1460735898-c6c5a699-30c3-4534-aceb-bdb198c50a90

1. A method comprising:
receiving one or more indications of status for a plurality of individual entities with respect to corresponding execution elements defined for each respective individual entity of the individual entities;
correlating the indications of status to at least one individual entity priority in a set of individual entity priorities for a time period;
correlating each of the individual entity priorities for the time period to at least one group priority in a set of group priorities for the same time period;
correlating each group priority in a set of group priorities for a time period to at least one group priority in a set of group priorities for a subsequent time period;
providing a representation of connections between a group priority for a respective time period and one or more group priorities for a subsequent time period or one or more individual entity priorities, or a representation of connections between an individual entity priority and one or more execution elements; and
mapping an amount of human energy associated with the group priorities or the individual entity priorities by providing one or more graphical representations of an amount of resources associated with the group priorities or the individual entity priorities based on the indications of status.
2. The method of claim 1, further comprising:
defining connections between one or more execution elements and one or more individual entity priorities;
defining connections between one or more individual entity priorities and one or more group priorities in a same time period; and
defining connections between one or more group priorities in a respective time period and one or more group priorities in a subsequent time period.
3. The method of claim 1, wherein providing a representation of connections further comprises enabling access to detailed information regarding each of the connected group priorities or individual entity priorities via selection of a graphical indicia corresponding to each displayed connection.
4. The method of claim 1, wherein mapping the amount of the human energy associated with the group priorities or the individual entity priorities further comprises providing a graphical indicia of status with respect to each of the resources based on a corresponding received indication for each of the resources.
5. A computer program product comprising a non-transitory computer readable storage medium and computer program instructions stored therein, the computer program instructions comprising commuter program instructions configured to:
receive one or more indications of status for a plurality of individual entities with respect to corresponding execution elements defined for each respective individual entity of the individual entities;
correlate the indications of status to at least one individual entity priority in a set of individual entity priorities for a time period;
correlate each of the individual entity priorities for the time period to at least one group priority in a set of group priorities for the same time period;
correlate each group priority in a set of group priorities for a time period to at least one group priority in a set of group priorities for a subsequent time period;
provide a representation of connections between a group priority for a respective time period and one or more group priorities for a subsequent time period or one or more individual entity priorities, or a representation of connections between an individual entity priority and one or more execution elements; and
map an amount of human energy associated with the group priorities or the individual entity priorities by providing one or more graphical representations of an amount of resources associated with the group priorities or the individual entity priorities based on the indications of status.
6. The computer program product of claim 5 further comprising the commuter program instructions configured to:
define connections between one or more execution elements and one or more individual entity priorities;
define connections between one or more individual entity priorities and one or more group priorities in a same time period; and
define connections between one or more group priorities in a respective time period and one or more group priorities in a subsequent time period.
7. The computer program product of claim 5, wherein providing a representation of connections further comprises enabling access to detailed information regarding each of the connected group priorities or individual entity priorities via selection of a graphical indicia corresponding to each displayed connection.
8. The computer program product of claim 5, wherein mapping the amount of the human energy associated with the group priorities or the individual entity priorities further comprises providing a graphical indicia of status with respect to each of the resources based on a corresponding received indication for each of the resources.
9. An apparatus comprising at least one processor and at least one memory including computer program instructions, the at least one memory and the commuter program instructions being configured to, in cooperation with the at least one processor, cause the apparatus at least to:
receive one or more indications of status for a plurality of individual entities with respect to corresponding execution elements defined for each respective individual entity of the individual entities;
correlate the indications of status to at least one individual entity priority in a set of individual entity priorities for a time period;
correlate each of the individual entity priorities for the time period to at least one group priority in a set of group priorities for the same time period;
correlate each group priority in a set of group priorities for a time period to at least one group priority in a set of group priorities for a subsequent time period;
provide a representation of connections between a group priority for a respective time period and one or more group priorities for a subsequent time period or one or more individual entity priorities, or a representation of connections between an individual entity priority and one or more execution elements; and
map an amount of human energy associated with the group priorities or the individual entity priorities by providing one or more graphical representations of an amount of resources associated with the group priorities or the individual entity priorities based on the indications of status.
10. The apparatus of claim 9, further comprising the at least one memory and the commuter program instructions being configured to cause the apparatus to:
define connections between one or more execution elements and one or more individual entity priorities;
define connections between one or more individual entity priorities and one or more group priorities in a same time period; and
define connections between one or more group priorities in a respective time period and one or more group priorities in a subsequent time period.
11. The apparatus of claim 9, wherein providing a representation of connections further comprises enabling access to detailed information regarding each of the connected group priorities or individual entity priorities via selection of a graphical indicia corresponding to each displayed connection.
12. The apparatus of claim 9, wherein mapping the amount of the human energy associated with the group priorities or the individual entity priorities further comprises providing a graphical indicia of status with respect to each of the resources based on a corresponding received indication for each of the resources.

