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Most Recent Bioinformatics Articles.
  • Microarray Data Analysis - Clustering Methods    By: Sandhya Anand

    The most common approaches in clustering are Hierarchical clustering, K- Means clustering, Self Organizing Maps, Partitioning around Mediosis and Principle Component Analysis >> Category: Bioinformatics
  • Microarray Data: To Cluster Or Not? | Purpose of Clustering    By: Sandhya Anand

    Clustering is the most popular method in gene expression analysis methods. This is a kind of descriptive statistics in which data is explored to define the similarity (dissimilarity) between the objects. >> Category: Bioinformatics
  • Process of Producing Energy in the Body and Sources of Energy    By: Zandro Cabaral

    The total energy requirement of the body is the sum of the Basal Metabolic Rate which is the energy required for the maintenance functions of the body; physical activity and Specific Dynamic Action. >> Category: Bioinformatics
  • Herbal Remedy of Dengue Fever: Euphorbia Hirta Plant (Mangagaw plant)    By: Zandro Cabaral

    The Euphorbia hirta plant, commonly known as the famous Mangagaw plant is believed to be the herbal remedy of dengue fever. The story of a group of Cebuano researchers on their efforts to decrease the mortality rate of Dengue fever in their town. Determining the thrombogenic effect of Euphorbia hirta plant concoction to mice >> Category: Bioinformatics
  • Bioenergetics, Enzymes And the Energy of Activation    By: Zandro Cabaral

    This article is about Bioenergetics and how it is affected by energy and enzymes in the body. It is the summary of my term paper when I was studying Biochemistry. >> Category: Bioinformatics
  • Bilirubin Metabolism And its Role in Neonatal Jaundice    By: Zandro Cabaral

    This article describes the metabolism of bilirubin and how the defect in its metabolism causes jaundice in neonates. >> Category: Bioinformatics
  • Steps in Microarray Data Analysis - Part II    By: Sandhya Anand

    Microarray data analysis requires numerous steps and data processing. There are complex statistical tests employed to find the significance of the research finding and these are detailed in this part. >> Category: Bioinformatics
  • Steps in Microarray Data Analysis - Part I    By: Sandhya Anand

    Microarray data requires complex preprocessing and statistical tests. The individual steps are detailed to give an overview. >> Category: Bioinformatics
  • Why and How of Normalization in Microarray Data Analysis    By: Sandhya Anand

    Normalization is the process used in microarray data analysis to correct the measurement errors and bias introduced in acquisition of data. The data from microarray experiments are log normalized format since the log forms of data always follow a Gaussian distribution. The process therefore contributes more towards error correction. >> Category: Bioinformatics
  • Introduction to Bioinformatics: Role of Mathematics and Technology    By: Amna Adnan

    Bioinformatics is the combination of Biology, Mathematics and Computer Science. It has its applications in making databases and biological tools to store raw biological data. >> Category: Bioinformatics
  • Applications of Bioinformatics in Biotechnology    By: Nidhi Uppangala

    Bioinformatics has got so many applications in biotechnology field. Some of the important ones include automatic genome sequencing, automatic identification of genes, identification of functions of gens, predicting the 3D structure modelling and pair-wise compairism of genes. >> Category: Bioinformatics
  • Pairwise Sequence Alignment For Sequence Similarity    By: Muniba Safdar

    What is pairwise alignment? It is the tool of Bioinformatics used to quantify and to visualize the sequence similarity. It is assumed that good alignment is equal to sequence similarity. In other words, the total number of alignment is huge, we need an objective function (scoring function) to identify the best alignment called 'Optimal alignment'. >> Category: Bioinformatics
  • GenScan: Bioinformatics Software For Structure Prediction and Analysis of Gene    By: Muniba Safdar

    GenScan is bioinformatics software. Its mainsail function is to acquire a DNA sequence and find the open reading frames (a sequence of DNA that could potentially encode a protein) that accord to genes. GenScan was formulated by Prof. Chris Burg who is currently working on his thesis. >> Category: Bioinformatics
  • Next Generation Sequencing Technologies: 454 Pyrosequencing    By: Lorato Lekgari

    The 454 pyrosequencing a highly parallel, cost effective and fast DNA sequencing technology compared to Sanger. It can be used to get large quantities of DNA nucleotide sequence thus a very important tool in genomic sequencing. Has lead to a break through in biotechnology, forensic science, systematics and medical science's fields. >> Category: Bioinformatics
  • Applications of Bioinformatics in Agriculture    By: Amna Adnan

    Bioinformatics tools provide the genomic information to the agriculturists due to which they are able to make plants resistant of drought, insects and pests. >> Category: Bioinformatics
  • Prenatal Diagnosis via Bioinformatics Skills    By: Muniba Safdar

    Bio-informatics tools have opened the new ways for the detection of defective genes. Bio-informatics is a gigantic field providing with them great benefits. It provides solution to the problem. It has been used everywhere for solving many problems. Researchers who are trying to materialize this field so that one could find solutions. >> Category: Bioinformatics
  • Application of Bioinformatics in Medicine    By: Muniba Safdar

    Bioinformatics has become emerging field and has been used in various areas of research including medicine. The principal goal of bioinformatics is to enhance the understanding of biological processes. >> Category: Bioinformatics
  • How Bioinformatics Handles the Biological Data?    By: Amna Adnan

    Bioinformatics provides the researchers to store all the biological information in the form of databases. The data can be analyzed and integrated by using the database. An efficient database is the one which provides efficient analysis of data. >> Category: Bioinformatics
  • Bioinformatics Application in Nanotechnology    By: Muniba Safdar

    Research in the life sciences today has entered a markedly nanoscale period, where the continuous attempt is in trying to achieve insight into living systems through their molecular function and subsequent coordinated activity. >> Category: Bioinformatics
  • Bioinformaticist vs. Bioinformatician - Definition, Differences and Career Outlook    By: Muniba Safdar

    What is the difference between Bioinformaticist are Bioinformatician. Bioinformatics has become a mainstay of genomics, proteomics, and all other information technology companies that have enrolled the business. >> Category: Bioinformatics
  • Importance and Applications of Bioinformatics in Molecular Medicine    By: Amna Adnan

    Bioinformatics is a very important field as it has helped the scientists to map the whole human genome computationally. the huge mass of biological data can be stored in the databases created by bioinformatics and this data can be extracted by using the biological tools. It has its applications in the medicine by creating such drugs which only target the diseased genes. >> Category: Bioinformatics
  • Expander: A Tool of Bioinformatics    By: Amna Adnan

    Bioinformatics has made tools for the storage of raw biological information. Expander is one of the tools which provides researchers the opportunity to analyze and observe the knowledge of gene expression present in this tool. It has the whole genome information of humans, fly, bacteria and some other organisms. >> Category: Bioinformatics
  • Role of Bioinformatics in Drug Discovery    By: Amna Adnan

    Bioinformatics is the interdisciplinary field of computer programming, biology and mathematics. Like biology, pharmaceutical industries has also used this field to make drug discovery more efficient. The mapping of human genome project has enabled the researchers to find more drug targets. >> Category: Bioinformatics
  • Career as Bioinformatician and Biostatistician    By: Amna Adnan

    Bioinformatics is a combination of computer science and computational biology. People who are interested in getting job in this field they should have a master's degree and if they want to be researchers, then it is necessary that they should be PhD. Biostatistician also works in the field of bioinformatics for the analysis of the data. >> Category: Bioinformatics

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