FPGA-based systems – a very specialized programming skill that many bioinformatics developers don’t have
An “ecosystem” of partners who will use programmable hardware to create a standardized approach for analyzing data from second-generation sequencing instruments. Intel Seeks Partners to Develop FPGA-Based Solution for Next-Gen Sequencing Analysis. “Primary data analysis seems to be where Intel can play the most useful role” in the field, considering the initial analytical steps in sequencing: image processing, base calling, and alignment and assembly.
One downside to this scenario, however, is that these codes would need to be written for FPGA-based systems – a very specialized programming skill that many bioinformatics developers don’t have. This challenge could present an opportunity for companies that develop FPGA-based algorithms and software-development toolkits.
While the task of harvesting data from second-generation sequencing instruments has only just begun, both large and small labs are already facing some big choices over how to store the terabytes of data that these tools generate. Facing a Tangle of Tape, Scientists Seek New Options for Storing Sequencing Data. Fact that next-gen sequencing vendors have concentrated on engineering their instruments, but may have not spent the same degree of effort thinking about where the data will go.
One downside to this scenario, however, is that these codes would need to be written for FPGA-based systems – a very specialized programming skill that many bioinformatics developers don’t have. This challenge could present an opportunity for companies that develop FPGA-based algorithms and software-development toolkits.
While the task of harvesting data from second-generation sequencing instruments has only just begun, both large and small labs are already facing some big choices over how to store the terabytes of data that these tools generate. Facing a Tangle of Tape, Scientists Seek New Options for Storing Sequencing Data. Fact that next-gen sequencing vendors have concentrated on engineering their instruments, but may have not spent the same degree of effort thinking about where the data will go.
Comments