The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.

1. An array of probes comprising: more than 250,000 different experimental probe features, wherein
(a) each experimental probe feature comprises a plurality of copies of a nucleic acid probe that is different in sequence from the probes of every other feature of the array;
(b) each probe feature is at a known or determinable location in the array; and
(c) at least 90% of the probe features contain full length probes that are perfectly complementary to a CpG island, wherein a CpG island is a genomic region that is at least 200 bases and has a GC content of at least 50% over its length.
2. The array of claim 1 wherein the full length probes are between 20 and 100 bases in length and are complementary to sequences in the genomes of human, mouse and rat.
3. The array of claim 1 further comprising a plurality of control features.
4. The array of claim 3 wherein the control features comprise one or more types of control features selected from the group of control feature types comprising: GC content matched anti-genomic controls, bacterial genome controls, Arabidopsis genome controls, pseudomonas genome controls; repeat region controls, 18S rRNA gene controls, 28S rRNA gene controls; and probes to one or more genes that are known to be regulated by methylation.
5. An array comprising a plurality of at least 10,000 experimental probes each consisting of a different sequence from SEQ ID NO. 1-222,822 and wherein said array comprises a first probe consisting of SEQ ID NO. 1, a second probe consisting of SEQ ID NO. 2 and a third probe consisting of SEQ ID NO. 3.
6. The array of claim 5 wherein said array comprises at least 50,000 different experimental probes.
7. The array of claim 5 further comprising each of the sequences in SEQ ID NO. 1-222,822 wherein each sequence is present in a different feature of the array.
8. The array of claim 1 wherein each probe is between 20 and 100 bases, wherein the array comprises at least 300,000 probes and wherein at least 80% of the probes comprise at least one CG dinucleotide.
9. The array of claim 8 wherein at least 50% of the probes comprise at least two CG dinucleotides.
10. The array of claim 8 wherein at least 20% of the probes comprise at least three CG dinucleotides.
11. A method of selecting probes to be included in an array of probes comprising:
identifying a plurality of CpG islands wherein said plurality comprises more than 10,000 different CpG islands in the genome of a single organism, wherein a CpG island is a genomic region that is at least 200 bases in length and has a GC content of at least 50%;
defining the ends of each CpG island and thereby identifying a probe selection region for each CpG island in the plurality; and
selecting a probe set for each probe selection region, wherein each probe set comprises at least 2 probes that are perfectly complementary to the probe selection region targeted by that probe set.
12. The method of claim 11 further comprising identifying a plurality of genes in said organism that are regulated by methylation and selecting a probe set for each of said genes, wherein each probe set comprises at least 2 probes that are perfectly complementary to the gene targeted by the probe set.
13. The method of claim 11 wherein the organism is human and the plurality comprises more than 25,000 CpG islands.
14. The method of claim 13 wherein each CpG island is targeted by a probe set comprising at least 4 perfect match probes.
15. The method of claim 11 wherein the organism is mouse.
16. The method of claim 11 wherein the organism is rat.