Tutorial

What is DNA fingerprinting?

Just like your fingerprint is unique to you, the DNA sequence in your cells contains certain variations that makes it unique as well. In fact, only 0.1% of your genome differs from any other individual. DNA fingerprinting is a technique to identify individuals based on their DNA sequence. Let’s review the best method and tools in DNA fingerprinting.   What makes your DNA unique? Short tandem repeats (STRs), or minisatellites, are locations in the chromosomes that contain short and repeated nucleotide sequences. These short sequences of repetitive DNA show greater variation from one person to the next than other parts of the genome. This variation is exhibited in the number of repeated units in the sequence. Since each variant act …

Read this post
comment
0

What is protein function prediction?

Identifying the function of a previously unknown protein is a difficult task. While some technologies such as RNA interference enable to assess the function of a protein experimentally, they are often labor-intensive and cannot match the rate at which new sequences and genes are being identified with high-throughput sequencing techniques.   Prediction by computational methods has thus become a privileged way of identifying new functions of unknown proteins. Here, we will briefly present the most recent methods and resources in computational protein function prediction.   Protein functions   Protein function is a wide term that includes several aspects of a protein activity. Having a common vocabulary to describe protein functions is essential for function prediction and annotation. The Gene Ontology (GO) …

Read this post
comment
0

Introducing our new bioinformatics protocols

As a biologist, you probably know that the key to good data analysis is the selection and use of appropriate software. Owing to the increasing complexity of biological data, the number of tools typically required to perform an analysis is constantly growing, rendering the selection of software even more difficult. Indeed, finding the best series of tools that match your analysis criteria is challenging.   A protocol is a series of software presented in a logical order. With your data as a starting point, a protocol shows you the right pathway of tools to perform your analysis.   Until now, finding the optimal workflow was very challenging because bioinformatics analyses are difficult to decipher or remain buried in the masses of biomedical texts. To face this big …

Read this post
comment
0

Choosing the right name for a bioinformatics tool

The name of your bioinformatics tool is the icing on the cake. You should be very attentive and feel concerned regarding this feature. While having a great name does not assure you to stand out, a bad appellation often results in a failure to reach your audience. The do’s and don’ts Don’t take a name that already exists Your tool is unique. As such, it deserves to have a sole name. Don’t try to copy the name of a famous tool or your favorite one. It can be detrimental for you. Indeed, people tend to compare products with each other, especially if they have the same title. They can be confused about the function of your tool.   omicX contains more …

Read this post
comment
1

Best bioinformatics software for MS-based proteomics analysis

Proteomics are the next step after genomics and transcriptomics to study biological systems. However, analyzing the proteome is much more difficult than the genome or transcriptome, because each cell expresses its own set of proteins. Mass spectrometry (MS) has emerged as the most important and popular tool to identify, characterize, and quantify proteins and their post-translational modifications with high throughput and on a large scale (Zhang et al.). To help you perform your experiments in the best conditions, we asked the OMICtools community to choose the best MS-based untargeted proteomics analysis tools. LC-MS based untargeted proteomics Two-dimension liquid-chromatography (LC) coupled with mass-spectrometry (LC-MS) is the leading technology for high-throughput proteomics. LC is used to separate proteins from different samples in parallel, and …

Read this post
comment
0

How to identify the right tools for biological data analysis

In the biology big data context, managing the amount and diversity of data that experiments produce is a challenging task. Depending on the scope of your research, you probably spend a lot of your time searching for the right bioinformatics tools.   Like most, you probably have a general idea of how to analyze your data and have used more than one tool. If you’re working in a computational biology laboratory, you’ve probably heard the question “What is the best software for genome sequence alignment?” or “What algorithm is the standard for sequence alignment in genetics?” While BLAST is probably the most popular tool for this, there are lots of other tools for mining, and aligning biological data.  So choosing the right solution for …

Read this post
comment
0

Best bioinformatics software for RNA-seq quantification and differential expression

RNA-sequencing is progressively replacing microarrays for the study of transcriptomes, and comparison of gene expression. One advantage of this technique is the ability to identify and quantify the expression of isoforms and unknown transcripts. To help you perform your experiments in the best conditions, we are closing our series of surveys on RNA-sequencing by asking the OMICtools community to choose the best quantification and differential expression tools.   1. DESeq 2. Limma 3. EdgeR RNA quantification and differential expression While microarrays produce a numerical estimate of the relative expression of genes across the genome, RNA-sequencing experiments rely on read-count distributions. After mapping reads to a reference genome, the expression level for each gene or isoform are estimated and normalized, and finally …

Read this post
comment
0

Share your best tips with protocol repositories

Research protocols are like good old recipes, they contain time-tested knowledge, and their secrets are not shared with anybody. However, due to the complexity of today’s experiments, it has become more important than ever for scientists to find and use the best protocols available. New omics technologies require precise and controlled sample preparation, and the smallest variation can lead to huge differences in the resulting output. The need for protocol repositories The “big data” has fostered the development of a number of repositories, for bioinformatics tools (OMICtools), software codes (GitHub), and peer-reviewed journals dedicated to protocols (Nature Protocols, JOVE). Following this trend, a number of initiative propose to store and reference research protocols on so-called protocol repositories. These repositories share …

Read this post
comment
0
< Previous 1 2 3 Next >