Scientific Blog


Protein Atlas Image Classification DNA Sequence Species Identity Protein Synthesis Read Alignment Problem Bioinformatics

Protein Atlas Image Classification

21st October at 09:30:28
Named in clockwise: Protein of Interest Microtubules Nucleus Endoplasmic reticulum

Models are capable of classifying mixed patterns of proteins in microscope images. The Human protein atlas therefore, uses these models to build a tool of integrated smart microscopy system which identifies a protein location.

Proteins are doers because they do a lot of functions that together enable life and Mapping all human proteins in cells, tissues and organs Images visualizing proteins in cells are commonly used for biomedical research and these cells could hold the key for the next breakthrough in medicine.

DNA Sequence Species Identity

27th September at 09:17:26
DNA Sequencing

Given a DNA Sequence, using our software and automation tools, we align the DNA Sequence to attain the Lowest-Expected-Value that identifies the exact species of the given DNA.

Protein Synthesis

14th September at 11:05:13

An object is created to represnet a given sequence. DNA default bases are appended together into a list of codons. The codons and Amino acid standard are used to create a codon table which is actually a dictionary that maps a 3-letter lower keys codon to a single upper case letter corresponding to the encoded Amino acid. The codon pattern generated is recompiled to produce the protein translation.

Read Alignment Problem

26th August at 10:10:16

Various algorithms are used to solve the read alignment problem with the commonest and fast trying alignments and for each alignment, it tries character comparisons and it does so by skipping pointless alignments using either the bad character rule and good suffix rule.


12th August at 12:18:37

Natural languages search algorithms, in the near future a combination of well-curated, mutually intelligible biological databases and powerful search tools makes it much easier for non-informaticians to generate and explore hypotheses which will make it simple for bench scientists to access and manipulate sequence data.

There's no question that biologists with little or no informatics background will be able to query increasingly complex biological data-sets in increasingly complex ways over the next few years. In biology, big data is the thing.Every day, biologists go into the lab to coax data out of living matter—more and more data. To analyze it all, biologists need to write programs specifically tailored for their experiments. From the interaction of species and populations, to the function of tissues and cells within an individual organism.