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github.com - GRAbB is shown to be more efficient than MITObim in terms of speed, memory and disk usage. The other functionalities (handling multiple targets simultaneously and extracting homologous regions) of the new program are not matched by other programs....

bioinformatics.chat - The bioinformatics chat is a podcast about computational biology, bioinformatics, and next generation sequencing. The bioinformatics chat is produced by Roman Cheplyaka and hosted by Roman and Jacob Schreiber.

www.phrap.org - Supports Illumina, 454, other Next-Gen and Sanger Reads and allows mixtures of these read types Consed includes BamScape which can view bam files with unlimited numbers of reads. BamScape can bring up consed to edit reads and the reference sequence...

1. Ktrim: An extra-fast, accurate adapter trimmer for sequencing data. It processes FASTQ files from multiple lanes with minimal mismatching and over-trimming of adapters.2. BWA MEM: A reliable alignment tool (particularly for mapping ALT contigs...

Study Resources for ECM3413 - Bioinformatics Contents   General Information Lecture Slides Past Exam Paper Continuous Assessments Suggested Reading List General Information This module runs in Semester 2.  It is...

You will have some previous experience with genome bioinformatics or other large scale scientific data analysis, or a newly qualified graduate student with data science skills interested in DNA sequence data. While desirable, previous experience...

A fully funded 4-year Postdoc position is available in the lab of Patrick Tschopp at the University of Basel, Switzerland, study the molecular and tissue-scale dynamics during the embryonic formation of the vertebrate skeleton and compare it...

Fungal research is a rapidly growing field with vast implications for medicine, agriculture, and industry. For bioinformaticians, the availability of specialized resources—databases, tools, and community platforms—opens doors to innovative...

Entering the world of bioinformatics is an exciting journey, filled with opportunities to combine biology, data science, and technology to address some of the most pressing scientific challenges. However, securing a position in this competitive...

In today’s era of big biology, we’re generating more data than ever before—genomes, transcriptomes, proteomes, metabolomes, microbiomes… you name it. But raw biological data doesn’t speak for itself. Making sense of it requires more than traditional...