domain-specific AI forces us ...

The Effective Use of AI Models in Early Detection of Genetic Disorders and Diseases

Introduction: The field of genetics and genomics has made remarkable progress over the years, offering unprecedented insights into human health and disease. However, the sheer complexity of analyzing vast amounts of genomic data poses a significant challenge in the early detection of genetic disorders and diseases. With the advent of Artificial Intelligence (AI) and machine learning, there is now a promising avenue for leveraging AI models in the early detection of genetic disorders and diseases. In this blog post, we will explore the effective use of AI models in early detection, its benefits, challenges, and future prospects. Understanding AI Models: AI models are designed to emulate human intelligence, enabling computers to perform complex tasks such as pattern recognition and data analysis. Machine learning, a subset of AI, allows computers to learn and improve from experience without being explicitly programmed. By feeding AI models with large datasets, they can identify patterns ...

Hallmarks of Cancer: A layman perspective

The year 2000 review by Hanahan and Weinberg was the first concise and influential review into the known hallmarks of cancer at the time. There were 6 known hallmarks in 2000 and the discussed topics were: (1) Self sufficiency in growth signalling, (2) insensitivity to anti-growth signals, (3) evading apoptosis, (4) limitless replicative potential, (5) sustained angiogenesis and (6) tissue invasion/metastasis. Approximately 10 years later, an update on the original article titled Hallmarks II added two more emerging hallmarks: Reprogramming metabolism and evading immune response. For a simpler understanding, the study can be compared to learning how to make a fire. You identify what you need to start a fire. Obviously in this example, the common aspect is wood or dried plant and plant products or fuel; we may use a lighter, a matchbox,...

An escape to reality

I am contemplating writing this blog as i do write it but after days and weeks of contemplation i think i have found purpose for this wee blog. I would be turning 25 this year and life seems to be at a standstill with work stagnating and my personal life and relations being strained to new extremes. Maybe in a strange way, i am hoping this article of my little escape to find closure and comfort with familiar faces in unfamiliar places would act as a guide or better yet reassure someone facing the same predicament. To put a date on where this began, it would be rather difficult but a place i can begin would be from February 14th. I had just arrived back in India, heartbroken from being failed by my employers at tending to and acknowledging the efforts put in by their employees. I had pondered over the conditions for weeks and finally, i am now home. I was exhausted and i needed change but comfort. That is where this begins, on February 14th, when ...

A Fischer Mendel controversy

Ronald A. Fisher, one of the most influential statisticians of the 20th century, is widely recognized for his contributions to the field of statistics and population genetics. Born in 1890, Fisher's work on statistical methods and evolutionary theory shaped the modern understanding of genetics. In the 1930s, he became known for critiquing Gregor Mendel's famous experiments on pea plants, suggesting that Mendel's results were “too perfect” to be entirely natural. Gregor Mendel, a 19th-century Augustinian monk, published his groundbreaking work on heredity in 1866. His experiments with pea plants laid the foundation for the laws of inheritance. However, his work went largely unnoticed until its rediscovery around 1900 by three independent scientists—Hugo de Vries, Carl Correns, and Erich von Tschermak. Mendel's research explained the inheritance of traits through dominant and recessive alleles, which are now central to modern genetics. Fisher’s statistical analysis of Men...

Metagenomics: A crisp introduction

Metagenomics (MG) can be defined as the study of combined genomes in an environment containing containing a mixture of organisms. The evidenced advantage of metagenomics are best understood through a global initiative for the surveillance of emerging and re-emerging infectious diseases. The aim being to analyse and understand the transmission pathways and reservoirs of pathogens. It is intended to be a sequence-based analysis of genomes contained with an environmental sample. This blog is meant to provide you with a brief insight into the factors that are taken into consideration prior to undertaking a metagenomic study, introduction to 16S rRNA gene profiling, Whole genome sequencing and the dynamics of a single cell genome. Attached you would find a glossary for ease of access to understand by definition the meaning, as and when implied in the course of this blog. MG can be viewed as a flowchart of a project from the development of a research questions to the final data reporting and...

Education, Assessments and Research spirit of India

E.A.Rs of India Introduction: India, a global hub for IT, tech support and tourism is now finding its way into becoming self sufficient and a leader in manufacturing practises. With the population set to exceed that of China's, it would be redundant of me to speak any further without pointing out the importance of manpower in the requirement of a country to becoming one of the strongest in the world as a hub for development, if led politically and diplomatically well. That being said, India is yet to realise her potential herself, contained by her own policies that predate the 70s with regard to education reform, with a wide variety of political involvement in what should be taught and what should be left to forget, salaries and infrastructure that refrain from motivating even the most underprivileged in rural societies. How then can a country and its citizens grow, if members of the educational and research wing be regarded lesser than caretakers of society; where teachers, resear...

The Transformative Role of Wet Lab Work in Scientific Research: A Journey of Self-Improvement and Psychological Development

Scientific research, particularly in the life sciences, often necessitates extensive laboratory work, commonly referred to as "wet lab work." This essay delves into the profound influence of wet lab work on the self-improvement and psychological development of scientific researchers. It explores how the challenges, setbacks, and successes experienced in the laboratory contribute to personal growth, fostering qualities such as resilience, patience, and adaptability. Furthermore, this essay examines the interplay between scientific research, wet lab work, and mental health, emphasizing the importance of a balanced approach to self-improvement in the demanding world of scientific inquiry. Scientific research is a journey of discovery, exploration, and innovation. It is an endeavor characterized by curiosity, determination, and the pursuit of knowledge. Within the realm of scientific research, wet lab work occupies a central role, offering researchers hands-on experiences and opp...

Narcotropic Substances: A perception based analysis

It was a warm summer evening in Chennai, the humidity was at its peak and the crowds had gathered at my friend’s house. Calling him a friend would be a bit of stretch but his interest to consume narcotic substances only with company was most interesting. My parents always told me to stay away from smokers and druggies. Alcohol was fine with them, in moderation but drugs were a no-no. I reached his place on that Friday night with my mind inclined towards having beers and enjoying the company of friends and strangers alike. Never touched a narcotic substance until then even though I had been around plenty who did consume them. After an hour or two and a couple beers down the crowd was grooving to mellow beats and loud music while I sat on a bean bag relaxed as one would expect to in a stoner household. But after many political and apolitical discussions the topic of conversation turned towards why there is a stigma around the consumption or inhalation of marijuana. I added on sayin...

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content by Anirudh Nair