Sequence Clustering

Objective: Group sequences based on sequence similarities, tabulate the clustering data and save all sequences of each cluster in a cluster folder for later study.

Sequence clustering is an important method for studying multiple sequences. It groups sequences based on their sequence similarities for the purposes of identifying the members of a gene family, alternatively spliced variants, fragmented ESTs from a single transcript or multiple entries of single transcript to avoid redundant work. The majority of clustering programs use Unix or Linux as a platform and require a high-processing computing power and professionals to prepare data sets and generate clustering reports for field-researchers. In the cases of clustering millions of sequences, there is no other alternative method. However, when the total sequences to be clustered are fewer than 50,000, such as the whole human mRNAs or more often one gene family, those large computer-based programs become unnecessary and sometimes inconvenient. GeneLooper’s Sequence Clustering function is designed for effectively clustering small data sets. It is easy to set up and requires no programming knowledge at all.

Features:

1. Cluster sequences in flexible data sets with adjustable clustering parameters.
2. Sequences of each cluster can be saved in a common folder for later use.
3. Detect the ORFs of all sequences.
4. Instant data reporting.
5. A clustering process can be interrupted and resumed.